diff --git a/README.md b/README.md index c28f95c4..4549a507 100644 --- a/README.md +++ b/README.md @@ -116,6 +116,7 @@ * [@jiangzhonglian](https://github.com/jiangzhonglian)（片刻） * [@wangyangting](https://github.com/wangyangting)（那伊抹微笑） * [@chenyyx](https://github.com/chenyyx)（瑶妹） +* [@zehuichen](https://github.com/zehuichen123)(loveSnowBest) * [@谈笑风生](https://github.com/zhu1040028623)（谈笑风生） > 加入方式 diff --git a/competitions/getting-started/housePredict.py b/competitions/getting-started/housePredict.py new file mode 100755 index 00000000..2de072c3 --- /dev/null +++ b/competitions/getting-started/housePredict.py @@ -0,0 +1,45 @@ +#!/usr/bin/env python3 +#-*- coding:utf-8 -*- +''' +Created on 2017-12-2 +Update on 2017-12-2 +Author: loveSnowBest +Github: https://github.com/zehuichen123/kaggle +''' + +import numpy as np +import pandas as pd +from sklearn.ensemble import GradientBoostingRegressor +from sklearn.preprocessing import StandardScaler + +rawData=pd.read_csv('train.csv') +testData=pd.read_csv('test.csv') +testId=testData['Id'] +X_test=testData.drop(['Id'],axis=1) + +Y_train=rawData['SalePrice'] +X_train=rawData.drop(['SalePrice','Id'],axis=1) + +X=pd.concat([X_train,X_test],axis=0,keys={'train','test'},ignore_index=False) + +X_d=pd.get_dummies(X) + +keep_cols=X_d.select_dtypes(include=['number']).columns +X_d=X_d[keep_cols] + +X_train=X_d.loc['train'] +X_test=X_d.loc['test'] + +X_train=X_train.fillna(X_train.mean()) +X_test=X_test.fillna(X_test.mean()) + +ss=StandardScaler() +X_scale=ss.fit_transform(X_train) +X_test_scale=ss.transform(X_test) + +rr=GradientBoostingRegressor(n_estimators=3000,learning_rate=0.05, max_features='sqrt') + +rr.fit(X_scale,Y_train) +predict=np.array(rr.predict(X_test_scale)) +final=np.hstack((testId.reshape(-1,1),predict.reshape(-1,1))) +np.savetxt('new.csv',final,delimiter=',',fmt='%d') diff --git a/competitions/getting-started/housePrices.md b/competitions/getting-started/housePrices.md new file mode 100644 index 00000000..bcd93c07 --- /dev/null +++ b/competitions/getting-started/housePrices.md @@ -0,0 +1,294 @@ + +# House Prices: Advanced Regression Techniques in Kaggle + +*author: loveSnowBest* + +## 1. A brief introduction to this competition +This competition is a getting started one. As the title shows us, what we need to use for this competition is regression model. Here is the official description about this compeition: +> Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. +With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home. + +## 2. My solution + +### import what we need + + + +```python +import numpy as np +import pandas as pd +from sklearn.ensemble import GradientBoostingRegressor +from sklearn.preprocessing import StandardScaler +``` + +### load the data + + +```python +rawData=pd.read_csv('train.csv') +testData=pd.read_csv('test.csv') +``` + +And let's have a look at our data use head method: + + +```Python +rawData.head() +``` + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
IdMSSubClassMSZoningLotFrontageLotAreaStreetAlleyLotShapeLandContourUtilities...PoolAreaPoolQCFenceMiscFeatureMiscValMoSoldYrSoldSaleTypeSaleConditionSalePrice
0160RL65.08450PaveNaNRegLvlAllPub...0NaNNaNNaN022008WDNormal208500
1220RL80.09600PaveNaNRegLvlAllPub...0NaNNaNNaN052007WDNormal181500
2360RL68.011250PaveNaNIR1LvlAllPub...0NaNNaNNaN092008WDNormal223500
3470RL60.09550PaveNaNIR1LvlAllPub...0NaNNaNNaN022006WDAbnorml140000
4560RL84.014260PaveNaNIR1LvlAllPub...0NaNNaNNaN0122008WDNormal250000
+

5 rows × 81 columns

+
+ + + +### split original data into X,Y +First, we use drop method to split rawData into X and Y. Since we need to give Id for prediction, we should save testId before we drop them and finally we put it back. + + +```python +Y_train=rawData['SalePrice'] +X_train=rawData.drop(['SalePrice','Id'],axis=1) + +testId=testData['Id'] +X_test=testData.drop(['Id'],axis=1) +``` + +### deal with categorical data +In scikit, we can use DictVectorizer and in pandas we can just use get_dummies. Here I choose the latter one. To use dummies we should put the X_train and X_test together. + + +```python +# add new keys train and test for the convienence of the future split +X=pd.concat([X_train,X_test],axis=0,keys={'first','second'}, + ignore_index=False) +X_d=pd.get_dummies(X) +``` + +DO NOT forget to drop the original categorical data for pandas won't help you drop them automatically. You need to drop it manually: + + +```python +keep_cols=X_d.select_dtypes(include=['number']).columns +X_d=X_d[keep_cols] +``` + +Finally, we need to get our X_train and X_test back + + +```python +if len(X_d.loc['first'])==1460: + X_train=X_d.loc['first'] + X_test=X_d.loc['second'] +else: + X_train=X_d.loc['second'] + X_test=X_d.loc['first'] +``` + +### deal with missing data +pandas provides us with a convienent way to fill missing data with average/median. Here we choose to fill the NA with average. Note to self: sometimes we use median() to avoid the influence by outlier. + + +```python +X_train=X_train.fillna(X_train.mean()) +X_test=X_test.fillna(X_test.mean()) +``` + +### Use StandardScaler to make data better for your model +There are some methods to scale data in scikit, like standardScaler, RobustScaler. Here we choose StandardScaler. + + +```python +ss=StandardScaler() +X_scale=ss.fit_transform(X_train) +X_test_scale=ss.transform(X_test) +``` + +### Choose your linear model +In scikit, we have,emmmmm,let's see: +- LinearRegression +- SVM +- RandomForestRegressor +- LassoCV +- RidgeCV +- ElasticCV +- GradientBoostingRegressor + +Also, you can use XGBoost for this competition. After several attempts with these models, I find GradientBoostingRegressor has the best perfermance. + + +```python +gbr=GradientBoostingRegressor(n_estimators=3000,learning_rate=0.05, + max_features='sqrt') +gbr.fit(X_scale,Y_train) +predict=np.array(gbr.predict(X_test_scale)) +``` + +### Save our prediction + +Lack of knowledge about python, I don't know how to add feature names when I save them as csv. So I add 'Id' and 'SalePrice' manually afterwards. + + +```python +final=np.hstack((testId.reshape(-1,1),predict.reshape(-1,1))) +np.savetxt('new.csv',final,delimiter=',',fmt='%d') +``` + + /Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/ipykernel_launcher.py:1: FutureWarning: reshape is deprecated and will raise in a subsequent release. Please use .values.reshape(...) instead + """Entry point for launching an IPython kernel. + + +## 3.Summary +This is just a simple sample for this competition. To get better score in this competition, we need to go deeper into the feature engineering and feature selection rather than simply selecting our model and training it. Furthermore, I think this is the most important part which deserves more focus since it will determine whether you can get to the top leaderboads in competitions. diff --git "a/src/python/getting-started/\345\214\226\347\271\201\344\270\272\347\256\200.ipynb" "b/src/python/getting-started/\345\214\226\347\271\201\344\270\272\347\256\200.ipynb" new file mode 100644 index 00000000..591bd987 --- /dev/null +++ "b/src/python/getting-started/\345\214\226\347\271\201\344\270\272\347\256\200.ipynb" @@ -0,0 +1,33784 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IdMSSubClassMSZoningLotFrontageLotAreaStreetAlleyLotShapeLandContourUtilities...PoolAreaPoolQCFenceMiscFeatureMiscValMoSoldYrSoldSaleTypeSaleConditionSalePrice
0160RL65.08450PaveNaNRegLvlAllPub...0NaNNaNNaN022008WDNormal208500
1220RL80.09600PaveNaNRegLvlAllPub...0NaNNaNNaN052007WDNormal181500
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" + ], + "text/plain": [ + " Id MSSubClass MSZoning LotFrontage LotArea Street Alley LotShape \\\n", + "0 1 60 RL 65.0 8450 Pave NaN Reg \n", + "1 2 20 RL 80.0 9600 Pave NaN Reg \n", + "2 3 60 RL 68.0 11250 Pave NaN IR1 \n", + "3 4 70 RL 60.0 9550 Pave NaN IR1 \n", + "4 5 60 RL 84.0 14260 Pave NaN IR1 \n", + "\n", + " LandContour Utilities ... PoolArea PoolQC Fence MiscFeature MiscVal \\\n", + "0 Lvl AllPub ... 0 NaN NaN NaN 0 \n", + "1 Lvl AllPub ... 0 NaN NaN NaN 0 \n", + "2 Lvl AllPub ... 0 NaN NaN NaN 0 \n", + "3 Lvl AllPub ... 0 NaN NaN NaN 0 \n", + "4 Lvl AllPub ... 0 NaN NaN NaN 0 \n", + "\n", + " MoSold YrSold SaleType SaleCondition SalePrice \n", + "0 2 2008 WD Normal 208500 \n", + "1 5 2007 WD Normal 181500 \n", + "2 9 2008 WD Normal 223500 \n", + "3 2 2006 WD Abnorml 140000 \n", + "4 12 2008 WD Normal 250000 \n", + "\n", + "[5 rows x 81 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train = pd.read_csv('../input/train.csv')\n", + "train.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IdMSSubClassMSZoningLotFrontageLotAreaStreetAlleyLotShapeLandContourUtilities...ScreenPorchPoolAreaPoolQCFenceMiscFeatureMiscValMoSoldYrSoldSaleTypeSaleCondition
0146120RH80.011622PaveNaNRegLvlAllPub...1200NaNMnPrvNaN062010WDNormal
1146220RL81.014267PaveNaNIR1LvlAllPub...00NaNNaNGar21250062010WDNormal
2146360RL74.013830PaveNaNIR1LvlAllPub...00NaNMnPrvNaN032010WDNormal
3146460RL78.09978PaveNaNIR1LvlAllPub...00NaNNaNNaN062010WDNormal
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" + ], + "text/plain": [ + " Id MSSubClass MSZoning LotFrontage LotArea Street Alley LotShape \\\n", + "0 1461 20 RH 80.0 11622 Pave NaN Reg \n", + "1 1462 20 RL 81.0 14267 Pave NaN IR1 \n", + "2 1463 60 RL 74.0 13830 Pave NaN IR1 \n", + "3 1464 60 RL 78.0 9978 Pave NaN IR1 \n", + "4 1465 120 RL 43.0 5005 Pave NaN IR1 \n", + "\n", + " LandContour Utilities ... ScreenPorch PoolArea PoolQC Fence \\\n", + "0 Lvl AllPub ... 120 0 NaN MnPrv \n", + "1 Lvl AllPub ... 0 0 NaN NaN \n", + "2 Lvl AllPub ... 0 0 NaN MnPrv \n", + "3 Lvl AllPub ... 0 0 NaN NaN \n", + "4 HLS AllPub ... 144 0 NaN NaN \n", + "\n", + " MiscFeature MiscVal MoSold YrSold SaleType SaleCondition \n", + "0 NaN 0 6 2010 WD Normal \n", + "1 Gar2 12500 6 2010 WD Normal \n", + "2 NaN 0 3 2010 WD Normal \n", + "3 NaN 0 6 2010 WD Normal \n", + "4 NaN 0 1 2010 WD Normal \n", + "\n", + "[5 rows x 80 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test = pd.read_csv('../input/test.csv')\n", + "test.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "数值型和类别型分开处理" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dtype('int64')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test.dtypes['Id']" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Id', 'MSSubClass', 'LotFrontage', 'LotArea', 'OverallQual', 'OverallCond', 'YearBuilt', 'YearRemodAdd', 'MasVnrArea', 'BsmtFinSF1', 'BsmtFinSF2', 'BsmtUnfSF', 'TotalBsmtSF', '1stFlrSF', '2ndFlrSF', 'LowQualFinSF', 'GrLivArea', 'BsmtFullBath', 'BsmtHalfBath', 'FullBath', 'HalfBath', 'BedroomAbvGr', 'KitchenAbvGr', 'TotRmsAbvGrd', 'Fireplaces', 'GarageYrBlt', 'GarageCars', 'GarageArea', 'WoodDeckSF', 'OpenPorchSF', 'EnclosedPorch', '3SsnPorch', 'ScreenPorch', 'PoolArea', 'MiscVal', 'MoSold', 'YrSold']\n", + "['MSZoning', 'Street', 'Alley', 'LotShape', 'LandContour', 'Utilities', 'LotConfig', 'LandSlope', 'Neighborhood', 'Condition1', 'Condition2', 'BldgType', 'HouseStyle', 'RoofStyle', 'RoofMatl', 'Exterior1st', 'Exterior2nd', 'MasVnrType', 'ExterQual', 'ExterCond', 'Foundation', 'BsmtQual', 'BsmtCond', 'BsmtExposure', 'BsmtFinType1', 'BsmtFinType2', 'Heating', 'HeatingQC', 'CentralAir', 'Electrical', 'KitchenQual', 'Functional', 'FireplaceQu', 'GarageType', 'GarageFinish', 'GarageQual', 'GarageCond', 'PavedDrive', 'PoolQC', 'Fence', 'MiscFeature', 'SaleType', 'SaleCondition']\n" + ] + } + ], + "source": [ + "num_columns = []\n", + "cate_columns = []\n", + "for column in test.columns:\n", + " if test.dtypes[column] != np.dtype('object'):\n", + " num_columns.append(column)\n", + " else:\n", + " cate_columns.append(column)\n", + "print(num_columns)\n", + "print(cate_columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "label = train.pop('SalePrice')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "填充缺失" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# 数值型用中值填充\n", + "for column in num_columns:\n", + " train[column] = train[column].fillna(train[column].median())\n", + " test[column] = test[column].fillna(test[column].median())\n", + "\n", + "# # 类别型用最多的填充 # 线上0.13488\n", + "# for column in cate_columns:\n", + "# train[column] = train[column].fillna(train[column].mode())\n", + "# test[column] = test[column].fillna(test[column].mode())\n", + " \n", + "# 类别型填充'NaN' # 线上0.13436\n", + "for column in cate_columns:\n", + " train[column] = train[column].fillna('NaN')\n", + " test[column] = test[column].fillna('NaN')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "类别型哑变量处理" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data = pd.concat([train,test],axis=0) #训练集要和测试集放一起\n", + "for column in cate_columns:\n", + " \n", + " t = pd.get_dummies(data[column],prefix=column)\n", + " train = pd.concat([train,t[:len(train)]],axis=1)\n", + " train.drop(column,axis=1,inplace=True)\n", + " \n", + " test = pd.concat([test,t[len(train):]],axis=1)\n", + " test.drop(column,axis=1,inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "回归走起" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "from sklearn.linear_model import Lasso,LinearRegression,Ridge,ElasticNet,TheilSenRegressor,HuberRegressor,RANSACRegressor\n", + "from sklearn.svm import SVR\n", + "from sklearn.tree import DecisionTreeRegressor,ExtraTreeRegressor\n", + "from sklearn.ensemble import AdaBoostRegressor,ExtraTreesRegressor,GradientBoostingRegressor,RandomForestRegressor\n", + "from xgboost import XGBRegressor\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.metrics import mean_squared_error\n", + "import itertools" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(train, label, test_size=0.33, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "regs = [\n", + " ['Lasso',Lasso()],\n", + " ['LinearRegression',LinearRegression()],\n", + " ['Ridge',Ridge()],\n", + " ['ElasticNet',ElasticNet()],\n", + " ['TheilSenRegressor',TheilSenRegressor()],\n", + " ['RANSACRegressor',RANSACRegressor()],\n", + " ['HuberRegressor',HuberRegressor()],\n", + " ['SVR',SVR(kernel='linear')],\n", + " ['DecisionTreeRegressor',DecisionTreeRegressor()],\n", + " ['ExtraTreeRegressor',ExtraTreeRegressor()],\n", + " ['AdaBoostRegressor',AdaBoostRegressor(n_estimators=150)],\n", + " ['ExtraTreesRegressor',ExtraTreesRegressor(n_estimators=150)],\n", + " ['GradientBoostingRegressor',GradientBoostingRegressor(n_estimators=150)],\n", + " ['RandomForestRegressor',RandomForestRegressor(n_estimators=150)],\n", + " ['XGBRegressor',XGBRegressor(n_estimators=150)],\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Lasso\n", + "LinearRegression" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.\n", + " ConvergenceWarning)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Ridge\n", + "ElasticNet\n", + "TheilSenRegressor\n", + "y_pred have 1 negative values, we fill it with np.median(y_pred)\n", + "RANSACRegressor\n", + "y_pred have 1 negative values, we fill it with np.median(y_pred)\n", + "HuberRegressor\n", + "SVR\n", + "DecisionTreeRegressor\n", + "ExtraTreeRegressor\n", + "AdaBoostRegressor\n", + "ExtraTreesRegressor\n", + "GradientBoostingRegressor\n", + "RandomForestRegressor\n", + "XGBRegressor\n" + ] + } + ], + "source": [ + "preds = []\n", + "for reg_name,reg in regs:\n", + " print(reg_name)\n", + " reg.fit(X_train,y_train)\n", + " y_pred = reg.predict(X_test)\n", + " if np.sum(y_pred<0) > 0:\n", + " print('y_pred have',np.sum(y_pred<0),'negative values, we fill it with np.median(y_pred)')\n", + " y_pred[y_pred<0] = np.median(y_pred)\n", + " score = np.sqrt(mean_squared_error(np.log(y_test),np.log(y_pred)))\n", + " preds.append([reg_name,y_pred])" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model Amount : 1\n", + "GradientBoostingRegressor 0.133400775498\n", + "XGBRegressor 0.135452373343\n", + "RandomForestRegressor 0.146986410514\n", + "ExtraTreesRegressor 0.163995003619\n", + "Lasso 0.164197374564\n", + "Ridge 0.165564495344\n", + "ElasticNet 0.173365651563\n", + "LinearRegression 0.176583028477\n", + "SVR 0.19083071496\n", + "TheilSenRegressor 0.191042908374\n", + "RANSACRegressor 0.192942079892\n", + "AdaBoostRegressor 0.204862821167\n", + "DecisionTreeRegressor 0.211129131696\n", + "HuberRegressor 0.230319112049\n", + "ExtraTreeRegressor 0.232806183519\n", + "\n", + "Model Amount : 2\n", + "Lasso+XGBRegressor 0.127194837142\n", + "Lasso+GradientBoostingRegressor 0.127648646599\n", + "LinearRegression+XGBRegressor 0.129854978109\n", + "LinearRegression+GradientBoostingRegressor 0.130322414269\n", + "Lasso+RandomForestRegressor 0.131777367574\n", + "Ridge+GradientBoostingRegressor 0.132674339351\n", + "Ridge+XGBRegressor 0.132717636512\n", + "GradientBoostingRegressor+XGBRegressor 0.133092668715\n", + "TheilSenRegressor+GradientBoostingRegressor 0.134189654069\n", + "LinearRegression+RandomForestRegressor 0.134459423562\n", + "TheilSenRegressor+XGBRegressor 0.13452849859\n", + "Ridge+RandomForestRegressor 0.135965557993\n", + "GradientBoostingRegressor+RandomForestRegressor 0.136722351754\n", + "RandomForestRegressor+XGBRegressor 0.137379778459\n", + "RANSACRegressor+XGBRegressor 0.137778252354\n", + "RANSACRegressor+GradientBoostingRegressor 0.13887130292\n", + "TheilSenRegressor+RandomForestRegressor 0.138939845235\n", + "Lasso+ExtraTreesRegressor 0.139028201472\n", + "ElasticNet+GradientBoostingRegressor 0.140793992378\n", + "ElasticNet+XGBRegressor 0.141269235288\n", + "LinearRegression+ExtraTreesRegressor 0.141278575302\n", + "ExtraTreesRegressor+GradientBoostingRegressor 0.142456173756\n", + "RANSACRegressor+RandomForestRegressor 0.142529450531\n", + "ExtraTreesRegressor+XGBRegressor 0.142661094906\n", + "Lasso+ElasticNet 0.143739306229\n", + "SVR+GradientBoostingRegressor 0.144334394399\n", + "SVR+XGBRegressor 0.144429354811\n", + "Lasso+SVR 0.144839874141\n", + "Ridge+ExtraTreesRegressor 0.145533921197\n", + "TheilSenRegressor+ExtraTreesRegressor 0.145762688821\n", + "ElasticNet+RandomForestRegressor 0.145930647279\n", + "LinearRegression+ElasticNet 0.14714366104\n", + "Ridge+SVR 0.148675979762\n", + "RANSACRegressor+ExtraTreesRegressor 0.149035532702\n", + "LinearRegression+SVR 0.149463974892\n", + "ExtraTreesRegressor+RandomForestRegressor 0.150897032771\n", + "ElasticNet+RANSACRegressor 0.151238088126\n", + "Lasso+DecisionTreeRegressor 0.151435568567\n", + "ElasticNet+ExtraTreesRegressor 0.151484233334\n", + "SVR+RandomForestRegressor 0.151802505259\n", + "Lasso+AdaBoostRegressor 0.152727177296\n", + "Ridge+DecisionTreeRegressor 0.153349579532\n", + "LinearRegression+AdaBoostRegressor 0.153588796404\n", + "SVR+ExtraTreesRegressor 0.153773908357\n", + "TheilSenRegressor+SVR 0.154020790332\n", + "Ridge+ElasticNet 0.154222928805\n", + "HuberRegressor+GradientBoostingRegressor 0.155171883334\n", + "HuberRegressor+XGBRegressor 0.155421011111\n", + "Lasso+Ridge 0.155731170786\n", + "TheilSenRegressor+RANSACRegressor 0.155745389175\n", + "Ridge+TheilSenRegressor 0.156467195378\n", + "ElasticNet+TheilSenRegressor 0.15663707817\n", + "DecisionTreeRegressor+GradientBoostingRegressor 0.156878250168\n", + "Lasso+HuberRegressor 0.156936725358\n", + "DecisionTreeRegressor+XGBRegressor 0.156984998134\n", + "Ridge+HuberRegressor 