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Model Training
Select algorithms, train, and compare performance.
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Random Forest
Robust ensemble
Baseline Acc
97.2%
XGBoost
Gradient boosting champion
Baseline Acc
98.4%
CatBoost
Categorical-friendly
Baseline Acc
97.8%
LightGBM
Fast leaf-wise trees
Baseline Acc
98.1%
Logistic Regression
Interpretable baseline
Baseline Acc
91.2%