Cross-validation: why one train/test split lies
One train/test split gives one lucky or unlucky score. Learn k-fold and stratified cross-validation in scikit-learn, and how to avoid leaking data inside it.
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One train/test split gives one lucky or unlucky score. Learn k-fold and stratified cross-validation in scikit-learn, and how to avoid leaking data inside it.
How a decision tree picks its questions using Gini impurity, why a single tree overfits, and how a random forest fixes it by averaging many different trees.