소개
The Classification Modeling skill provides a comprehensive framework for developing predictive models that assign observations to discrete categories. It streamlines the implementation of various algorithms—ranging from Logistic Regression to advanced ensemble methods like Random Forest and Gradient Boosting—while providing built-in tools for rigorous evaluation. Whether you are tackling binary outcomes like churn prediction or complex multiclass tasks, this skill offers the patterns needed for feature scaling, handling class imbalances, and generating detailed performance visualizations like ROC curves and confusion matrices.
