: Importing data (e.g., from CSV or JSON) and cleaning text by removing stop words and handling n-grams to improve accuracy.
When reviewing this script, consider these specific technical aspects: svc.py
: Check if the data is properly divided into training, validation, and test sets to ensure the model's reliability on new data. : Importing data (e
A well-structured svc.py usually includes the following stages: : Importing data (e.g.
: Ensure the model uses class_weight='balanced' if your dataset has an uneven number of positive and negative samples.
: Using sklearn.svm.SVC for classification.
: Converting text into numerical data using techniques like TfidfVectorizer or CountVectorizer .