Transition the target from quality_binary to the full multi-class quality score. Update the output layer nodes, change the loss function to CrossEntropy, and tune the architecture (e.g., adding a second hidden layer or dropout) to maximize the multi-class F1-score.
Transition the target from quality_binary to the full multi-class quality score. Update the output layer nodes, change the loss function to CrossEntropy, and tune the architecture (e.g., adding a second hidden layer or dropout) to maximize the multi-class F1-score.