0.157458812217\n", + "LinearRegression+DecisionTreeRegressor 0.157658699295\n", + "Ridge+AdaBoostRegressor 0.158269919879\n", + "TheilSenRegressor+DecisionTreeRegressor 0.159291493516\n", + "AdaBoostRegressor+GradientBoostingRegressor 0.159476695957\n", + "Ridge+RANSACRegressor 0.159712355716\n", + "TheilSenRegressor+AdaBoostRegressor 0.159890970839\n", + "AdaBoostRegressor+XGBRegressor 0.160207457994\n", + "LinearRegression+TheilSenRegressor 0.160341205153\n", + "RANSACRegressor+SVR 0.160352896285\n", + "LinearRegression+HuberRegressor 0.160413162684\n", + "Lasso+TheilSenRegressor 0.160669786588\n", + "RANSACRegressor+AdaBoostRegressor 0.161124399361\n", + "LinearRegression+Ridge 0.16140737581\n", + "Lasso+RANSACRegressor 0.161466311938\n", + "RANSACRegressor+DecisionTreeRegressor 0.161718787176\n", + "TheilSenRegressor+HuberRegressor 0.162084000758\n", + "ElasticNet+DecisionTreeRegressor 0.162954948425\n", + "ExtraTreeRegressor+GradientBoostingRegressor 0.16391025733\n", + "HuberRegressor+RandomForestRegressor 0.164903671718\n", + "ExtraTreeRegressor+XGBRegressor 0.165114883621\n", + "DecisionTreeRegressor+RandomForestRegressor 0.165273826908\n", + "HuberRegressor+ExtraTreesRegressor 0.165623710284\n", + "Lasso+ExtraTreeRegressor 0.166008878878\n", + "ElasticNet+AdaBoostRegressor 0.166014141401\n", + "LinearRegression+RANSACRegressor 0.166404470152\n", + "Lasso+LinearRegression 0.166758170725\n", + "SVR+DecisionTreeRegressor 0.167077526763\n", + "SVR+AdaBoostRegressor 0.167284448134\n", + "TheilSenRegressor+ExtraTreeRegressor 0.167491407559\n", + "LinearRegression+ExtraTreeRegressor 0.167894255825\n", + "DecisionTreeRegressor+ExtraTreesRegressor 0.167947156153\n", + "Ridge+ExtraTreeRegressor 0.168542361882\n", + "AdaBoostRegressor+RandomForestRegressor 0.168634913239\n", + "RANSACRegressor+ExtraTreeRegressor 0.170671156869\n", + "ExtraTreeRegressor+RandomForestRegressor 0.170815887983\n", + "ElasticNet+SVR 0.171791460365\n", + "ElasticNet+ExtraTreeRegressor 0.172058735931\n", + "AdaBoostRegressor+ExtraTreesRegressor 0.174525027385\n", + "SVR+ExtraTreeRegressor 0.17503544538\n", + "ExtraTreeRegressor+ExtraTreesRegressor 0.176785179871\n", + "ElasticNet+HuberRegressor 0.176930865209\n", + "RANSACRegressor+HuberRegressor 0.177538361764\n", + "HuberRegressor+DecisionTreeRegressor 0.178652706775\n", + "HuberRegressor+AdaBoostRegressor 0.179775917092\n", + "DecisionTreeRegressor+AdaBoostRegressor 0.183158779112\n", + "HuberRegressor+ExtraTreeRegressor 0.184983904469\n", + "DecisionTreeRegressor+ExtraTreeRegressor 0.187241512071\n", + "ExtraTreeRegressor+AdaBoostRegressor 0.188826296636\n", + "HuberRegressor+SVR 0.201144832431\n", + "\n", + "Model Amount : 3\n", + "Lasso+GradientBoostingRegressor+XGBRegressor 0.124979582373\n", + "LinearRegression+GradientBoostingRegressor+XGBRegressor 0.126070603112\n", + "Lasso+GradientBoostingRegressor+RandomForestRegressor 0.127349903462\n", + "Lasso+RandomForestRegressor+XGBRegressor 0.12736301581\n", + "LinearRegression+RandomForestRegressor+XGBRegressor 0.128456964708\n", + "LinearRegression+GradientBoostingRegressor+RandomForestRegressor 0.128460717855\n", + "Ridge+GradientBoostingRegressor+XGBRegressor 0.128869822618\n", + "TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.129256345946\n", + "Ridge+GradientBoostingRegressor+RandomForestRegressor 0.130631927178\n", + "Ridge+RandomForestRegressor+XGBRegressor 0.130822051512\n", + "Lasso+ExtraTreesRegressor+XGBRegressor 0.13101688532\n", + "Lasso+SVR+XGBRegressor 0.131062962077\n", + "Lasso+ExtraTreesRegressor+GradientBoostingRegressor 0.131174046484\n", + "Lasso+ElasticNet+XGBRegressor 0.131352935978\n", + "Lasso+SVR+GradientBoostingRegressor 0.131388980045\n", + "RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.1315453077\n", + "Lasso+ElasticNet+GradientBoostingRegressor 0.131575408013\n", + "TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131601465568\n", + "TheilSenRegressor+RandomForestRegressor+XGBRegressor 0.131921433551\n", + "LinearRegression+ExtraTreesRegressor+XGBRegressor 0.131985026291\n", + "LinearRegression+ExtraTreesRegressor+GradientBoostingRegressor 0.13215564798\n", + "LinearRegression+ElasticNet+XGBRegressor 0.132774799511\n", + "LinearRegression+SVR+XGBRegressor 0.133008105872\n", + "LinearRegression+ElasticNet+GradientBoostingRegressor 0.133033328397\n", + "Lasso+Ridge+XGBRegressor 0.133036107338\n", + "LinearRegression+SVR+GradientBoostingRegressor 0.133345358091\n", + "Lasso+Ridge+GradientBoostingRegressor 0.1334359391\n", + "RANSACRegressor+RandomForestRegressor+XGBRegressor 0.133766941366\n", + "RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.13405755034\n", + "Lasso+ElasticNet+RandomForestRegressor 0.134156709443\n", + "Ridge+SVR+XGBRegressor 0.134177123947\n", + "Ridge+SVR+GradientBoostingRegressor 0.134338876769\n", + "Lasso+LinearRegression+XGBRegressor 0.134593407945\n", + "Lasso+RANSACRegressor+XGBRegressor 0.134604199059\n", + "GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.134718726418\n", + "Lasso+Ridge+RandomForestRegressor 0.134913478165\n", + "Lasso+TheilSenRegressor+XGBRegressor 0.134981602937\n", + "LinearRegression+TheilSenRegressor+XGBRegressor 0.134991516604\n", + "TheilSenRegressor+RANSACRegressor+XGBRegressor 0.135097508357\n", + "Lasso+SVR+RandomForestRegressor 0.135260126413\n", + "TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.135260155044\n", + "Lasso+TheilSenRegressor+GradientBoostingRegressor 0.135276755258\n", + "LinearRegression+TheilSenRegressor+GradientBoostingRegressor 0.135302532504\n", + "Lasso+RANSACRegressor+GradientBoostingRegressor 0.135331812635\n", + "Lasso+LinearRegression+GradientBoostingRegressor 0.135339576936\n", + "TheilSenRegressor+ExtraTreesRegressor+XGBRegressor 0.135351792211\n", + "TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor 0.135374084802\n", + "Ridge+TheilSenRegressor+XGBRegressor 0.135464910981\n", + "LinearRegression+Ridge+XGBRegressor 0.135495837447\n", + "ElasticNet+GradientBoostingRegressor+XGBRegressor 0.13550120494\n", + "Ridge+TheilSenRegressor+GradientBoostingRegressor 0.135514286653\n", + "LinearRegression+ElasticNet+RandomForestRegressor 0.135537848931\n", + "Ridge+ExtraTreesRegressor+GradientBoostingRegressor 0.135610836355\n", + "Ridge+ExtraTreesRegressor+XGBRegressor 0.135654860976\n", + "Lasso+ExtraTreesRegressor+RandomForestRegressor 0.135689633617\n", + "LinearRegression+Ridge+GradientBoostingRegressor 0.13590756415\n", + "SVR+GradientBoostingRegressor+XGBRegressor 0.136090460273\n", + "TheilSenRegressor+SVR+GradientBoostingRegressor 0.136312109027\n", + "TheilSenRegressor+SVR+XGBRegressor 0.136356767408\n", + "ElasticNet+RANSACRegressor+XGBRegressor 0.136363058136\n", + "Lasso+DecisionTreeRegressor+XGBRegressor 0.136548469109\n", + "LinearRegression+RANSACRegressor+XGBRegressor 0.136566486885\n", + "Ridge+RANSACRegressor+XGBRegressor 0.136657772155\n", + "LinearRegression+ExtraTreesRegressor+RandomForestRegressor 0.136679687489\n", + "ElasticNet+RANSACRegressor+GradientBoostingRegressor 0.136739306783\n", + "Lasso+DecisionTreeRegressor+GradientBoostingRegressor 0.136932341872\n", + "Lasso+LinearRegression+RandomForestRegressor 0.136991613268\n", + "ElasticNet+TheilSenRegressor+GradientBoostingRegressor 0.137012393762\n", + "LinearRegression+SVR+RandomForestRegressor 0.137118906089\n", + "Ridge+ElasticNet+XGBRegressor 0.137132141619\n", + "ElasticNet+TheilSenRegressor+XGBRegressor 0.137161630119\n", + "Ridge+RANSACRegressor+GradientBoostingRegressor 0.137188944023\n", + "Ridge+ElasticNet+GradientBoostingRegressor 0.137199716108\n", + "RANSACRegressor+ExtraTreesRegressor+XGBRegressor 0.137222119301\n", + "LinearRegression+TheilSenRegressor+RandomForestRegressor 0.137235232839\n", + "LinearRegression+RANSACRegressor+GradientBoostingRegressor 0.137273661666\n", + "Lasso+TheilSenRegressor+RandomForestRegressor 0.137311561995\n", + "LinearRegression+Ridge+RandomForestRegressor 0.137337422307\n", + "Lasso+SVR+ExtraTreesRegressor 0.137367717867\n", + "ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.137399536713\n", + "Lasso+RANSACRegressor+RandomForestRegressor 0.137454032606\n", + "Ridge+TheilSenRegressor+RandomForestRegressor 0.137455173145\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.137599210446\n", + "Lasso+HuberRegressor+XGBRegressor 0.137614363948\n", + "Lasso+HuberRegressor+GradientBoostingRegressor 0.137757389997\n", + "Ridge+SVR+RandomForestRegressor 0.137870766356\n", + "ElasticNet+GradientBoostingRegressor+RandomForestRegressor 0.137884075568\n", + "Lasso+ElasticNet+ExtraTreesRegressor 0.137892093447\n", + "TheilSenRegressor+RANSACRegressor+RandomForestRegressor 0.13801425231\n", + "ElasticNet+RandomForestRegressor+XGBRegressor 0.138190814378\n", + "Ridge+RANSACRegressor+RandomForestRegressor 0.138638378641\n", + "RANSACRegressor+SVR+XGBRegressor 0.13877987889\n", + "LinearRegression+DecisionTreeRegressor+XGBRegressor 0.138794168796\n", + "Ridge+DecisionTreeRegressor+XGBRegressor 0.138951643956\n", + "LinearRegression+SVR+ExtraTreesRegressor 0.139117820317\n", + "LinearRegression+HuberRegressor+XGBRegressor 0.139151426183\n", + "Ridge+DecisionTreeRegressor+GradientBoostingRegressor 0.139159982897\n", + "LinearRegression+DecisionTreeRegressor+GradientBoostingRegressor 0.139172198546\n", + "LinearRegression+ElasticNet+ExtraTreesRegressor 0.139209828335\n", + "LinearRegression+HuberRegressor+GradientBoostingRegressor 0.139302747191\n", + "RANSACRegressor+SVR+GradientBoostingRegressor 0.139313665543\n", + "Ridge+HuberRegressor+XGBRegressor 0.139328902131\n", + "Ridge+HuberRegressor+GradientBoostingRegressor 0.139333738888\n", + "LinearRegression+RANSACRegressor+RandomForestRegressor 0.139371799073\n", + "Ridge+ElasticNet+RandomForestRegressor 0.139432060261\n", + "ElasticNet+RANSACRegressor+RandomForestRegressor 0.139550770611\n", + "Lasso+AdaBoostRegressor+GradientBoostingRegressor 0.139692172295\n", + "Ridge+ExtraTreesRegressor+RandomForestRegressor 0.139694759406\n", + "SVR+GradientBoostingRegressor+RandomForestRegressor 0.139828688942\n", + "TheilSenRegressor+ExtraTreesRegressor+RandomForestRegressor 0.139903341803\n", + "Lasso+AdaBoostRegressor+XGBRegressor 0.139922584567\n", + "ElasticNet+TheilSenRegressor+RandomForestRegressor 0.139932543852\n", + "SVR+RandomForestRegressor+XGBRegressor 0.139933910337\n", + "LinearRegression+AdaBoostRegressor+GradientBoostingRegressor 0.140014653965\n", + "Lasso+Ridge+ExtraTreesRegressor 0.14020117687\n", + "LinearRegression+AdaBoostRegressor+XGBRegressor 0.140223496345\n", + "TheilSenRegressor+SVR+RandomForestRegressor 0.14032274654\n", + "ElasticNet+ExtraTreesRegressor+GradientBoostingRegressor 0.140785141187\n", + "SVR+ExtraTreesRegressor+XGBRegressor 0.140787361118\n", + "ElasticNet+ExtraTreesRegressor+XGBRegressor 0.140791829286\n", + "Lasso+LinearRegression+ExtraTreesRegressor 0.140862111768\n", + "SVR+ExtraTreesRegressor+GradientBoostingRegressor 0.141037897556\n", + "Ridge+SVR+ExtraTreesRegressor 0.141286440305\n", + "Lasso+RANSACRegressor+ExtraTreesRegressor 0.141291470086\n", + "Lasso+Ridge+SVR 0.141307126411\n", + "TheilSenRegressor+DecisionTreeRegressor+XGBRegressor 0.141338416861\n", + "LinearRegression+TheilSenRegressor+ExtraTreesRegressor 0.141359919585\n", + "TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor 0.1413858281\n", + "Lasso+TheilSenRegressor+ExtraTreesRegressor 0.141494228673\n", + "TheilSenRegressor+HuberRegressor+GradientBoostingRegressor 0.141562512009\n", + "ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.141624498894\n", + "Lasso+DecisionTreeRegressor+RandomForestRegressor 0.141640462871\n", + "TheilSenRegressor+HuberRegressor+XGBRegressor 0.14173771946\n", + "ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.141766669282\n", + 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"LinearRegression+Ridge+RANSACRegressor 0.157499344626\n", + "LinearRegression+HuberRegressor+ExtraTreeRegressor 0.157594479787\n", + "HuberRegressor+ExtraTreeRegressor+GradientBoostingRegressor 0.15771948838\n", + "ElasticNet+SVR+DecisionTreeRegressor 0.15776700485\n", + "RANSACRegressor+HuberRegressor+DecisionTreeRegressor 0.158160680573\n", + "HuberRegressor+ExtraTreeRegressor+XGBRegressor 0.158186097512\n", + "SVR+AdaBoostRegressor+ExtraTreesRegressor 0.158192314009\n", + "ElasticNet+RANSACRegressor+HuberRegressor 0.158338762076\n", + "Lasso+ExtraTreeRegressor+AdaBoostRegressor 0.158473419326\n", + "RANSACRegressor+DecisionTreeRegressor+AdaBoostRegressor 0.15850296886\n", + "ElasticNet+AdaBoostRegressor+ExtraTreesRegressor 0.158555424311\n", + "ElasticNet+ExtraTreeRegressor+ExtraTreesRegressor 0.158689146377\n", + "Lasso+LinearRegression+Ridge 0.158788310878\n", + "LinearRegression+ExtraTreeRegressor+AdaBoostRegressor 0.158815956508\n", + "SVR+ExtraTreeRegressor+ExtraTreesRegressor 0.158850649996\n", + "TheilSenRegressor+DecisionTreeRegressor+ExtraTreeRegressor 0.158903316212\n", + "Lasso+HuberRegressor+SVR 0.159080801283\n", + "Lasso+LinearRegression+TheilSenRegressor 0.15913930934\n", + "TheilSenRegressor+HuberRegressor+ExtraTreeRegressor 0.159340761365\n", + "ElasticNet+SVR+AdaBoostRegressor 0.159544471417\n", + "DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor 0.15965048946\n", + "DecisionTreeRegressor+AdaBoostRegressor+XGBRegressor 0.159749921089\n", + "RANSACRegressor+DecisionTreeRegressor+ExtraTreeRegressor 0.159919617425\n", + "RANSACRegressor+HuberRegressor+AdaBoostRegressor 0.16010841686\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreesRegressor 0.16019769713\n", + "Ridge+HuberRegressor+SVR 0.160317136176\n", + "DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor 0.160463087672\n", + "Lasso+LinearRegression+RANSACRegressor 0.160483625918\n", + "ExtraTreeRegressor+ExtraTreesRegressor+RandomForestRegressor 0.160610332362\n", + "HuberRegressor+DecisionTreeRegressor+RandomForestRegressor 0.160632570736\n", + "DecisionTreeRegressor+ExtraTreeRegressor+XGBRegressor 0.160877048887\n", + "HuberRegressor+SVR+XGBRegressor 0.161181534003\n", + "HuberRegressor+SVR+GradientBoostingRegressor 0.161239771354\n", + "LinearRegression+HuberRegressor+SVR 0.161268521263\n", + "TheilSenRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.161547709854\n", + "ElasticNet+DecisionTreeRegressor+AdaBoostRegressor 0.161615069609\n", + "RANSACRegressor+HuberRegressor+ExtraTreeRegressor 0.161625478929\n", + "AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.16173775264\n", + "SVR+DecisionTreeRegressor+AdaBoostRegressor 0.161750463079\n", + "Ridge+ExtraTreeRegressor+AdaBoostRegressor 0.161799766358\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor 0.162079120529\n", + "RANSACRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.162308262458\n", + "TheilSenRegressor+HuberRegressor+SVR 0.162519927836\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor 0.1626482104\n", + "ElasticNet+SVR+ExtraTreeRegressor 0.1631284164\n", + "ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor 0.163312437177\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor 0.163417582309\n", + "HuberRegressor+ExtraTreeRegressor+RandomForestRegressor 0.163741916903\n", + "HuberRegressor+AdaBoostRegressor+RandomForestRegressor 0.163773887439\n", + "ExtraTreeRegressor+AdaBoostRegressor+XGBRegressor 0.163860876222\n", + "ElasticNet+HuberRegressor+AdaBoostRegressor 0.164599047724\n", + "HuberRegressor+ExtraTreeRegressor+ExtraTreesRegressor 0.16503735735\n", + "HuberRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.165347747977\n", + "SVR+ExtraTreeRegressor+AdaBoostRegressor 0.165989412482\n", + "ElasticNet+ExtraTreeRegressor+AdaBoostRegressor 0.165995361759\n", + "DecisionTreeRegressor+ExtraTreeRegressor+RandomForestRegressor 0.166065257087\n", + "HuberRegressor+SVR+ExtraTreesRegressor 0.166223595423\n", + "DecisionTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.16625913363\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor 0.16666748115\n", + "HuberRegressor+SVR+RandomForestRegressor 0.167248615541\n", + "DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor 0.167921298128\n", + "DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.168696739833\n", + "ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.169176698515\n", + "HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor 0.169328715821\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor 0.169879535648\n", + "HuberRegressor+SVR+DecisionTreeRegressor 0.17172430101\n", + "HuberRegressor+SVR+AdaBoostRegressor 0.172132631452\n", + "RANSACRegressor+HuberRegressor+SVR 0.172162631801\n", + "HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.172729998218\n", + "ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.173025384464\n", + "HuberRegressor+SVR+ExtraTreeRegressor 0.175330532009\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.176100154278\n", + "ElasticNet+HuberRegressor+SVR 0.178558575565\n", + "\n", + "Model Amount : 4\n", + "Lasso+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.126842572869\n", + "LinearRegression+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127430882312\n", + "Lasso+LinearRegression+GradientBoostingRegressor+XGBRegressor 0.127534306838\n", + "Lasso+Ridge+GradientBoostingRegressor+XGBRegressor 0.127715306802\n", + "Lasso+SVR+GradientBoostingRegressor+XGBRegressor 0.127863422257\n", + "Lasso+ElasticNet+GradientBoostingRegressor+XGBRegressor 0.128519203008\n", + "Lasso+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.128580466535\n", + "LinearRegression+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.128623700788\n", + "Lasso+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.128733522112\n", + "Lasso+LinearRegression+RandomForestRegressor+XGBRegressor 0.128896785934\n", + "Lasso+Ridge+RandomForestRegressor+XGBRegressor 0.128907077943\n", + "LinearRegression+SVR+GradientBoostingRegressor+XGBRegressor 0.128914364323\n", + "Lasso+Ridge+GradientBoostingRegressor+RandomForestRegressor 0.128988758634\n", + "LinearRegression+Ridge+GradientBoostingRegressor+XGBRegressor 0.129058076766\n", + "Lasso+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129092510098\n", + "Lasso+LinearRegression+GradientBoostingRegressor+RandomForestRegressor 0.129132461864\n", + "LinearRegression+ElasticNet+GradientBoostingRegressor+XGBRegressor 0.12929462195\n", + "Ridge+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129531479167\n", + "LinearRegression+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129625956438\n", + "TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.129722296025\n", + "LinearRegression+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.129754689213\n", + "Ridge+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.129759303038\n", + "TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12998529459\n", + "Lasso+TheilSenRegressor+RandomForestRegressor+XGBRegressor 0.130166353911\n", + "LinearRegression+TheilSenRegressor+RandomForestRegressor+XGBRegressor 0.130169733677\n", + "Lasso+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor 0.130177217064\n", + "LinearRegression+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor 