What's the best approach to create a Neural Network with missing data? I have 8 inputs and 2 output variables.
My input data missing is significant (roughly 60%). I do not wish to make a regression analysis to predict the missing values.
Can I create A Neural Network capable of utilizing the available information in each test?
E.g. test 1: 5 inputs available---> The network functions with 5 inputs
test 2: 3 inputs available---> The network functions with 3 inputs