Training Error §

Group: 5 #group-5

Relations §

• Bias-Variance Tradeoff: The training error is a measure of how well the model fits the training data, and is affected by both bias and variance.
• Underfitting: In underfitting, the model may have a high training error, indicating that it is unable to fit the training data well.