0.13019076876\n", + "LinearRegression+Ridge+RandomForestRegressor+XGBRegressor 0.130229545438\n", + "Lasso+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.130266810795\n", + "Lasso+ElasticNet+RandomForestRegressor+XGBRegressor 0.130271838409\n", + "Lasso+ElasticNet+GradientBoostingRegressor+RandomForestRegressor 0.130276942946\n", + "LinearRegression+Ridge+GradientBoostingRegressor+RandomForestRegressor 0.130323006694\n", + "Ridge+SVR+GradientBoostingRegressor+XGBRegressor 0.130330417399\n", + "Lasso+SVR+RandomForestRegressor+XGBRegressor 0.130355054836\n", + "Lasso+SVR+GradientBoostingRegressor+RandomForestRegressor 0.130446319925\n", + "Lasso+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.130565382646\n", + "Ridge+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130833799846\n", + "LinearRegression+ElasticNet+RandomForestRegressor+XGBRegressor 0.131017488975\n", + "LinearRegression+ElasticNet+GradientBoostingRegressor+RandomForestRegressor 0.131042337956\n", + "Ridge+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor 0.13111762219\n", + "Lasso+Ridge+SVR+XGBRegressor 0.131207781942\n", + "Ridge+TheilSenRegressor+RandomForestRegressor+XGBRegressor 0.131213573793\n", + "LinearRegression+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.131278390691\n", + "LinearRegression+SVR+RandomForestRegressor+XGBRegressor 0.131367645943\n", + "TheilSenRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.131380100427\n", + "Lasso+LinearRegression+ExtraTreesRegressor+XGBRegressor 0.131416924195\n", + "LinearRegression+SVR+GradientBoostingRegressor+RandomForestRegressor 0.131469787125\n", + "RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131475299394\n", + "Lasso+Ridge+SVR+GradientBoostingRegressor 0.131505413944\n", + "TheilSenRegressor+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.131549062234\n", + "LinearRegression+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131575745142\n", + "Lasso+SVR+ExtraTreesRegressor+XGBRegressor 0.131583567417\n", + "TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131626064317\n", + "Lasso+LinearRegression+ExtraTreesRegressor+GradientBoostingRegressor 0.131732770836\n", + "Lasso+SVR+ExtraTreesRegressor+GradientBoostingRegressor 0.131840102423\n", + "Lasso+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.131920902716\n", + "Lasso+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.131949296703\n", + "Lasso+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131978148772\n", + "Lasso+LinearRegression+SVR+XGBRegressor 0.132004195002\n", + "Ridge+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.132006136938\n", + "TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132119541518\n", + "ElasticNet+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.132167395997\n", + "Ridge+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.132198429338\n", + "Lasso+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.132215382118\n", + "Lasso+Ridge+ExtraTreesRegressor+XGBRegressor 0.132237131032\n", + "ElasticNet+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.132319163715\n", + "Lasso+Ridge+ExtraTreesRegressor+GradientBoostingRegressor 0.132392989087\n", + "Ridge+ElasticNet+GradientBoostingRegressor+XGBRegressor 0.132446418142\n", + "Lasso+LinearRegression+SVR+GradientBoostingRegressor 0.132458675738\n", + "Lasso+ElasticNet+ExtraTreesRegressor+XGBRegressor 0.132484699453\n", + "LinearRegression+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.132486638672\n", + "Ridge+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132490979828\n", + "LinearRegression+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.132525245944\n", + "LinearRegression+SVR+ExtraTreesRegressor+XGBRegressor 0.132549605813\n", + "Ridge+SVR+RandomForestRegressor+XGBRegressor 0.132604954593\n", + "Ridge+SVR+GradientBoostingRegressor+RandomForestRegressor 0.132612756012\n", + "Lasso+ElasticNet+ExtraTreesRegressor+GradientBoostingRegressor 0.132630476184\n", + "LinearRegression+TheilSenRegressor+ExtraTreesRegressor+XGBRegressor 0.132734197967\n", + "Lasso+TheilSenRegressor+ExtraTreesRegressor+XGBRegressor 0.132763732351\n", + "Lasso+RANSACRegressor+ExtraTreesRegressor+XGBRegressor 0.132769202082\n", + "LinearRegression+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.132774391851\n", + "LinearRegression+SVR+ExtraTreesRegressor+GradientBoostingRegressor 0.132815014586\n", + "LinearRegression+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.132866163842\n", + "Lasso+LinearRegression+ElasticNet+XGBRegressor 0.132867552575\n", + "Lasso+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.132886375944\n", + "Lasso+ElasticNet+RANSACRegressor+XGBRegressor 0.132967144019\n", + "RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.133055567739\n", + "Lasso+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.133111810514\n", + "LinearRegression+Ridge+SVR+XGBRegressor 0.133151908942\n", + "Lasso+RANSACRegressor+SVR+XGBRegressor 0.133185385378\n", + "LinearRegression+ElasticNet+ExtraTreesRegressor+XGBRegressor 0.133201007036\n", + "Lasso+TheilSenRegressor+SVR+XGBRegressor 0.133281767219\n", + "Lasso+LinearRegression+ElasticNet+GradientBoostingRegressor 0.133299340474\n", + "Lasso+ElasticNet+RANSACRegressor+GradientBoostingRegressor 0.133335878004\n", + "LinearRegression+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.133354471894\n", + "LinearRegression+ElasticNet+ExtraTreesRegressor+GradientBoostingRegressor 0.133364988902\n", + "Lasso+Ridge+DecisionTreeRegressor+XGBRegressor 0.133375164592\n", + "LinearRegression+Ridge+SVR+GradientBoostingRegressor 0.133459376129\n", + "Lasso+TheilSenRegressor+SVR+GradientBoostingRegressor 0.133489641034\n", + "LinearRegression+Ridge+ExtraTreesRegressor+XGBRegressor 0.133496382826\n", + "Lasso+Ridge+SVR+RandomForestRegressor 0.133572449587\n", + "LinearRegression+TheilSenRegressor+SVR+XGBRegressor 0.133578971887\n", + "Ridge+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.133625413269\n", + "Lasso+RANSACRegressor+SVR+GradientBoostingRegressor 0.133626495161\n", + "RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.133631710503\n", + "LinearRegression+Ridge+ExtraTreesRegressor+GradientBoostingRegressor 0.133662758442\n", + "Lasso+Ridge+ElasticNet+XGBRegressor 0.133673007237\n", + "LinearRegression+RANSACRegressor+ExtraTreesRegressor+XGBRegressor 0.133697680785\n", + "Lasso+Ridge+DecisionTreeRegressor+GradientBoostingRegressor 0.133729042215\n", + "LinearRegression+TheilSenRegressor+SVR+GradientBoostingRegressor 0.133796624003\n", + "TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.133871141771\n", + "Ridge+ElasticNet+GradientBoostingRegressor+RandomForestRegressor 0.133902983575\n", + "ElasticNet+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor 0.133910464866\n", + "Ridge+TheilSenRegressor+SVR+XGBRegressor 0.133915318338\n", + "Lasso+Ridge+ElasticNet+GradientBoostingRegressor 0.133930729294\n", + "TheilSenRegressor+SVR+RandomForestRegressor+XGBRegressor 0.133967224933\n", + "Ridge+ElasticNet+RandomForestRegressor+XGBRegressor 0.133975315175\n", + "Ridge+TheilSenRegressor+SVR+GradientBoostingRegressor 0.134014001425\n", + "LinearRegression+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.134037945383\n", + "TheilSenRegressor+RANSACRegressor+ExtraTreesRegressor+XGBRegressor 0.1340661869\n", + "LinearRegression+ElasticNet+RANSACRegressor+XGBRegressor 0.134080753717\n", + "ElasticNet+TheilSenRegressor+RandomForestRegressor+XGBRegressor 0.134092082604\n", + "ElasticNet+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.134163357974\n", + "Lasso+SVR+DecisionTreeRegressor+XGBRegressor 0.134210470208\n", + "TheilSenRegressor+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.134215479686\n", + "ElasticNet+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.134290784032\n", + "Ridge+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.134311716547\n", + "Lasso+LinearRegression+ExtraTreesRegressor+RandomForestRegressor 0.134371137824\n", + "LinearRegression+ElasticNet+TheilSenRegressor+XGBRegressor 0.134392845755\n", + "LinearRegression+ElasticNet+RANSACRegressor+GradientBoostingRegressor 0.134451785116\n", + "Lasso+LinearRegression+DecisionTreeRegressor+XGBRegressor 0.134466446316\n", + "TheilSenRegressor+RANSACRegressor+SVR+XGBRegressor 0.13447420718\n", + "Ridge+TheilSenRegressor+ExtraTreesRegressor+XGBRegressor 0.134486216114\n", + "Ridge+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.13448980694\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+XGBRegressor 0.134537977743\n", + "Lasso+SVR+DecisionTreeRegressor+GradientBoostingRegressor 0.13453908911\n", + "LinearRegression+ElasticNet+TheilSenRegressor+GradientBoostingRegressor 0.134584519571\n", + "Lasso+LinearRegression+SVR+RandomForestRegressor 0.134602180387\n", + "Lasso+ElasticNet+TheilSenRegressor+XGBRegressor 0.134619940118\n", + "Ridge+SVR+ExtraTreesRegressor+XGBRegressor 0.13462614211\n", + "Lasso+LinearRegression+ElasticNet+RandomForestRegressor 0.13465825274\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor 0.134658916039\n", + "TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor 0.134669310927\n", + "LinearRegression+RANSACRegressor+SVR+XGBRegressor 0.134697309486\n", + "Ridge+SVR+ExtraTreesRegressor+GradientBoostingRegressor 0.134777230569\n", + "Lasso+ElasticNet+TheilSenRegressor+GradientBoostingRegressor 0.134792296313\n", + "Lasso+ElasticNet+DecisionTreeRegressor+XGBRegressor 0.134804404167\n", + "Ridge+RANSACRegressor+SVR+XGBRegressor 0.13481555527\n", + "Lasso+Ridge+ExtraTreesRegressor+RandomForestRegressor 0.134868378791\n", + "Lasso+Ridge+HuberRegressor+XGBRegressor 0.134908179198\n", + "TheilSenRegressor+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.134949027872\n", + "TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.134965414086\n", + "Lasso+LinearRegression+DecisionTreeRegressor+GradientBoostingRegressor 0.134969333736\n", + "Ridge+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.135017436539\n", + "Lasso+ElasticNet+DecisionTreeRegressor+GradientBoostingRegressor 0.135044290429\n", + "TheilSenRegressor+SVR+ExtraTreesRegressor+XGBRegressor 0.135054936633\n", + "TheilSenRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.135072762016\n", + "Lasso+Ridge+HuberRegressor+GradientBoostingRegressor 0.135083425385\n", + "Ridge+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.135091709665\n", + "LinearRegression+RANSACRegressor+SVR+GradientBoostingRegressor 0.135131131528\n", + "Lasso+ElasticNet+RANSACRegressor+RandomForestRegressor 0.135146972283\n", + "TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor 0.13515083401\n", + "Ridge+RANSACRegressor+SVR+GradientBoostingRegressor 0.135161206436\n", + "Lasso+RANSACRegressor+DecisionTreeRegressor+XGBRegressor 0.135162829933\n", + "Lasso+AdaBoostRegressor+GradientBoostingRegressor+XGBRegressor 0.135167572516\n", + "Ridge+RANSACRegressor+ExtraTreesRegressor+XGBRegressor 0.135195404555\n", + "Lasso+Ridge+ElasticNet+RandomForestRegressor 0.135213997108\n", + "Lasso+HuberRegressor+RandomForestRegressor+XGBRegressor 0.135216460546\n", + "Lasso+HuberRegressor+GradientBoostingRegressor+RandomForestRegressor 0.135219331734\n", + "Lasso+DecisionTreeRegressor+RandomForestRegressor+XGBRegressor 0.135228037048\n", + "ElasticNet+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13526549011\n", + "LinearRegression+Ridge+DecisionTreeRegressor+XGBRegressor 0.13528215184\n", + "LinearRegression+AdaBoostRegressor+GradientBoostingRegressor+XGBRegressor 0.135318236202\n", + "Lasso+TheilSenRegressor+DecisionTreeRegressor+XGBRegressor 0.135369238089\n", + "Lasso+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor 0.135374404988\n", + "LinearRegression+Ridge+ElasticNet+XGBRegressor 0.135405673323\n", + "Ridge+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.135428019664\n", + "LinearRegression+Ridge+SVR+RandomForestRegressor 0.135453724449\n", + "TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.135488520225\n", + "Lasso+LinearRegression+AdaBoostRegressor+XGBRegressor 0.135499419831\n", + "Lasso+LinearRegression+AdaBoostRegressor+GradientBoostingRegressor 0.135534271398\n", + "Lasso+SVR+ExtraTreesRegressor+RandomForestRegressor 0.135544579308\n", + "RANSACRegressor+SVR+RandomForestRegressor+XGBRegressor 0.135611688911\n", + "LinearRegression+TheilSenRegressor+ExtraTreesRegressor+RandomForestRegressor 0.135622890435\n", + "LinearRegression+Ridge+DecisionTreeRegressor+GradientBoostingRegressor 0.135635228035\n", + "Lasso+ElasticNet+ExtraTreesRegressor+RandomForestRegressor 0.135636554923\n", + "Lasso+TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor 0.135641948639\n", + "Lasso+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor 0.135665620716\n", + "Lasso+TheilSenRegressor+ExtraTreesRegressor+RandomForestRegressor 0.135671229567\n", + "LinearRegression+Ridge+ElasticNet+GradientBoostingRegressor 0.135686721865\n", + "Ridge+ElasticNet+RANSACRegressor+XGBRegressor 0.135783918754\n", + "SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.135790181812\n", + "Lasso+TheilSenRegressor+SVR+RandomForestRegressor 0.135832059104\n", + "RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.135840344575\n", + "Ridge+SVR+DecisionTreeRegressor+XGBRegressor 0.135877161949\n", + "Ridge+TheilSenRegressor+DecisionTreeRegressor+XGBRegressor 0.13589116369\n", + "LinearRegression+SVR+DecisionTreeRegressor+XGBRegressor 0.135892463782\n", + "LinearRegression+TheilSenRegressor+DecisionTreeRegressor+XGBRegressor 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"ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor 0.159101229532\n", + "RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor 0.159186365721\n", + "SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.159644514088\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+RandomForestRegressor 0.159713595828\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor 0.159870227935\n", + "ElasticNet+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.160248601007\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor 0.160482748109\n", + "DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.160558318778\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreesRegressor 0.16058399318\n", + "HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.160638500739\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+XGBRegressor 0.160687336289\n", + "HuberRegressor+SVR+AdaBoostRegressor+RandomForestRegressor 0.160912631099\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.160993987054\n", + "ElasticNet+HuberRegressor+SVR+RandomForestRegressor 0.161105291149\n", + "HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor 0.161240549939\n", + "HuberRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor 0.161265057845\n", + "HuberRegressor+SVR+ExtraTreeRegressor+RandomForestRegressor 0.161300043565\n", + "HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.161304045547\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.161350873097\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR 0.161671031691\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.162015583402\n", + "HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.162759772745\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor 0.162994718234\n", + "HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor 0.163043070457\n", + "ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.1632329786\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor 0.16371773448\n", + "ElasticNet+HuberRegressor+SVR+AdaBoostRegressor 0.164280771655\n", + "HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.164317579818\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.165264011775\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor 0.165729677747\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.165981317969\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor 0.16613644967\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.167202943671\n", + "\n", + "Model Amount : 5\n", + "Lasso+LinearRegression+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.126491410988\n", + "Lasso+Ridge+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127066224745\n", + "Lasso+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127754407536\n", + "Lasso+LinearRegression+SVR+GradientBoostingRegressor+XGBRegressor 0.127759238795\n", + "LinearRegression+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127774882914\n", + "Lasso+Ridge+SVR+GradientBoostingRegressor+XGBRegressor 0.127827254158\n", + "LinearRegression+Ridge+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127893921197\n", + "Lasso+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128068400055\n", + "Lasso+LinearRegression+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.128273155131\n", + "Lasso+LinearRegression+ElasticNet+GradientBoostingRegressor+XGBRegressor 0.128635730482\n", + "LinearRegression+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128683062887\n", + "Lasso+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128744503621\n", + "Ridge+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128934051405\n", + "Lasso+TheilSenRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.128999865946\n", + "Lasso+ElasticNet+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12900717217\n", + "LinearRegression+Ridge+SVR+GradientBoostingRegressor+XGBRegressor 0.129026664539\n", + "Lasso+RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.129190495603\n", + "LinearRegression+TheilSenRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.129230528599\n", + "TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129279484079\n", + "Lasso+Ridge+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.12937224753\n", + "Lasso+Ridge+SVR+RandomForestRegressor+XGBRegressor 0.12937232061\n", + "LinearRegression+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129379950822\n", + "Lasso+ElasticNet+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.129388787253\n", + "Lasso+LinearRegression+SVR+RandomForestRegressor+XGBRegressor 0.129390799847\n", + "LinearRegression+ElasticNet+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129478157123\n", + "Lasso+Ridge+SVR+GradientBoostingRegressor+RandomForestRegressor 0.129487774185\n", + "Lasso+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129564040746\n", + "LinearRegression+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129564166372\n", + "Lasso+LinearRegression+SVR+GradientBoostingRegressor+RandomForestRegressor 0.129592254507\n", + "Lasso+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129628210218\n", + "Ridge+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129725507909\n", + "Lasso+Ridge+ElasticNet+GradientBoostingRegressor+XGBRegressor 0.129746913872\n", + "Lasso+LinearRegression+ElasticNet+RandomForestRegressor+XGBRegressor 0.129767635838\n", + "Lasso+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129828476189\n", + "Ridge+TheilSenRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.129927676594\n", + "Lasso+LinearRegression+ElasticNet+GradientBoostingRegressor+RandomForestRegressor 