🎉 🎉. RAPIDMINER 9.8 IS OUT!!! 🎉 🎉
RapidMiner 9.8 continues to innovate in data science collaboration, connectivity and governance
Question abut: Sliding Window Validation...
1- The parameter: "training window step size" says it is: "Number of examples the window is moved after each iteration"
but that number of examples are from the begining of the training window or from it's end?
2- The parameter: "horizon" says it is "Increment from last training to first testing example", but when it says: "last training" it is from the begining of the training wiindow or from it's end?
3- Is there (or could you make) some graphic which helps to understand the above two points better?. I think a graphic could help a lot.
4- In one example I saw on internet, had the configuration:
training window width: 20
training window step size: 5
test window width: 20
I noticed that the "training window step size" and the "horizon" have the same values. Is it common set the same values for these two parameters?, if so, why?.
5- What means the nomenclature: "Range: integer; -1-+?" ?
I have never seen that nomenclature in my life
6- The parameter: "cumulative training" says it is "Indicates if each training window should be added to the old one or should replace the old one". I don't understand this too much. Could you explain this with other words?
Thanks in advance, Rapidcrazy.