8000 fix numpy bug in imputation example by kevinpCroat · Pull Request #2935 · scikit-learn/scikit-learn · GitHub
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fix numpy bug in imputation example #2935

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Mar 4, 2014
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fix numpy bug in imputation example #2935

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6 changes: 3 additions & 3 deletions examples/imputation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,8 +12,8 @@
Script output:

Score with the entire dataset = 0.56
Score without the samples containing missing values = 0.48
Score after imputation of the missing values = 0.55
Score without the samples containing missing values = 0.49
Score after imputation of the missing values = 0.57

"""
import numpy as np
Expand Down Expand Up @@ -48,7 +48,7 @@

# Estimate the score without the lines containing missing values
X_filtered = X_full[~missing_samples, :]
y_filtered = y_full[~missing_samples, :]
y_filtered = y_full[~missing_samples]
estimator = RandomForestRegressor(random_state=0, n_estimators=100)
score = cross_val_score(estimator, X_filtered, y_filtered).mean()
print("Score without the samples containing missing values = %.2f" % score)
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