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.

How Informal Bias Relates to Training Error

Interpreting Training Error on a Large Dataset

Informal Bias and Training Error