Hi folks -
I was drawn to RapidMiner Studio because of its "no-code" environment from an industry outside of computer science, and hence have no programming chops whatsoever. I'm trying to set up a simple time series prediction model with 20 attributes and 1 label upon which to predict. There are approximately 75 rows in my data. I want the window size to be 7 and to predict on the very next step. The data is on an excel spreadsheet, is arranged by date in one column, the label is in a second column, and all other data - as attributes - are also displayed in columns.The prediction is a 2-class problem. Not a regression. I have closely followed the introductory video in how to set up a simple "windowing" operator, using alternatively SVM, deep learning & decision tree models (for no particular reason...just want to get something to work), but when i attempt to run it it complains in ways I can't possibly seem to decipher. Can anyone help me walk through this?
I promise you my first borne...Richard