2021-05-26 13:32:48 +02:00
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from bayes import Bayes
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from datapreparator import DataPreparator
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import pandas as pd
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import os
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filename = 'music_genre.csv'
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if os.path.isfile(filename):
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data = pd.read_csv(filename)
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else:
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data_raw = pd.read_csv('music_genre_raw.csv')
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data = DataPreparator.prepare_data(data_raw)
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data.to_csv(filename, index=False)
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2021-05-26 15:25:00 +02:00
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X_train, X_test, Y_train, Y_test = DataPreparator.train_test_split(data)
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2021-05-26 21:08:58 +02:00
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bayes = Bayes('_model.model')
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2021-05-26 15:25:00 +02:00
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if(not bayes.model_exists):
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bayes.train(X_train, Y_train)
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Y_predicted = bayes.predict(X_train)
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eval_result = bayes.eval(Y_train, Y_predicted)
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print("Train:")
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print(eval_result[1])
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Y_predicted = bayes.predict(X_test)
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eval_result = bayes.eval(Y_test, Y_predicted)
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2021-05-26 21:08:58 +02:00
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2021-05-26 15:25:00 +02:00
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print("Test:")
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print(eval_result[1])
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2021-05-26 21:08:58 +02:00
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#Result preview
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# for i in range(100):
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# print(f"Expected: {Y_test.to_numpy()[i]}\tPred: {Y_predicted[i]}")
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DataPreparator.print_df_info(data)
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