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‎06-Naive-Bayes/C# - Basic spam classifier/.gitignore‎

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## Ignore Visual Studio temporary files, build results, and
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## files generated by popular Visual Studio add-ons.
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# User-specific files
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*.suo
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*.user
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*.userosscache
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*.sln.docstates
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*.userprefs
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# Build results
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[Dd]ebug/
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[Dd]ebugPublic/
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[Rr]elease/
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[Rr]eleases/
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x64/
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x86/
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build/
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bld/
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[Bb]in/
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[Oo]bj/
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# Visual Studo 2015 cache/options directory
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.vs/
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# MSTest test Results
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[Tt]est[Rr]esult*/
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[Bb]uild[Ll]og.*
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# NUNIT
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*.VisualState.xml
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TestResult.xml
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# Build Results of an ATL Project
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[Dd]ebugPS/
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[Rr]eleasePS/
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dlldata.c
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# DNX
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project.lock.json
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artifacts/
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# NuGet Packages
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# Others
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ClientBin/
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node_modules/
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*.opt

‎06-Naive-Bayes/C# - Basic spam classifier/NaiveBayesClassifier.sln‎

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Microsoft Visual Studio Solution File, Format Version 12.00
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# Visual Studio 14
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VisualStudioVersion = 14.0.23107.0
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MinimumVisualStudioVersion = 10.0.40219.1
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Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "NaiveBayesClassifier", "NaiveBayesClassifier\NaiveBayesClassifier.csproj", "{E4E3BD3F-58DC-4D14-A21D-4F0AA056B6C5}"
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EndProject
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Global
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GlobalSection(SolutionConfigurationPlatforms) = preSolution
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Debug|Any CPU = Debug|Any CPU
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Release|Any CPU = Release|Any CPU
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EndGlobalSection
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GlobalSection(ProjectConfigurationPlatforms) = postSolution
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{E4E3BD3F-58DC-4D14-A21D-4F0AA056B6C5}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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{E4E3BD3F-58DC-4D14-A21D-4F0AA056B6C5}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{E4E3BD3F-58DC-4D14-A21D-4F0AA056B6C5}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{E4E3BD3F-58DC-4D14-A21D-4F0AA056B6C5}.Release|Any CPU.Build.0 = Release|Any CPU
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EndGlobalSection
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GlobalSection(SolutionProperties) = preSolution
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HideSolutionNode = FALSE
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EndGlobalSection
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EndGlobal

‎06-Naive-Bayes/C# - Basic spam classifier/NaiveBayesClassifier/App.config‎

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<?xml version="1.0" encoding="utf-8" ?>
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<configuration>
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<startup>
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<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.5" />
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</startup>
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</configuration>

‎06-Naive-Bayes/C# - Basic spam classifier/NaiveBayesClassifier/NaiveBayesClassifier.csproj‎

