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2 years ago in Artificial Intelligence By Aarna

What is the Jackknife test in machine learning?

How is the Jackknife technique applied to evaluate the robustness and error estimation of a machine learning model?

ArtificialIntelligence JackknifeTest

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By Akshatha Patel Answered 1 year ago

The Jackknife is a resampling technique used to estimate the bias and variance of a statistic. To perform it: For a dataset of n samples, create n subsets, each omitting one different sample. Train and evaluate your model on each subset. The Jackknife estimate of the statistic (e.g., accuracy) is the average of these n results, and its variance provides an error estimate.

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