论文信息 - Confidence Intervals for the Risks of Regression Models

Confidence Intervals for the Risks of Regression Models

The empirical risks of regression models are not accurate since they are evaluated from the finite number of samples. In this context, we investigate the confidence intervals for the risks of regression models, that is, the intervals between the expected and empirical risks. The suggested method of estimating confidence intervals can provide a tool for predicting the performance of regression models.

Rhee Man Kil | Imhoi Koo

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