: Check if the data is properly divided into training, validation, and test sets to ensure the model's reliability on new data.
: For large datasets, LinearSVC is often preferred over SVC because it is less computationally expensive and converges faster. svc.py
When reviewing this script, consider these specific technical aspects: : Check if the data is properly divided
: Converting text into numerical data using techniques like TfidfVectorizer or CountVectorizer . svc.py
: Ensure the model uses class_weight='balanced' if your dataset has an uneven number of positive and negative samples.