Bias and variance: a model's two kinds of error
A model goes wrong for two separate reasons, and those two reasons are enemies. Lower one and you raise the other.
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Sources
- Geman, S., Bienenstock, E. & Doursat, R. 1992 · Neural Networks and the Bias/Variance Dilemma · Neural Computation, 4(1)
- Hastie, Tibshirani, Friedman 2009 · The Elements of Statistical Learning, Bölüm 7.3 · Springer
- Bishop, C. M. 2006 · Pattern Recognition and Machine Learning, Bölüm 3.2 · Springer
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