Update 04_preprocessing_and_training.ipynb

Notebook filled and summary written.

Notebooks/04_preprocessing_and_training.ipynb

@@ -3530,7 +3530,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**A: 1** Your answer here"
+    "**A: 1** A baseline idea of performance was gained by simply taking the average ticket price, however, that prediction was found to be within $19 of the real ticket price. To get even closer to the real ticket price, a linear regression model was used and that model explains over 80% of the variance on the train set as well as over 70% on the test set. Using this model, on average,  you'd expect to estimate a ticket price within approximately $9 of the real price. Testing its performance using the test/split method, as expected, did not hold up consistently. The next model used is the random forest model. This model has an even lower cross-validation estimate, to the real price,  by almost $1. This model also testing consistent estimates with the various performance results. With all of this data, I’ve chosen to use the random forest model. This decision was made based off the consistency of the models results, and the ability to use this estimate on various areas of data for additional proactive solutions or predictions for conflict resolution.
    ]
   }
  ],