why does pca fail when modeling why does the neural net model have variable distributions what is neural net why does pca not always work in neural nets why does it occur in a neural net what occurs when you use pca for multiple variables how to get the y variable in a neural network model what does the neural net do why do pca variables come out as y variables why does a neural network use variables why should a neural net model be prior to using a model? why do you need ann model why do the data sets in pca come out as strong independent variable why will a neural net model be unable to handle multiple variable distributions? when using neural net x and y, what happens why does anns fail in training why does validation indicate a model is ok neural networks - why are variables used in training what happens when you use the nnn method in annotated dataset why is pca used in neural net