0.129931820634\n", + "Lasso+Ridge+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130021720248\n", + "Lasso+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130044975279\n", + "LinearRegression+ElasticNet+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.130069495807\n", + "LinearRegression+ElasticNet+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130078888333\n", + "LinearRegression+RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.130112328757\n", + "Lasso+ElasticNet+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.130117721882\n", + "Lasso+LinearRegression+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130131459286\n", + "LinearRegression+Ridge+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130166965\n", + "Lasso+LinearRegression+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.130200640092\n", + "LinearRegression+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130238238668\n", + "Lasso+LinearRegression+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.130339935629\n", + "LinearRegression+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130365059354\n", + "LinearRegression+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130399367255\n", + "Lasso+Ridge+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.130412542832\n", + "TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.130426730774\n", + "Lasso+Ridge+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130473913303\n", + "Lasso+ElasticNet+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130533005311\n", + "LinearRegression+Ridge+SVR+RandomForestRegressor+XGBRegressor 0.130536561883\n", + "Lasso+LinearRegression+SVR+ExtraTreesRegressor+XGBRegressor 0.130543870227\n", + "Lasso+Ridge+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.130547300036\n", + "Lasso+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130548370687\n", + "Lasso+LinearRegression+Ridge+GradientBoostingRegressor+XGBRegressor 0.130588031229\n", + "Ridge+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130634389898\n", + "Lasso+LinearRegression+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.130648395012\n", + "Lasso+LinearRegression+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130655062254\n", + "LinearRegression+Ridge+SVR+GradientBoostingRegressor+RandomForestRegressor 0.130660560351\n", + "Lasso+LinearRegression+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.130711736556\n", + "Lasso+ElasticNet+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.130733517646\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130748901204\n", + "Ridge+RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.130755729385\n", + "Lasso+TheilSenRegressor+SVR+RandomForestRegressor+XGBRegressor 0.130757863406\n", + "Ridge+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130770707727\n", + "Lasso+Ridge+ElasticNet+RandomForestRegressor+XGBRegressor 0.130788933032\n", + "LinearRegression+Ridge+ElasticNet+GradientBoostingRegressor+XGBRegressor 0.130803685706\n", + "Lasso+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.130814160737\n", + "Lasso+LinearRegression+SVR+ExtraTreesRegressor+GradientBoostingRegressor 0.130834862931\n", + "Lasso+Ridge+ElasticNet+GradientBoostingRegressor+RandomForestRegressor 0.130862006387\n", + "LinearRegression+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130887229515\n", + "Lasso+ElasticNet+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.130908603981\n", + "LinearRegression+TheilSenRegressor+SVR+RandomForestRegressor+XGBRegressor 0.130948533318\n", + "LinearRegression+ElasticNet+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130987039594\n", + "LinearRegression+Ridge+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.131004338308\n", + "Lasso+RANSACRegressor+SVR+RandomForestRegressor+XGBRegressor 0.131007441333\n", + "LinearRegression+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.131012148841\n", + "TheilSenRegressor+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131036146465\n", + "Lasso+Ridge+SVR+ExtraTreesRegressor+XGBRegressor 0.131079570426\n", + "Lasso+Ridge+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.131171404419\n", + "Lasso+TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.13117663366\n", + "LinearRegression+Ridge+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.131186050441\n", + "Ridge+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.13119957634\n", + "Lasso+Ridge+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131219883253\n", + "Lasso+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.131237970407\n", + "Lasso+Ridge+SVR+ExtraTreesRegressor+GradientBoostingRegressor 0.13127677331\n", + "Lasso+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.131287285602\n", + "Lasso+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.131290601206\n", + "Lasso+Ridge+SVR+DecisionTreeRegressor+XGBRegressor 0.131297571228\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RandomForestRegressor+XGBRegressor 0.131318947608\n", + "Lasso+LinearRegression+Ridge+RandomForestRegressor+XGBRegressor 0.131324669703\n", + "Lasso+TheilSenRegressor+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.131335213516\n", + "LinearRegression+ElasticNet+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131344432628\n", + "Lasso+Ridge+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.131364173668\n", + "LinearRegression+ElasticNet+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.1314021506\n", + "Lasso+ElasticNet+TheilSenRegressor+RandomForestRegressor+XGBRegressor 0.131410581261\n", + "TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131418767522\n", + "LinearRegression+Ridge+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.131423839689\n", + "Lasso+ElasticNet+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131424581912\n", + "Lasso+Ridge+TheilSenRegressor+RandomForestRegressor+XGBRegressor 0.131480131608\n", + "Lasso+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131480830942\n", + "LinearRegression+TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.131503437113\n", + "LinearRegression+Ridge+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.131529371571\n", + "Lasso+LinearRegression+Ridge+GradientBoostingRegressor+RandomForestRegressor 0.13153705424\n", + "Lasso+LinearRegression+ElasticNet+ExtraTreesRegressor+XGBRegressor 0.131544681506\n", + "Lasso+Ridge+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131550704789\n", + "LinearRegression+TheilSenRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.131578449325\n", + "LinearRegression+ElasticNet+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131581930559\n", + "Lasso+Ridge+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131585945233\n", + "Lasso+Ridge+SVR+DecisionTreeRegressor+GradientBoostingRegressor 0.131592698057\n", + "Lasso+TheilSenRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.131592857621\n", + "Ridge+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.131593085389\n", + "Ridge+TheilSenRegressor+SVR+RandomForestRegressor+XGBRegressor 0.131595933429\n", + "LinearRegression+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131607305049\n", + "Lasso+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131615145155\n", + "LinearRegression+TheilSenRegressor+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.131628065066\n", + "Lasso+LinearRegression+AdaBoostRegressor+GradientBoostingRegressor+XGBRegressor 0.131652977183\n", + "Lasso+LinearRegression+TheilSenRegressor+RandomForestRegressor+XGBRegressor 0.131670281072\n", + "Lasso+TheilSenRegressor+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.131722275021\n", + "Lasso+LinearRegression+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.131738455591\n", + "Ridge+ElasticNet+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.131755648378\n", + "ElasticNet+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131757927371\n", + "LinearRegression+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131775475423\n", + "Lasso+LinearRegression+ElasticNet+ExtraTreesRegressor+GradientBoostingRegressor 0.131785580921\n", + "Ridge+ElasticNet+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131815084566\n", + "LinearRegression+Ridge+ElasticNet+RandomForestRegressor+XGBRegressor 0.131817666486\n", + "Lasso+LinearRegression+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131838373415\n", + "Lasso+RANSACRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.131853001324\n", + "Ridge+TheilSenRegressor+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.131897136366\n", + "LinearRegression+RANSACRegressor+SVR+RandomForestRegressor+XGBRegressor 0.131900016695\n", + "LinearRegression+Ridge+TheilSenRegressor+RandomForestRegressor+XGBRegressor 0.131902695049\n", + "Ridge+ElasticNet+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.131903344099\n", + "LinearRegression+Ridge+ElasticNet+GradientBoostingRegressor+RandomForestRegressor 0.131905101685\n", + "Lasso+TheilSenRegressor+SVR+ExtraTreesRegressor+XGBRegressor 0.131915807709\n", + "LinearRegression+TheilSenRegressor+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.131928982534\n", + "Ridge+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131944939936\n", + "LinearRegression+Ridge+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.131954866935\n", + "Lasso+Ridge+DecisionTreeRegressor+RandomForestRegressor+XGBRegressor 0.131957301836\n", + "Ridge+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131979614846\n", + "LinearRegression+Ridge+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131980886443\n", + "Lasso+ElasticNet+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.131982680762\n", + "Ridge+TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.132010176735\n", + "LinearRegression+Ridge+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.132011199092\n", + "Lasso+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.132032448287\n", + "Ridge+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132037937865\n", + "Lasso+LinearRegression+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.13204337302\n", + "Lasso+LinearRegression+SVR+DecisionTreeRegressor+XGBRegressor 0.132046157378\n", + "Lasso+HuberRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132076473977\n", + "Lasso+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor 0.132077862508\n", + "LinearRegression+TheilSenRegressor+SVR+ExtraTreesRegressor+XGBRegressor 0.132090351031\n", + "Lasso+ElasticNet+SVR+GradientBoostingRegressor+XGBRegressor 0.132110699962\n", + "ElasticNet+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132112885467\n", + "Lasso+Ridge+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor 0.132117990717\n", + "LinearRegression+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.132130943992\n", + "Lasso+RANSACRegressor+SVR+ExtraTreesRegressor+XGBRegressor 0.132160630245\n", + "Lasso+LinearRegression+DecisionTreeRegressor+RandomForestRegressor+XGBRegressor 0.132184404636\n", + "Lasso+SVR+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.132205279782\n", + "LinearRegression+Ridge+SVR+ExtraTreesRegressor+XGBRegressor 0.132217050921\n", + "TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132217092539\n", + "Ridge+TheilSenRegressor+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.132234500336\n", + "LinearRegression+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor 0.132259160347\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.132261649307\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.132293542418\n", + "LinearRegression+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.132295378266\n", + "Lasso+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.132324962217\n", 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"TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.13245925239\n", + "Lasso+ElasticNet+RANSACRegressor+ExtraTreesRegressor+XGBRegressor 0.13248320711\n", + "Lasso+Ridge+HuberRegressor+RandomForestRegressor+XGBRegressor 0.132526972161\n", + "Ridge+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.132544493351\n", + "Lasso+Ridge+HuberRegressor+GradientBoostingRegressor+RandomForestRegressor 0.132574701371\n", + "LinearRegression+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.132600683461\n", + "LinearRegression+HuberRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132609392246\n", + "LinearRegression+Ridge+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor 0.132626311966\n", + "TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.132626513219\n", + 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"HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.154558372217\n", + "ElasticNet+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.154628133522\n", + "TheilSenRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.154655997018\n", + "HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.154690375187\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.154795820137\n", + "HuberRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+RandomForestRegressor 0.154807209477\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor 0.1548120942\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor 0.154815446283\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+RandomForestRegressor 0.154822444694\n", + "RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.154868548287\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+RandomForestRegressor 0.154894461158\n", + "SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.154930145925\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+XGBRegressor 0.154932391714\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.154984249748\n", + "RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor 0.155175198205\n", + "RANSACRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.155223919763\n", + "ElasticNet+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.155263132311\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.155567343343\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor 0.155634113085\n", + "HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.155676015052\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.155717038386\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+XGBRegressor 0.155727904088\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.15595610911\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor 0.156111994086\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.156118561539\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.156284417879\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+RandomForestRegressor 0.156546743788\n", + "HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.156576249708\n", + "ElasticNet+HuberRegressor+SVR+AdaBoostRegressor+RandomForestRegressor 0.156807793856\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.156903420377\n", + "HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.156983426316\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.156989487644\n", + "HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.157001314908\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+RandomForestRegressor 0.157025479919\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor 0.157026930793\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.15708573351\n", + "ElasticNet+HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor 0.157112649085\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.157430013906\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.157538367522\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor 0.157758314304\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.158017078608\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor 0.158134873874\n", + "HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.15863691371\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.15885126279\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.159487024896\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.15987085312\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor 0.160154669137\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.160226779739\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.160646646673\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.160871368032\n", + "\n", + "Model Amount : 6\n", + "Lasso+LinearRegression+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127371402793\n", + "Lasso+Ridge+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127721759178\n", + "Lasso+LinearRegression+ElasticNet+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127861476483\n", + "Lasso+LinearRegression+Ridge+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128143488738\n", + "Lasso+LinearRegression+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.128256805558\n", + "Lasso+LinearRegression+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128327069923\n", + "Lasso+LinearRegression+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12847255068\n", + "LinearRegression+Ridge+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12851181326\n", + "Lasso+LinearRegression+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12851892378\n", + "Lasso+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128545119097\n", + "Lasso+Ridge+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128577553274\n", + "Lasso+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128598434351\n", + "Lasso+Ridge+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128650767908\n", + "LinearRegression+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128741829139\n", + "LinearRegression+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128751913096\n", + "LinearRegression+Ridge+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128882694953\n", + "Lasso+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128935022145\n", + "Lasso+Ridge+ElasticNet+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128937105842\n", + "Lasso+ElasticNet+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128977506999\n", + "Lasso+Ridge+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.128995105057\n", + "Lasso+Ridge+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.129096694129\n", + "Lasso+LinearRegression+Ridge+SVR+GradientBoostingRegressor+XGBRegressor 