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