The Problem I'm trying to solve is predicting the performance of the computer system based on the past data, Data is taken by the system every 5 minutes and it contains tons of useful features to predict the performance. But as I told you it is a time-series data taken for the same set of features over a time interval. So how I can effectively model this situation with a learning model which preserves its "time-series" ness of the data?
note: Accuracy is not so important, I want to model which preserves "time" features. Thanks