Definition: "rsrv2" means "Residual Sum of Squares". In statistics, it's a measure of how far an estimate deviates from the true value based on data. It helps identify potential issues or errors in regression models. For example, if you've computed a prediction model and found that the sum of squared residuals is large (meaning the model underestimates actual values), you might be seeing overfitting, where the model's predictions are too similar to training data.
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