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by brendangregg 3310 days ago
Instead of giving the entire dataset to the model (which in this case already identifies a performance limit visually), give a partial set and then see if these algorithms can predict the remaining known values. That should be the real test of whether prediction works.

Here's what I found last time I did it: https://github.com/brendangregg/PerfModels/blob/master/scale...

ie, I'm splitting the dataset into "model input" and "extra measurements". USL was not really working.

1 comments

I think that the 10th data point in your model is an outlier.

Could you test it again

1) by adding 11th data point, 2) without 10th data point, 3) with 10th data point corrected?