: Importing data (e.g., from CSV or JSON) and cleaning text by removing stop words and handling n-grams to improve accuracy.
: Check if the data is properly divided into training, validation, and test sets to ensure the model's reliability on new data. svc.py
A well-structured svc.py usually includes the following stages: : Importing data (e
: Ensure the model uses class_weight='balanced' if your dataset has an uneven number of positive and negative samples. : Importing data (e.g.
: For large datasets, LinearSVC is often preferred over SVC because it is less computationally expensive and converges faster.
When reviewing this script, consider these specific technical aspects: