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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.

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As this video described https://www.youtube.com/watch?v=EuBBz3bI-aA Variance would be calculated by taking a training set and the curve of prediction, and taking the sum of the squares between them. …
answered Feb 17 by Homunculus
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Because of my low reputation I'll use this reply as a comment. Fitting a curve over the points of the blue course isn't enough? There are a lot of methods out there, one of them being the classic spl …
answered Feb 16 by Homunculus
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I've been reading recently about over-fitting and it is frequently related to High Sampling Variance and Low Bias characteristics. However, what is the metric used to state the High Sampling Varianc …
asked Feb 16 by Homunculus