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Statistical techniques used for predicting outcomes.
2
votes
Accepted
problem of choosing right statistical method for scheduler prediction
Do you know if the scheduler has a memory?
Let us assume for a moment that the scheduler has no memory. This is a straightforward classification (supervised learning) problem: the inputs are X, the …
49
votes
Accepted
Why Is Overfitting Bad in Machine Learning?
Overfitting is empirically bad. Suppose you have a data set which you split in two, test and training. An overfitted model is one that performs much worse on the test dataset than on training datase …