0.129159982646\n", + "Lasso+LinearRegression+ElasticNet+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129190096045\n", + "LinearRegression+ElasticNet+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129230829787\n", + "Lasso+LinearRegression+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.129236432577\n", + "Lasso+ElasticNet+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129249826764\n", + "Ridge+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129318754128\n", + "LinearRegression+Ridge+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129358477635\n", + "LinearRegression+ElasticNet+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129433496811\n", + "Lasso+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129480244112\n", + "Lasso+Ridge+RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.129491091578\n", + "Ridge+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129518347531\n", + "Lasso+Ridge+TheilSenRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.129536823906\n", + "LinearRegression+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12953687709\n", + "Lasso+Ridge+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129557671271\n", + "Lasso+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.129559033942\n", + "Lasso+LinearRegression+RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.129619688634\n", + "LinearRegression+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129622499716\n", + "LinearRegression+Ridge+ElasticNet+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129630265028\n", + "Lasso+LinearRegression+TheilSenRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.129640816652\n", + "Lasso+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129766919891\n", + "LinearRegression+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129766980958\n", + "LinearRegression+Ridge+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129768854565\n", + "Lasso+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129816566235\n", + "Lasso+LinearRegression+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129828468789\n", + "Lasso+LinearRegression+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129843033551\n", + "Lasso+LinearRegression+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129883994942\n", + "LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.129921536845\n", + "Lasso+LinearRegression+HuberRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129928286123\n", + "Lasso+LinearRegression+Ridge+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129958834483\n", + "Lasso+TheilSenRegressor+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130019237024\n", + "Lasso+LinearRegression+ElasticNet+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130020051543\n", + "LinearRegression+Ridge+TheilSenRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.130035065586\n", + "Lasso+LinearRegression+ElasticNet+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130050926818\n", + "Lasso+Ridge+HuberRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130056408648\n", + "Lasso+Ridge+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130058008917\n", + "LinearRegression+Ridge+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130096458254\n", + "Lasso+LinearRegression+SVR+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.13011932158\n", + "Lasso+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130124236757\n", + "LinearRegression+Ridge+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.1301374406\n", + "TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130154974458\n", + "LinearRegression+TheilSenRegressor+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130194553446\n", + "Lasso+ElasticNet+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130196885896\n", + "Ridge+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.130200640792\n", + "Lasso+LinearRegression+Ridge+SVR+RandomForestRegressor+XGBRegressor 0.130218456467\n", + "Ridge+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130230980829\n", + "Lasso+LinearRegression+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.130279107286\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130281092908\n", + "Lasso+ElasticNet+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130284911784\n", + "Lasso+LinearRegression+Ridge+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130296880918\n", + "Lasso+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130327180939\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130352963516\n", + "LinearRegression+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130394236497\n", + "Lasso+LinearRegression+Ridge+SVR+GradientBoostingRegressor+RandomForestRegressor 0.130401543646\n", + "Lasso+LinearRegression+ElasticNet+SVR+GradientBoostingRegressor+XGBRegressor 0.130415662272\n", + "Lasso+Ridge+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130424691017\n", + "Lasso+Ridge+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130434108815\n", + "LinearRegression+Ridge+RANSACRegressor+SVR+GradientBoostingRegressor+XGBRegressor 0.130445624378\n", + "Lasso+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130500324803\n", + "LinearRegression+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130506909711\n", + "LinearRegression+ElasticNet+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130542404427\n", + "Lasso+Ridge+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130542531787\n", + "Lasso+ElasticNet+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130565014267\n", + "Lasso+Ridge+TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130606632312\n", + "Lasso+Ridge+ElasticNet+RANSACRegressor+GradientBoostingRegressor+XGBRegressor 0.130623348647\n", + "Lasso+Ridge+ElasticNet+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130623550796\n", + "Lasso+Ridge+ElasticNet+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130627714062\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+GradientBoostingRegressor+XGBRegressor 0.130664779506\n", + "Lasso+LinearRegression+HuberRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130685927516\n", + "Lasso+Ridge+RANSACRegressor+SVR+RandomForestRegressor+XGBRegressor 0.130704432324\n", + "LinearRegression+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130704488164\n", + "Lasso+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130709732051\n", + "LinearRegression+Ridge+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130716431754\n", + "Lasso+LinearRegression+ElasticNet+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.130716857542\n", + "Lasso+Ridge+TheilSenRegressor+SVR+RandomForestRegressor+XGBRegressor 0.130719014284\n", + "LinearRegression+ElasticNet+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130721232534\n", + "LinearRegression+Ridge+HuberRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130737712477\n", + "Lasso+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130747113672\n", + "Ridge+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130751592722\n", + "Lasso+LinearRegression+SVR+AdaBoostRegressor+GradientBoostingRegressor+XGBRegressor 0.130762568821\n", + "Ridge+ElasticNet+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130773311139\n", + "Lasso+Ridge+SVR+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.130780632452\n", + "Lasso+LinearRegression+TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130790960919\n", + "Lasso+LinearRegression+Ridge+ElasticNet+GradientBoostingRegressor+XGBRegressor 0.130792389864\n", + "Lasso+Ridge+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.130803623573\n", + "Lasso+LinearRegression+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130806368651\n", + "LinearRegression+Ridge+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130825062826\n", + "Lasso+LinearRegression+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130825913574\n", + "Lasso+LinearRegression+ElasticNet+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.13083548807\n", + "Ridge+ElasticNet+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13083905497\n", + "Lasso+LinearRegression+TheilSenRegressor+SVR+RandomForestRegressor+XGBRegressor 0.130840802545\n", + "Lasso+ElasticNet+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130849466193\n", + "Lasso+Ridge+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.130881124708\n", + "Lasso+Ridge+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.130888632856\n", + "Lasso+LinearRegression+RANSACRegressor+SVR+RandomForestRegressor+XGBRegressor 0.130940219492\n", + "Lasso+TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130941219097\n", + "Lasso+LinearRegression+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.130985988385\n", + "Lasso+Ridge+SVR+DecisionTreeRegressor+RandomForestRegressor+XGBRegressor 0.130991244391\n", + "Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.131002275769\n", + "Lasso+TheilSenRegressor+RANSACRegressor+SVR+RandomForestRegressor+XGBRegressor 0.131004129449\n", + "TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131016004401\n", + "Lasso+LinearRegression+ElasticNet+RANSACRegressor+RandomForestRegressor+XGBRegressor 0.131039745763\n", + "Lasso+TheilSenRegressor+HuberRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131039759696\n", + "LinearRegression+Ridge+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131113476808\n", + "Ridge+TheilSenRegressor+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131113956844\n", + "Lasso+LinearRegression+Ridge+HuberRegressor+GradientBoostingRegressor+XGBRegressor 0.131114371627\n", + "LinearRegression+Ridge+TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.131117221886\n", + "Lasso+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.131131750074\n", + "LinearRegression+TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131149283358\n", + "Lasso+Ridge+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131153584394\n", + "LinearRegression+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13115696252\n", + "LinearRegression+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.131162503452\n", + "Ridge+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131168092747\n", + "LinearRegression+TheilSenRegressor+HuberRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131176531841\n", + "Lasso+LinearRegression+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor 0.13117653191\n", + "LinearRegression+Ridge+TheilSenRegressor+SVR+RandomForestRegressor+XGBRegressor 0.131184175344\n", + "Lasso+Ridge+ElasticNet+SVR+GradientBoostingRegressor+XGBRegressor 0.13118450267\n", + "Lasso+Ridge+HuberRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131186315846\n", + 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"LinearRegression+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.149217224787\n", + "LinearRegression+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149228529894\n", + "RANSACRegressor+HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.149284537662\n", + "ElasticNet+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.149297021822\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149302519159\n", + "Ridge+ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.149318930496\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+RandomForestRegressor+XGBRegressor 0.149335023828\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149346384509\n", + "ElasticNet+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149375418821\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+XGBRegressor 0.149383642829\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+RandomForestRegressor 0.149390120867\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.149399628528\n", + "ElasticNet+HuberRegressor+SVR+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149415307674\n", + "Ridge+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.149423405052\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+RandomForestRegressor+XGBRegressor 0.149445451772\n", + "ElasticNet+TheilSenRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149451176784\n", + "ElasticNet+HuberRegressor+SVR+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.149451870182\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor 0.14948583666\n", + "Lasso+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor 0.149487968107\n", + "ElasticNet+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.149526452155\n", + "LinearRegression+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.149531530984\n", + "Ridge+ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149533734197\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+XGBRegressor 0.149547257644\n", + "ElasticNet+RANSACRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149567187276\n", + "Lasso+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.149629414423\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149631361822\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149648778182\n", + "RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.149656665257\n", + "ElasticNet+HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.149671143725\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+AdaBoostRegressor+RandomForestRegressor 0.149704996658\n", + "ElasticNet+HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.149706666065\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.149710001459\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor 0.149760260497\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149767004037\n", + "Lasso+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149770102715\n", + "Ridge+ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149793011964\n", + "LinearRegression+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.149797484918\n", + "HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.149803347132\n", + "HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.149806780692\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor 0.149820521819\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.149835621392\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.149842553924\n", + "HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.14984543898\n", + "Ridge+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.149887233932\n", + "HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.149918147047\n", + "Ridge+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.149918669969\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.149918775019\n", + "RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149937435761\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149954328368\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor 0.14996610749\n", + "TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.150017040529\n", + "LinearRegression+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.150022934656\n", + "HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.150036701455\n", + "Ridge+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.150059931468\n", + "HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.150067296454\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.150070355332\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+XGBRegressor 0.150079341012\n", + "TheilSenRegressor+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.150082701174\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor 0.150138830596\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+RandomForestRegressor 0.150152508853\n", + "ElasticNet+RANSACRegressor+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.150181033896\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor 0.150181546787\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor 0.150187898356\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+XGBRegressor 0.150217740254\n", + "ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.150256316809\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor 0.150308727202\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.150389728667\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.150396204867\n", + "Ridge+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.150450033795\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+RandomForestRegressor 0.150530883119\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.150658363602\n", + "TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.150717873324\n", + "TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.150727159475\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.150753415571\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.15088987884\n", + "RANSACRegressor+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.15099300689\n", + "TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.150996172836\n", + "Ridge+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.151036865594\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.151044923329\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor 0.151049615238\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.15111151682\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+XGBRegressor 0.151124999423\n", + "RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.151130169613\n", + "Ridge+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.151209040973\n", + "Ridge+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor 0.151213465324\n", + "TheilSenRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.151410653005\n", + "ElasticNet+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.151416388242\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor 0.151417882396\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.151462807068\n", + "TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.151538671619\n", + "RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.15155243055\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.151561441701\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.151765902647\n", + "HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.151801223829\n", + "RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.151862941154\n", + "HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.151908815933\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.151928347893\n", + "RANSACRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.151960338809\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.151981499828\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.152019075734\n", + "RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.152023292719\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor 0.15213453114\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor 0.152153824588\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+XGBRegressor 0.15224416441\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+RandomForestRegressor 0.152259238851\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+RandomForestRegressor 0.152381087604\n", + "RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.152388246518\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor 0.152485918372\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.152490058695\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+XGBRegressor 0.152505982765\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.152655872183\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.152734976491\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor 0.152825473182\n", + "ElasticNet+HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.152958071038\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+RandomForestRegressor 