Svc.py

: Ensure the model uses class_weight='balanced' if your dataset has an uneven number of positive and negative samples.

: Generating reports to check for overfitting (requires reducing polynomial degree) or underfitting (requires increasing degree). Key Areas to Check During Your Review svc.py

: For large datasets, LinearSVC is often preferred over SVC because it is less computationally expensive and converges faster. : Ensure the model uses class_weight='balanced' if your