Practical Data Science using Python - Logistic Regression - Model Evaluation - AUC-ROC

The video tutorial covers logistic regression using stats model and scikit-learn, highlighting differences such as regularization and intercept handling. It explains model training, evaluation, and the use of confusion matrix to assess performance. Various classification metrics like sensitivity and specificity are discussed, along with the ROC curve and AUC for evaluating binary outcomes.

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