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| def estimate_rf(df): | |
| X = df.income.values.reshape(-1,1) | |
| y = df.minutes.values | |
| rf_reg = RandomForestRegressor(100, n_jobs=8, oob_score=True) | |
| rf_reg.fit(X,y) | |
| # store residuals | |
| y_new = df.minutes - reg.oob_prediction_ | |
| return y_new[df[group == 1]].mean() - y_new[df[group == 0]].mean() |
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