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skills/classification-model-builder/references/README.md

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+# References
+
+Bundled resources for classification-model-builder skill
+
+- [ ] model_evaluation_metrics.md: Detailed explanations of various classification model evaluation metrics (accuracy, precision, recall, F1-score, AUC-ROC) and their interpretation.
+- [ ] data_preprocessing_guide.md: Best practices for data preprocessing, including handling missing values, feature scaling, and encoding categorical variables.
+- [ ] model_selection_guide.md: Guidelines for selecting the appropriate classification model based on the characteristics of the dataset and the problem being solved.
+- [ ] hyperparameter_tuning.md: Techniques for hyperparameter tuning to optimize model performance.