Learn Before
Informal and Technical Uses of Bias and Variance
In this lesson, the terms bias and variance are used as practical tools for improving a learning algorithm, not as the same quantities statisticians define. In this informal setting, Bias refers to the part of the model’s error that comes from the model being too simple or too constrained. More precisely, the technical term for this lesson’s Bias is error we attribute to bias. Likewise, Avoidable bias means the portion of error that remains above the best achievable error, so its technical meaning is error caused by the learning algorithm’s bias beyond the optimal error rate.
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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.
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
Learn After
Why are bias and variance often explained with informal definitions in machine learning?
Do these machine-learning terms mean exactly the same thing as they do in statistics?
Technical term for the part of error caused by model bias is _____.
Match the informal machine learning terms with their intended technical meanings.
Order the steps for estimating avoidable bias in a model
Which statement best describes avoidable bias in the technical sense?
Bias in This Definition
Avoidable Bias Definition
Match each term to the definition used in this lesson.
Order the steps for choosing practical definitions of bias and variance.
Practical and Formal Meanings of Bias
Clarifying a practical term for model error
Technical Name for the Bias-Related Error Term