A New Information Measure Based on Example-Dependent Misclassification Costs and Its Application in Decision Tree Learning

Table 1

German credit dataset: results for different learning algorithms. “Default” is the classifier obtained when always predicting the class that maximizes 𝐁_𝐤𝐣𝐩(𝐤_𝐣)(see Bayes’ decision rule).

Algorithm	Estimated mean costs
Default	4.38
SVMLight	3.07
DIPOL_OC	3.67
Resampling DIPOL	3.61
CAL 5_OC	2.97