High Training Error Calls for Better Fit, Not More Data

Low Bias and Low Variance Mean Good Performance

A Negative Gap to the Best Achievable Error Usually Signals Memorization

Informal and Technical Uses of Bias and Variance

Training Performance Is a Baseline for Held-Out Performance

Informal Meaning of Model Bias

True or False: In this framework, the term bias refers to a model’s error on the validation or test set.

Informal meaning of bias in a large-sample setting

Informal Meaning of Bias

In this informal usage, bias means the model's error on the training set.

Informally, an algorithm's _____ is the error rate on the training set.

Match each learning-curve term to its meaning.

Order the steps for estimating bias from training error.

Why use a very large training set when estimating bias?

Bias Is Measured on the Holdout Set

In the large-sample limit, bias is typically assessed on the _____ data.

Match each learning-term description with its role in the informal bias definition.

Order the steps for deciding whether bias is the main cause of poor model performance.

Interpreting Training Error on a Large Dataset

Informal Bias and Training Error