Model is imbalanced. SMOTE does balance the dataset but the model isnt able to classify the imbalanced class as precision is low. Would need to work on adding more features
The precision for class 0 is like 17% and class 1 is 89%. This signifies that the model is able to detect class 1 values with greater precision than class 0.
Model is imbalanced. SMOTE does balance the dataset but the model isnt able to classify the imbalanced class as precision is low. Would need to work on adding more features