21 lines
560 B
Python
21 lines
560 B
Python
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import pandas as pd
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from scipy.stats import ranksums
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from cliffsDelta import cliffsDelta
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def evaluate(feature: str):
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print(f'====={feature}=====')
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print(ranksums(ml_data[feature], no_ml_data[feature]))
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print(cliffsDelta(ml_data[feature], no_ml_data[feature]))
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if __name__ == '__main__':
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data = pd.read_csv('commit_analysis.csv')
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ml_data = data[data['is_ml']]
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no_ml_data = data[~data['is_ml']]
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evaluate('file_entropy')
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evaluate('line_entropy')
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evaluate('n_comments')
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evaluate('words_mean')
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evaluate('day_to_fix')
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