• Aug 20, 2025 supervised machine learning with python develop r relevant features to reduce noise and improve efficiency. 3. Splitting Data into Training and Testing Sets To evaluate model generalization, data is split typically into: Training Set (e.g., 70-80%) Test Set (remaining 20-30%) scikit-learn’s `train_test_split()` is a common tool for this By Salma Zulauf
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