0.153126352058\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.153278722058\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.153302256408\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.153500731916\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.153555391942\n", + "HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.15355966004\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.153723916007\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.153750949434\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.153827944268\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.153845745528\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.154125413923\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.154355973924\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.1549660747\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.15526726915\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.155376674022\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.155767189015\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.15591460802\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.156000491912\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.156251909883\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.156803915688\n", + "\n", + "Model Amount : 7\n", + "Lasso+LinearRegression+Ridge+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127926929743\n", + "Lasso+LinearRegression+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128338766579\n", + "Lasso+LinearRegression+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128498970421\n", + "Lasso+Ridge+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12850727843\n", + "Lasso+Ridge+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128617448673\n", + "Lasso+LinearRegression+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128678504517\n", + "Lasso+LinearRegression+ElasticNet+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128743442145\n", + "Lasso+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128775633939\n", + "LinearRegression+Ridge+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128858770117\n", + "Lasso+LinearRegression+Ridge+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.12900298311\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129004367382\n", + "LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129022532969\n", + "Lasso+LinearRegression+Ridge+ElasticNet+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129040822305\n", + "Lasso+LinearRegression+Ridge+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129041447558\n", + "Lasso+LinearRegression+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129093216733\n", + "Lasso+LinearRegression+Ridge+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129130465301\n", + "Lasso+ElasticNet+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129168068582\n", + "Lasso+LinearRegression+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129188555534\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129277679294\n", + "Lasso+LinearRegression+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129281729259\n", + "LinearRegression+Ridge+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129288237441\n", + "Lasso+LinearRegression+ElasticNet+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129288689771\n", + "Lasso+LinearRegression+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129308510433\n", + "Lasso+Ridge+ElasticNet+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129377952805\n", + "Lasso+LinearRegression+Ridge+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12939115631\n", + "Lasso+Ridge+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129418120148\n", + "Lasso+LinearRegression+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129432022154\n", + "Ridge+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129434187478\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129435160115\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129459445352\n", + "Lasso+Ridge+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.129491221358\n", + "Lasso+Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.129493844125\n", + "Lasso+Ridge+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129541989169\n", + "Lasso+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129610007186\n", + "Lasso+LinearRegression+ElasticNet+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129619120533\n", + "Lasso+Ridge+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129627733054\n", + "Lasso+LinearRegression+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.129656621495\n", + 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"ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.146789194603\n", + "TheilSenRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.146794784192\n", + "Lasso+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.146806561187\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.146829507565\n", + "ElasticNet+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.146836020554\n", + "Lasso+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.146880108723\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.146885839413\n", + "ElasticNet+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.146904624633\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.146906748368\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.14691064642\n", + "TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.14692589705\n", + "LinearRegression+ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.146939839443\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+RandomForestRegressor 0.146947275767\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor 0.147020452727\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.147050401045\n", + "Lasso+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.147062241453\n", + "LinearRegression+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147066529776\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.147074512892\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.147124707912\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.147134745543\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.147160618071\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.147164768121\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+XGBRegressor 0.147167170231\n", + "Lasso+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.147208631449\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.147213431657\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.147215145513\n", + "RANSACRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.147243233865\n", + "RANSACRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.14725195594\n", + "RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.147277949435\n", + "Ridge+ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.147287338513\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+XGBRegressor 0.147299848696\n", + "RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.147316541187\n", + "LinearRegression+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.147360017987\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.147362682988\n", + "Lasso+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.147393047962\n", + "HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.147447500931\n", + "Lasso+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.147459824502\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147488240874\n", + "RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.1474900799\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147511256675\n", + "ElasticNet+TheilSenRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147523834256\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.147535591012\n", + "Ridge+ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147542478658\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor 0.147548375247\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+XGBRegressor 0.147559213988\n", + "Ridge+ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147576848886\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+RandomForestRegressor+XGBRegressor 0.147577668272\n", + "ElasticNet+HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.14758461149\n", + "ElasticNet+HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.147596159371\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.147629069974\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.147630767068\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.147661755516\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.147664097958\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.147719920724\n", + "ElasticNet+RANSACRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147733131058\n", + "LinearRegression+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.147738396823\n", + "RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147819818967\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.147877466608\n", + "Ridge+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.147900138246\n", + "Lasso+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147927252379\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.14795103542\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.147976538022\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.147981387974\n", + "ElasticNet+RANSACRegressor+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.148031103946\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.148046608619\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.148064347833\n", + "LinearRegression+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.148118701324\n", + "Ridge+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.148121356523\n", + "ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.14814881491\n", + "Ridge+ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.148178604373\n", + "HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.148196585283\n", + "Ridge+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.148221498369\n", + "HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.148266077481\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.148364842351\n", + "TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.148379140761\n", + "Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.148429467894\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.148444739319\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.148514449859\n", + "Ridge+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.148524863526\n", + "TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.148651357023\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.148796760607\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.148798720366\n", + "SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.14881043852\n", + "ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.148822190159\n", + "ElasticNet+HuberRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.148881042631\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.148931711756\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.148999728991\n", + "Ridge+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.149024479884\n", + "TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149025473279\n", + "Ridge+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149034363513\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.149076456419\n", + "DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.149143544412\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149159251199\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.149225221708\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.14924275525\n", + "ElasticNet+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.149300596373\n", + "RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.149323766034\n", + "TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.149443581017\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor 0.149479859667\n", + "RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.149510382456\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149520815355\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.149600213066\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.149663063722\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.14966440585\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.149680794161\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149835772074\n", + "HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.149875565416\n", + "RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.149916478288\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.149940777743\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.149968364596\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+RandomForestRegressor 0.150010490286\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor 0.150032232587\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+XGBRegressor 0.150051698621\n", + "RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.150184279949\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.150283807926\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.150308715905\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.150356044468\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.150485882073\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.150512429981\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.150975006165\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.15125798913\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.151285208742\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.152520069559\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.152665670126\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.152849206769\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.153061999167\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.153531634258\n", + "\n", + "Model Amount : 8\n", + "Lasso+LinearRegression+Ridge+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128744815807\n", + "Lasso+LinearRegression+Ridge+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128752844112\n", + "Lasso+LinearRegression+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128906279856\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129012688809\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129030025433\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129065967214\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129070022746\n", + "Lasso+LinearRegression+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129127655655\n", + "Lasso+LinearRegression+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129289488451\n", + "Lasso+Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129335626953\n", + "LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129385937178\n", + 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"LinearRegression+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.146335484962\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.14641639526\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.146547525322\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.1465574124\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.146581816891\n", + "Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.146628691123\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.146662308926\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.146718628588\n", + "Ridge+ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.146744628055\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.146924511997\n", + "Ridge+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147040486539\n", + "Ridge+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147055060832\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.147059697299\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147063552153\n", + "Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.1471417954\n", + "ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147367022614\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.147367663291\n", + "HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.147456226863\n", + "TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147481625282\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.14756747949\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.147656665835\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.147906488044\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.148196480443\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.14822776302\n", + "RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.148247437305\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.148323296307\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.148337472982\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.148346476929\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.148359572409\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.148497809631\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.148518773833\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.149022684929\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.149034439511\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.15101196731\n", + "\n", + "Model Amount : 