समय के साथ मॉडल स्कोर की परिवर्तनशीलता का विज़ुअलाइज़ेशन

from sklearn.model_selection import cross_val_score

# Generate scores for each split to see how the model performs over time
scores = cross_val_score(model, X, y, cv=cv, scoring=my_pearsonr)

# Convert to a Pandas Series object
scores_series = pd.Series(scores, index=times_scores, name='score')

# Bootstrap a rolling confidence interval for the mean score
scores_lo = scores_series.____(20).aggregate(partial(____, percentiles=2.5))
scores_hi = scores_series.____(20).aggregate(partial(____, percentiles=97.5))