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Interpretable Machine Learning With Python Pdf Download ((exclusive)) Jun 2026
# Print the feature importance for i in range(X.shape[1]): print(f"Feature i: feature_importance[i]:.3f")
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import pandas as pd import numpy as np from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier import shap # Print the feature importance for i in range(X