9\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12914274306\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129186347736\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129225687127\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129281588765\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129293233401\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129326127481\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129363315144\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129533807562\n", + "Lasso+LinearRegression+Ridge+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129637052724\n", + "LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129657811728\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129713677098\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129735157779\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12976709436\n", + "LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129798320102\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129834540695\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129834690114\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129849842538\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129866720996\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129911682811\n", + "Lasso+LinearRegression+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129933061344\n", + "Lasso+LinearRegression+Ridge+ElasticNet+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129942083208\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.129963211887\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130053935915\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130076173011\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130090149231\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130091011145\n", + "Lasso+LinearRegression+ElasticNet+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130133341199\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130149979213\n", + "Lasso+LinearRegression+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130156454207\n", + "Lasso+LinearRegression+Ridge+ElasticNet+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130162820693\n", + "Lasso+LinearRegression+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130180156015\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130245922127\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130254180292\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130254540184\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130258780737\n", + "Lasso+Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130264385896\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130278257273\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130307520137\n", + "LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130329911028\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130336357138\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130344460068\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130377128415\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130395222442\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130407603787\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130411604188\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130441159986\n", + "Lasso+Ridge+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130443948537\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130460425456\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130462534127\n", + "Lasso+Ridge+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130486398029\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130507594543\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130531962935\n", + "Lasso+LinearRegression+Ridge+ElasticNet+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130537159813\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130539129948\n", + "Lasso+LinearRegression+Ridge+ElasticNet+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130541152479\n", + "LinearRegression+Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13054338767\n", + "Lasso+LinearRegression+ElasticNet+RANSACRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130544799752\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130549362937\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130571641031\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+SVR+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130577834258\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130578143288\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130582271645\n", + "Lasso+LinearRegression+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130595407653\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130602016506\n", + "Lasso+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13060645689\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130621883859\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130631048509\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130636079254\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+HuberRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130656956132\n", + "Lasso+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.1306721852\n", + "Lasso+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130674955645\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+SVR+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130677590989\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130682930506\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130708914347\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.1307394609\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.130758681868\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+HuberRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130780726343\n", + "Lasso+Ridge+ElasticNet+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130802465373\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130802791038\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130802973365\n", + "LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130831613812\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+HuberRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130841940421\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130867627176\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130869951554\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130898823636\n", + "LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130912063194\n", + 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"ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.142588782658\n", + "Lasso+ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.142590577478\n", + "Ridge+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.142593351329\n", + "LinearRegression+ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.142595543643\n", + "LinearRegression+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.142614233704\n", + "LinearRegression+Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.142617620503\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.142622269688\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.142624510181\n", + "Lasso+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.142636424628\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.142655863545\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.142666180566\n", + "Lasso+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.142687302869\n", + "LinearRegression+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.142688004259\n", + "LinearRegression+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.142695902214\n", + "Lasso+ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.142708629316\n", + "LinearRegression+ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.14271457311\n", + "LinearRegression+ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.142715221275\n", + "Lasso+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.142718148167\n", + "RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.142737631754\n", + "TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.142835400521\n", + "Lasso+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.142846719995\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.142873832235\n", + "LinearRegression+ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.14287779702\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.142900405953\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.142908255956\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.142919320759\n", + "Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.142953375091\n", + "Lasso+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.142975220497\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.142975458584\n", + "Lasso+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.142976037768\n", + "Lasso+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.142995944969\n", + "LinearRegression+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.143077399004\n", + "Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.143115618661\n", + "LinearRegression+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.143140458639\n", + "LinearRegression+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.143163990529\n", + "Ridge+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.143180457899\n", + "LinearRegression+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.143194491296\n", + "Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.143260615614\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.143358701466\n", + "RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.143360456982\n", + "Ridge+ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.143378192825\n", + "Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.143390645229\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.143396686486\n", + "Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.143397745151\n", + "Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.143402864547\n", + "Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.143474531339\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.143592450188\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.143671382095\n", + "Ridge+ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.143706817135\n", + "Ridge+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.143707711832\n", + "Ridge+ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.143724076562\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.143729858807\n", + "Ridge+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.143737905074\n", + "Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.143752692158\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.143753251316\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.143760655506\n", + "Ridge+ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.143764582432\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.143776820972\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.143793454367\n", + "Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.14379416303\n", + "Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.143810597364\n", + "Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.143828716631\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.143835343254\n", + "ElasticNet+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.143841274742\n", + "TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.143856992632\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.143864539445\n", + "Ridge+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.143868645341\n", + "Ridge+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.143875390557\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.143997634798\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.144001436907\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.144154018\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.144174574745\n", + "TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.14420991222\n", + "TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.144214389739\n", + "ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.144224116597\n", + "ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.144241248424\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.144259192554\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.144266963887\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.144421528359\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.144470684069\n", + "RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.144822023744\n", + "Lasso+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.144828082935\n", + "RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.144864220659\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.145021362518\n", + "ElasticNet+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.145052438767\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.145134296097\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.145277297891\n", + "ElasticNet+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.145358023191\n", + "HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.145812471188\n", + "Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.145892615381\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.146105715468\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.146601566644\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.147339077127\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.147348156777\n", + "\n", + "Model Amount : 10\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12941602922\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129636396187\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12968893155\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129733299025\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129762839682\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129908427333\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129930274214\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129964881775\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130017878967\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130048957057\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130061589984\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130125370073\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130158601124\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130236063602\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130239006929\n", + "LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130250452093\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130348722389\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130363461439\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130399111081\n", + 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"ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.143731322416\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.143765515793\n", + "ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.144639523239\n", + "\n", + "Model Amount : 11\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129702489557\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12997551769\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130261452324\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130319957598\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13034623437\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13038053712\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130382456792\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.130520292558\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130641846915\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130836255235\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130878963279\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130911837447\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130950280719\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131026691381\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131190912617\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131212704596\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131267703273\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13127012557\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131296129959\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13131760649\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131348566852\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131366253529\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13137803007\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+XGBRegressor 0.13141354121\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.13141404271\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131463530207\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131475963589\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.131477982091\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131494910615\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131502844731\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131518965144\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131522029798\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131546770846\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.131584433196\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131624805203\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131666871389\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131671608978\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13171221914\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131739795696\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131782103811\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131783396778\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13179337079\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131878694104\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131889020891\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131890007313\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131903307245\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131907113296\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131926264806\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131927857193\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131928525822\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131933275736\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131936411953\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131941902453\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131949823712\n", + "Lasso+LinearRegression+Ridge+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131954098583\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131956134695\n", + "Lasso+LinearRegression+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131968598753\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131975781853\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131975966008\n", + "LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13198457218\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132002911708\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132012089107\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132083962115\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.132093489784\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132100260549\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132108845557\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132116193963\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132147833032\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132162855046\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132196721824\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132206082916\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132228348961\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132229883603\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132236291176\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13224089698\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132243553996\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+XGBRegressor 0.132251936628\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132255976012\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132265601167\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132275167027\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132281858298\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132288954205\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13229990558\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132302846551\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132306484517\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132306970832\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132312157313\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132329293393\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13234075604\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132370871315\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132386201919\n", + "LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132421794595\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+XGBRegressor 