Key Learnings Understanding of Logistic Regression for classification. Importance of standardizing features before model fitting. Use of evaluation metrics (precision, recall, ROC-AUC) for model ...

Fit a Logistic Regression Model Trained the model using sklearn.linear_model.LogisticRegression Predicted labels and probabilities for the test data Evaluate the Model Evaluated performance using ...