October 2019
Beginner to intermediate
674 pages
16h 43m
English
Overfitting is a well-known problem in machine learning, whereby the program memorizes the specific data that it is fed as input, leading to perfect results on the training data and abysmal results on the test data.
To prevent overfitting, the tenfold cross-validation technique can be used to introduce variability in the data during the training phase.
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