0.132422378984\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132425181767\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132452413697\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132460803014\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132460822109\n", + 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"LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.138815090459\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.13881521181\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.138823414073\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.138826796721\n", + "Lasso+LinearRegression+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.138828006129\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.138830665574\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.138838311643\n", + "Ridge+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.138839653474\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.138842461607\n", + "Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.138851564341\n", + "Lasso+LinearRegression+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.138859068249\n", + "Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.138877776156\n", + "Lasso+LinearRegression+Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.13889690572\n", + "Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13891973233\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.139015830954\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.139073477303\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13911089225\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.139111851643\n", + "Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.139131901079\n", + "Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.139133172861\n", + "Ridge+ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.139147208517\n", + "Ridge+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.139236165369\n", + "Lasso+LinearRegression+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.139245118805\n", + "TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13932850847\n", + "Lasso+Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.139406639278\n", + "Lasso+Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.139424968651\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.139542329649\n", + "LinearRegression+Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.139621808633\n", + "LinearRegression+Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.139642682719\n", + "Lasso+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.139659846658\n", + "Lasso+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.139666048713\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.139667384811\n", + "Lasso+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.139668672662\n", + "LinearRegression+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.139699077918\n", + "LinearRegression+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.139710180071\n", + "Lasso+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.139782357361\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.13985318985\n", + "Lasso+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.139854568774\n", + "Lasso+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.139893757393\n", + "LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.139906554053\n", + "LinearRegression+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.14000779416\n", + "LinearRegression+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.140048821527\n", + "Lasso+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.140198000051\n", + "LinearRegression+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.140323228414\n", + "Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.140389268423\n", + "Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.140389435362\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.140390020276\n", + "Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.140659370836\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.140674524811\n", + "Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.140689199267\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.140693143513\n", + "Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.141104401843\n", + "ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.141246056732\n", + "ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.141610632687\n", + "\n", + "Model Amount : 12\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130193380744\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131097396162\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131117703804\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131177549783\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131424803552\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131540410956\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131585612615\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131598510493\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131598541981\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131736853875\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.131938608406\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131961414091\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131974306489\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131984140653\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132061858403\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132065778049\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132067288223\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132100975446\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132106779255\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132107909132\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132144393395\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132163363295\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132167634683\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132174771911\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13220778573\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132220858057\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132232266224\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132350177828\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132451986951\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132471355058\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132510924971\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132527536235\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13258015912\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132581294731\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.132603616367\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132618546887\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132632020752\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132655031618\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132666644381\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132705422301\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.13273777178\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132748894695\n", + 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"LinearRegression+Ridge+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136338188805\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.136340272279\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.136373613794\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.136382805818\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 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"LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor+XGBRegressor 0.136413386634\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor 0.136436524399\n", + "Lasso+Ridge+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136465202692\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136466546168\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136474587728\n", + "Lasso+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.136475229784\n", + "Lasso+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136481384881\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.136489099831\n", + "Lasso+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136497592072\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.136505729758\n", + "Lasso+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136513841222\n", + "Lasso+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136519759394\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136524616657\n", + "Lasso+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.136534275684\n", + "Lasso+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.1365386511\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136548198999\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.136581507007\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.136598443178\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.136598545306\n", + "Lasso+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136615304779\n", + "LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.136630049066\n", + "LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136640139769\n", + "LinearRegression+Ridge+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136649197168\n", + "LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.136659919418\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.136674038189\n", + "LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.136675985087\n", + "LinearRegression+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136676547158\n", + "LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.136679636272\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.136692552182\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.136720981288\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.136756309975\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.136774307276\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13677863927\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.136782095852\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+RandomForestRegressor 0.136819987507\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+XGBRegressor 0.136849560847\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.136870070529\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.136879672839\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor 0.136886522737\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.136898572304\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.13697056765\n", + "Lasso+LinearRegression+Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.137071586047\n", + "Lasso+LinearRegression+Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.137102123159\n", + "Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.137128030885\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13716437238\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.137166423269\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.137179734972\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.137220939785\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.137243228596\n", + "Lasso+LinearRegression+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.137252081102\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor 0.137312112895\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.137344403559\n", + "Lasso+LinearRegression+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.137364049122\n", + "Lasso+LinearRegression+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.13741045132\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.137642901025\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.137703758732\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.137715224817\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.137725446929\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.137759426105\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.137809036417\n", + "Lasso+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.137812312562\n", + "Lasso+Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.137818205418\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.137822558705\n", + "Lasso+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.137848103475\n", + "Lasso+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.137908397167\n", + "Lasso+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.137934621573\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.137968304991\n", + "LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.137996068654\n", + "LinearRegression+Ridge+ElasticNet+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13799818074\n", + "LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.138012658736\n", + "Lasso+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.138022106171\n", + "LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.138050109352\n", + "LinearRegression+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.138056995574\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.138105167717\n", + "Lasso+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.138214029518\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor 0.138234034747\n", + "LinearRegression+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.138342452168\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.138509472229\n", + "Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.138527787703\n", + "Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13871382797\n", + "Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.138971504659\n", + "ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.138974702111\n", + "\n", + "Model Amount : 13\n", + 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"Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.137081400282\n", + "\n", + "Model Amount : 14\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132828091395\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132850505043\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.133168768482\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13375435832\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.133930537605\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.134068840053\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+XGBRegressor 0.134138819305\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.13418412404\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.134739257293\n", + "Lasso+LinearRegression+Ridge+ElasticNet+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.134821372402\n", + "Lasso+LinearRegression+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.134836383376\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+RandomForestRegressor+XGBRegressor 0.135187496405\n", + "Lasso+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.135218981737\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor 0.135221327055\n", + "LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.135315522158\n", + "\n", + "Model Amount : 15\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.134028947124\n", + "\n" + ] + } + ], + "source": [ + "final_results = []\n", + "for comb_length in range(1,len(regs)+1):\n", + " print('Model Amount :',comb_length)\n", + " results = []\n", + " for comb in itertools.combinations(preds,comb_length):\n", + " pred_sum = 0\n", + " model_name = []\n", + " for reg_name,pred in comb:\n", + " pred_sum += pred\n", + " model_name.append(reg_name)\n", + " pred_sum /= comb_length\n", + " model_name = '+'.join(model_name)\n", + " score = np.sqrt(mean_squared_error(np.log(y_test),np.log(pred_sum)))\n", + " results.append([model_name,score])\n", + " results = sorted(results,key=lambda x:x[1])\n", + " for model_name,score in results:\n", + " print(model_name,score)\n", + " print()\n", + " final_results.append(results[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Lasso+GradientBoostingRegressor+XGBRegressor 0.124979582373\n", + "Lasso+LinearRegression+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.126491410988\n", + "Lasso+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.126842572869\n", + "Lasso+XGBRegressor 0.127194837142\n", + "Lasso+LinearRegression+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127371402793\n", + "Lasso+LinearRegression+Ridge+SVR+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.127926929743\n", + "Lasso+LinearRegression+Ridge+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.128744815807\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12914274306\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.12941602922\n", + "Lasso+LinearRegression+Ridge+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.129702489557\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.130193380744\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.131609901609\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.132828091395\n", + "GradientBoostingRegressor 0.133400775498\n", + "Lasso+LinearRegression+Ridge+ElasticNet+TheilSenRegressor+RANSACRegressor+HuberRegressor+SVR+DecisionTreeRegressor+ExtraTreeRegressor+AdaBoostRegressor+ExtraTreesRegressor+GradientBoostingRegressor+RandomForestRegressor+XGBRegressor 0.134028947124\n" + ] + } + ], + "source": [ + "final_results = sorted(final_results,key=lambda x:x[1])\n", + "for model_name,score in final_results:\n", + " print(model_name,score)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "最终输出" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(0, 'Lasso'),\n", + " (1, 'LinearRegression'),\n", + " (2, 'Ridge'),\n", + " (3, 'ElasticNet'),\n", + " (4, 'TheilSenRegressor'),\n", + " (5, 'RANSACRegressor'),\n", + " (6, 'HuberRegressor'),\n", + " (7, 'SVR'),\n", + " (8, 'DecisionTreeRegressor'),\n", + " (9, 'ExtraTreeRegressor'),\n", + " (10, 'AdaBoostRegressor'),\n", + " (11, 'ExtraTreesRegressor'),\n", + " (12, 'GradientBoostingRegressor'),\n", + " (13, 'RandomForestRegressor'),\n", + " (14, 'XGBRegressor')]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "[b for b in zip(itertools.count(),[a[0] for a in regs])]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "pred = np.mean(list(map(lambda x:regs[x][1].predict(test),[0,12,14])),axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "sub = pd.DataFrame({'Id':test['Id'],'SalePrice':pred})\n", + "sub.to_csv('submission_Universe_fillNaN.csv',index=None)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}