hello,

i think the problem for this challenge is that we have a multiclass _multioutput classification (multiclass means every ouput has 3 classes high, ok or low and multioutput means 3 labels hdl cholestrol,ldl and hemoglobine)so my question is for personnes who have a good accuracy in there model .do you use a neural network that have the ability to predict our defferent class and defferent output or a model of neural network that predict every output alone(hdl_cholesterol ,ldl_cholestrol and hemoglobine),or you transform the probleme from multiclass and multi output to only multi output (this methode i use it but i don't have a good accurency).

i am very interested about the subject ,give me an answer ,please