Machine Learning, Feature Sele, F1 Score, Classification, Imbalanced Class.
are highly imbalanced. In case of highly imbalanced class-say (Target Label 1–10 cases, Target Label 0–200 cases). If we make all our prediction as 0, we will still have an accuracy of 200/210 (95.2%) accuracy. In cases like this F1-score is good way to judge a model. Feature selection- As has been