Corpus ID: 14229903

Bias Plus Variance Decomposition for Zero-One Loss Functions

@inproceedings{Kohavi1996BiasPV,
  title={Bias Plus Variance Decomposition for Zero-One Loss Functions},
  author={R. Kohavi and D. Wolpert},
  booktitle={ICML},
  year={1996}
}
  • R. Kohavi, D. Wolpert
  • Published in ICML 1996
  • Computer Science
  • We present a bias variance decomposition of expected misclassi cation rate the most commonly used loss function in supervised classi cation learning The bias variance decomposition for quadratic loss functions is well known and serves as an important tool for analyzing learning algorithms yet no decomposition was o ered for the more commonly used zero one misclassi cation loss functions until the recent work of Kong Dietterich and Breiman Their decomposition su ers from some ma jor shortcomings… CONTINUE READING
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    References

    SHOWING 1-10 OF 20 REFERENCES