Errors and Loss
Errors - differences between predicted values and actual values, also called residuals - are a key part of statistical models. They form the raw material for various metrics of predictive model performance (accuracy, precision, recall, lift, etc.), and also the basis for diagnostics on descriptive…
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November 4, 2019