[P3-T1] Establish a Baseline Model

[edaaydinea]

• Description: Train a simple, interpretable model like LogisticRegression to serve as our performance baseline. Log its parameters, performance metrics (Accuracy, Precision, Recall, F1, AUC), and the model artifact using MLflow.
• Acceptance Criteria: An MLflow run is logged with the baseline model's performance on the validation set.