Bias-variance / overfitting

About this app

Many training sets from the same world as a family of models: average model against the truth (bias), spread of the models (variance) and the exact decomposition test error = bias² + variance + noise over polynomial degree or ridge λ.

Subject: Statistics

More from Statistics

• Anscombe's quartet
• Law of large numbers
• Hypothesis test & p-value
• Confidence interval
• Measures of location & spread
• Measures of location & spread 2.0
• Logistic regression
• Maximum likelihood estimation

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