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msouthwell/supervised_learning
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The project1.py file has a main function with commented out method calls that will run the various tests. The data is currently set up for my first classification problem (determining the activity a subject is performing). The training data is located in: train_x.csv train_y_subject.csv train_y_activity.csv The test set has both the x and y data in the same file. The Y values are in the 0 column, the X values begin in column 1. XY_test_activity.csv XY_test_subject.csv To plot the results use the report_plots.py file. Uncomment the desired method in the main method. You will need to hand input file names into the desired plotting method.
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Creates learning curves of various supervised learning algorithms
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