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Predictive models are statistical models whose primary purpose is to predict other observations of a system optimally, as opposed to models whose purpose is to test a particular hypothesis or explain a phenomenon mechanistically. As such, predictive models place less emphasis on interpretability and more emphasis on performance.

2 votes

When is unbalanced data really a problem in Machine Learning?

For me the most important problem with unbalanced data is the baseline estimator. For example, you have two classes with 90% and 10% sample distribution. But what does this mean for a dummy or naive c …
Max Kleiner's user avatar