Add project 5 sources.

p5_classification/test_cases/CONFIG

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+order: "q1 q2 q3 q4 q5 q6"

p5_classification/test_cases/q1/CONFIG

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+max_points: "4"
+class: "PartialCreditQuestion"

p5_classification/test_cases/q1/grade.solution

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+# This is the solution file for test_cases/q1/grade.test.

p5_classification/test_cases/q1/grade.test

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+class: "GradeClassifierTest"
+classifierModule: "perceptron"
+classifierClass: "PerceptronClassifier"
+
+max_iterations: "4"
+
+datasetName: "bigDigitData"
+
+# our solution: 75%
+exactOutput: "False"
+accuracyScale: "4"
+accuracyThresholds: "70"
+
+

p5_classification/test_cases/q2/CONFIG

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+max_points: "1"
+class: "PassAllTestsQuestion"

p5_classification/test_cases/q2/grade.solution

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+# This is the solution file for test_cases/q2/grade.test.
+# File intentionally blank.

p5_classification/test_cases/q2/grade.test

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+class: "MultipleChoiceTest"
+question: "q2"
+result: "86f7e437faa5a7fce15d1ddcb9eaeaea377667b8"
+
+
+

p5_classification/test_cases/q3/CONFIG

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+max_points: "6"
+class: "PartialCreditQuestion"

p5_classification/test_cases/q3/grade.solution

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+# This is the solution file for test_cases/q3/grade.test.

p5_classification/test_cases/q3/grade.test

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+class: "GradeClassifierTest"
+classifierModule: "mira"
+classifierClass: "MiraClassifier"
+
+max_iterations: "5"
+
+datasetName: "bigDigitData"
+
+# our solution: 87%
+exactOutput: "False"
+accuracyScale: "6"
+accuracyThresholds: "80"

p5_classification/test_cases/q4/CONFIG

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+max_points: "6"
+class: "PartialCreditQuestion"

p5_classification/test_cases/q4/grade.solution

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+# This is the solution file for test_cases/q4/grade.test.

p5_classification/test_cases/q4/grade.test

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+class: "GradeClassifierTest"
+classifierModule: "naiveBayes"
+classifierClass: "NaiveBayesClassifier"
+
+automaticTuning: "True"
+featureFunction: "enhancedFeatureExtractorDigit"
+
+datasetName: "bigDigitData"
+
+# baseline is 79%
+# our solution is 85%
+exactOutput: "False"
+accuracyScale: "3"
+accuracyThresholds: "80 84"

p5_classification/test_cases/q5/CONFIG

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+max_points: "4"
+class: "PartialCreditQuestion"

p5_classification/test_cases/q5/contest.solution

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+# This is the solution file for test_cases/q5/contest.test.

p5_classification/test_cases/q5/contest.test

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+class: "GradeClassifierTest"
+classifierModule: "perceptron_pacman"
+classifierClass: "PerceptronClassifierPacman"
+
+max_iterations: "5"
+
+datasetName: "contestData"
+
+featureFunction: "basicFeatureExtractorPacman"
+
+exactOutput: "False"
+accuracyScale: "2"
+accuracyThresholds: "70"

p5_classification/test_cases/q5/suicide.solution

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+# This is the solution file for test_cases/q5/suicide.test.

p5_classification/test_cases/q5/suicide.test

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+class: "GradeClassifierTest"
+classifierModule: "perceptron_pacman"
+classifierClass: "PerceptronClassifierPacman"
+
+max_iterations: "5"
+
+datasetName: "suicideData"
+
+featureFunction: "basicFeatureExtractorPacman"
+
+exactOutput: "False"
+accuracyScale: "2"
+accuracyThresholds: "70"

p5_classification/test_cases/q6/CONFIG

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+max_points: "4"
+class: "PartialCreditQuestion"

p5_classification/test_cases/q6/contest.solution

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+# This is the solution file for test_cases/q6/contest.test.

p5_classification/test_cases/q6/contest.test

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+class: "GradeClassifierTest"
+classifierModule: "perceptron_pacman"
+classifierClass: "PerceptronClassifierPacman"
+
+automaticTuning: "True"
+featureFunction: "enhancedFeatureExtractorPacman"
+
+max_iterations: "4"
+
+datasetName: "contestData"
+
+exactOutput: "False"
+accuracyScale: "2"
+accuracyThresholds: "90"

p5_classification/test_cases/q6/suicide.solution

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+# This is the solution file for test_cases/q6/suicide.test.

p5_classification/test_cases/q6/suicide.test

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+class: "GradeClassifierTest"
+classifierModule: "perceptron_pacman"
+classifierClass: "PerceptronClassifierPacman"
+
+automaticTuning: "True"
+featureFunction: "enhancedFeatureExtractorPacman"
+
+max_iterations: "4"
+
+datasetName: "suicideData"
+
+exactOutput: "False"
+accuracyScale: "2"
+accuracyThresholds: "80"