Created
November 4, 2020 11:34
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004_missforest
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# Add imputed values as columns to the untouched dataset | |
iris_orig['MF_sepal_length'] = X_imputed[:, 0] | |
iris_orig['MF_petal_width'] = X_imputed[:, -1] | |
comparison_df = iris_orig[['sepal_length', 'MF_sepal_length', 'petal_width', 'MF_petal_width']] | |
# Calculate absolute errors | |
comparison_df['ABS_ERROR_sepal_length'] = np.abs(compaison_df['sepal_length'] - comparison_df['MF_sepal_length']) | |
comparison_df['ABS_ERROR_petal_width'] = np.abs(compaison_df['petal_width'] - comparison_df['MF_petal_width']) | |
# Show only rows where imputation was performed | |
comparison_df.iloc[sorted([*inds1, *inds2])] |
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