I have been given two different arrays, which describe if a user is active on a site or not based on some features. The first array is for training. Each row of the array is a different user and the columns are different features. The first 896 columns describes the users using-patterns and the remaining 28 are lables (These 28 columns stands for 28 different time periods, they are labled 1 if the user is active in the time period, 0 otherwise.
The second array is for testing and has the same amount of columns, but here the last 28 rows are empty. My task is to predict the probability that a user will be active during each time period. I am a bit lost and are looking for (preferably quite simple) methods to solve this problem with.