23 lines
542 B
Python
23 lines
542 B
Python
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from sklearn.ensemble import RandomForestRegressor
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from sklearn.feature_selection import f_regression
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from sklearn.linear_model import LinearRegression
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from data import generate_data
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from ranks import mean_calc_and_sort, get_ranks
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if __name__ == '__main__':
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x, y = generate_data()
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linear = LinearRegression()
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linear.fit(x, y)
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rfr = RandomForestRegressor(bootstrap=True)
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rfr.fit(x, y)
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f, p_val = f_regression(x, y, center=True)
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ranks = get_ranks(linear, rfr, f)
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print("mean", mean_calc_and_sort(ranks))
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