Results for "expectation error"

A conceptual framework describing error as the sum of systematic error (bias) and sensitivity to data (variance).

Average value under a distribution.

A function measuring prediction error (and sometimes calibration), guiding gradient-based optimization.

A proper scoring rule measuring squared error of predicted probabilities for binary outcomes.

Measures a model’s ability to fit random noise; used to bound generalization error.

Systematic error introduced by simplifying assumptions in a learning algorithm.

Error due to sensitivity to fluctuations in the training dataset.

Learning by minimizing prediction error.

Average of squared residuals; common regression objective.