Machine Learning, Feature Sele, F1 Score, Classification, Imbalanced Class.
and making it more accurate. One can do step-wise regression- wherein a modeller adds variable step by step and checks for F-Score; whether the additional variable added value to the model or not. Additionally, modeller can start with all the variables available and starts deleting variable one by