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Informal Bias and Variance Definitions Differ from Statisticians' Definitions
The definitions of bias and variance used here are chosen to convey insight on how to improve a learning algorithm and differ from how statisticians define bias and variance. Technically, what is defined here as Bias should be called Error we attribute to bias, and Avoidable bias should be called error attributed to the learning algorithm's bias that is over the optimal error rate.
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Classifier with Low Bias and Low Variance Is Doing Well
Negative Avoidable Bias Indicates Training Set Overfitting
Informal Bias and Variance Definitions Differ from Statisticians' Definitions
Training Set Performance Comes Before Dev/Test Performance
What does an algorithm's bias informally measure according to Machine Learning Yearning?
True or False: In Machine Learning Yearning, an algorithm's informal bias is defined as its error rate on the dev/test set.
Informally, an algorithm's _____ is its error rate on the training set when the training set is very large.
What does 'bias' informally refer to according to Machine Learning Yearning?
Bias is informally defined as the algorithm's error rate on the training set.
Informally, an algorithm's _____ is its error rate on the training set.
Match each term to its description in Machine Learning Yearning's bias/variance framework.
Order the steps to correctly estimate an algorithm's bias according to Machine Learning Yearning.
Why does Machine Learning Yearning qualify bias as the training error rate on a 'very large' training set?
In Machine Learning Yearning, bias is defined as the algorithm's error rate on the dev or test set.
Roughly, the bias is the error rate of your algorithm on your _____ set when you have a very large training set.
Match each aspect of the bias definition to what it represents in Machine Learning Yearning.
Order the reasoning steps to determine whether bias is the primary error source in an underperforming ML algorithm.
Explain the Relationship Between Informal Bias and Training Set Size
Evaluating Training Error as a Measure of Bias
Distinguishing the Informal Definition of Bias
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Why does Andrew Ng choose informal definitions of bias and variance?
Do Andrew Ng's definitions of bias and variance match statisticians' definitions?
Technical name for defined Bias is _____ to bias.
Match informal terms with their technical statistical meanings.
Order the reasoning steps to identify technical avoidable bias.
What is the technical definition of Avoidable Bias?
Is the technical term for Bias 'Error we attribute to bias'?
Avoidable bias is error attributed to the algorithm's bias over _____ error rate.
Match terms to their distinct definition types.
Order the decision steps when choosing definitions for bias and variance.