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<?xml version="1.0" encoding="utf-8"?>
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<Project ToolsVersion="14.0" DefaultTargets="Build" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
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<Import Project="$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props" Condition="Exists('$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props')" />
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<PropertyGroup>
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<Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
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<Platform Condition=" '$(Platform)' == '' ">AnyCPU</Platform>
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<ProjectGuid>{E4E3BD3F-58DC-4D14-A21D-4F0AA056B6C5}</ProjectGuid>
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<OutputType>Exe</OutputType>
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<AppDesignerFolder>Properties</AppDesignerFolder>
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<RootNamespace>NaiveBayesClassifier</RootNamespace>
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<AssemblyName>NaiveBayesClassifier</AssemblyName>
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<TargetFrameworkVersion>v4.5</TargetFrameworkVersion>
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<FileAlignment>512</FileAlignment>
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</PropertyGroup>
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<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|AnyCPU' ">
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<PlatformTarget>AnyCPU</PlatformTarget>
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<DebugSymbols>true</DebugSymbols>
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<DebugType>full</DebugType>
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<Optimize>false</Optimize>
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<OutputPath>bin\Debug\</OutputPath>
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<DefineConstants>DEBUG;TRACE</DefineConstants>
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<ErrorReport>prompt</ErrorReport>
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<WarningLevel>4</WarningLevel>
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</PropertyGroup>
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<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|AnyCPU' ">
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<PlatformTarget>AnyCPU</PlatformTarget>
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<DebugType>pdbonly</DebugType>
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<Optimize>true</Optimize>
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<OutputPath>bin\Release\</OutputPath>
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<DefineConstants>TRACE</DefineConstants>
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<ErrorReport>prompt</ErrorReport>
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<WarningLevel>4</WarningLevel>
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</PropertyGroup>
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<ItemGroup>
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<Reference Include="OxyPlot, Version=2015.1.708.0, Culture=neutral, PublicKeyToken=638079a8f0bd61e9, processorArchitecture=MSIL">
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<HintPath>..\packages\OxyPlot.Core.2015.1.708-alpha\lib\net45\OxyPlot.dll</HintPath>
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<Private>True</Private>
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</Reference>
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<Reference Include="System" />
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<Reference Include="System.Core" />
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<Reference Include="System.Xml.Linq" />
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<Reference Include="System.Data.DataSetExtensions" />
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<Reference Include="Microsoft.CSharp" />
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<Reference Include="System.Data" />
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<Reference Include="System.Net.Http" />
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<Reference Include="System.Xml" />
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</ItemGroup>
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<ItemGroup>
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<Compile Include="ProbabilityCalculator.cs" />
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<Compile Include="Program.cs" />
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<Compile Include="Properties\AssemblyInfo.cs" />
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</ItemGroup>
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<ItemGroup>
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<None Include="App.config" />
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<None Include="packages.config" />
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</ItemGroup>
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<ItemGroup>
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<Content Include="SMSSpamCollection.txt">
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<CopyToOutputDirectory>Always</CopyToOutputDirectory>
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</Content>
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</ItemGroup>
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<Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
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<!-- To modify your build process, add your task inside one of the targets below and uncomment it.
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Other similar extension points exist, see Microsoft.Common.targets.
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<Target Name="BeforeBuild">
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</Target>
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<Target Name="AfterBuild">
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</Target>
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-->
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</Project>

‎06-Naive-Bayes/C# - Basic spam classifier/NaiveBayesClassifier/ProbabilityCalculator.cs‎

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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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namespace NaiveBayesClassifier
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{
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public class Message
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{
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public string Label { get; set; }
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public string Content { get; set; }
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public double Spamicity { get; set; }
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}
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public static class ProbabilityCalculator
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{
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public static List<Message> Messages { get; set; }
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public static double ProbSpam { get; set; }
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public static double ProbHam { get; set; }
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public static int SpamMessageCount { get; set; }
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public static int HamMessageCount { get; set; }
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public static void CalculateGlobalProbabilities()
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{
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ProbSpam = (double)Messages.Count(m => m.Label == "spam") / Messages.Count;
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ProbHam = (double)Messages.Count(m => m.Label == "ham") / Messages.Count;
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//SpamMessageCount =
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}
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public static void CalculateSpamicityOfMessage(Message message)
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{
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var words = message.Content.Split(' ').ToList();
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var wordProbs = words.Select(GetSpamicityOfWord).ToList();
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var eta = wordProbs.Sum(wordProb => Math.Log(1 - wordProb) - Math.Log(wordProb));
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message.Spamicity = 1.0 / (1 + Math.Exp(eta));
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}
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public static double GetSpamicityOfWord(string word)
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{
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var probWordSpam = (double) Messages.Where(m => m.Label == "spam").Count(m => m.Content.Contains(word)) / Messages.Count(m => m.Label == "spam");
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var probWordHam = (double) Messages.Where(m => m.Label == "ham").Count(m => m.Content.Contains(word)) / Messages.Count(m => m.Label == "ham");
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return (probWordSpam * ProbSpam) / (probWordSpam * ProbSpam + probWordHam * ProbHam);
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}
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}
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}

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