When a classifier has high bias, it usually achieves very low training error.
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Related
Recognizing When Both Bias and Variance Are High
If a model has both high bias and high variance, its training error and development error are usually about the same.
Learning Curves That Point to _____
Reading Training and Validation Patterns
Diagnosing Bias and Variance in a Model
What a learning curve suggests when both underfitting and overfitting are present
Evaluating a Sales Forecast Model
What does a large validation gap indicate when training error is already high?
What should you do when the learning curve suggests both weak fit and high instability?
Related
Recognizing When Both Bias and Variance Are High
If a model has both high bias and high variance, its training error and development error are usually about the same.
Learning Curves That Point to _____
Reading Training and Validation Patterns
Diagnosing Bias and Variance in a Model
What a learning curve suggests when both underfitting and overfitting are present
Evaluating a Sales Forecast Model
What does a large validation gap indicate when training error is already high?
What should you do when the learning curve suggests both weak fit and high instability?