I just faced a problem that I never experienced. My goal is to predict the number of times they will eat food in cafeteria from the rating (1-5) of each menu there are total of 34 menus. When I implemented logistic regression or feedforward network to tackle it, it did not work as both the accuracy and loss did not decrease.
Loss function: Cross entropy
for logistic regression, I have 3 hidden layer.
One think I am suspecting is that I have too less data, which is around 200 points. This is kind of prototype but could you guys maybe give some suggestions on tacking this issue.