Misclassification Cost

A Misclassification Cost is a number that quantifies the net cost (less than zero) or benefit (greater than zero) for each Correct Prediction and Incorrect Prediction.

• See: Cost-Benefit Matrix, Cost-based Classification.

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References

1999

• (Fan et al., 1999) ⇒ Wei Fan, Salvatore J. Stolfo, Junxin Zhang, and Philip K. Chan. (1999). “AdaCost: Misclassification Cost-Sensitive Boosting.” In: Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999).

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