To improve the MLacc performance, a neural network could be implemented to accept all input variables and predict multiple response variables at the same time. This requires modifying ML.py and train.py, combining all the training loops into a single NN training process.
To improve the MLacc performance, a neural network could be implemented to accept all input variables and predict multiple response variables at the same time. This requires modifying
ML.pyandtrain.py, combining all the training loops into a single NN training process.