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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

0 votes
2 answers
354 views

Is it possible to know if a machine learning model is overfitted from negative samples?

I have a trained model and with this I can classify faces, if I test the classifier by entering the same negative samples (not faces) with which I train, is it possible to know if my model is overfitt …
SRG's user avatar
  • 33
3 votes
2 answers
590 views

How should I perform cross-validation of 10-fold?

Suppose that the circles in red are negative samples and the circles in blue are positive samples and that the green boxes are the validation set and all the blank boxes are the training set. In addit …
SRG's user avatar
  • 33