id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_iiconkps45cr5gmnah3zudj2e4	Alejandro Correa Bahnsen	Example-dependent cost-sensitive decision trees	2015	36	.pdf	application/pdf	8835	933	69	Using three different databases, from three real-world applications: credit card fraud detection, credit scoring and direct marketing, we In this paper we formalize a new measure in order to define when a problem is cost-insensitive, class-dependent cost-sensitive or example-dependent In this paper we formalize a new measure in order to define when a problem is cost-insensitive, class-dependent cost-sensitive or example-dependent We evaluate the proposed example-dependent cost-sensitive decision tree 4. Example-Dependent Cost-Sensitive Decision Trees 4. Example-Dependent Cost-Sensitive Decision Trees For example in credit card fraud detection, it is true that false positives have a different cost than false negatives, nevertheless, false negatives In this section we present the datasets used to evaluate the exampledependent cost-sensitive decision tree algorithm CSDT proposed in the Section 4. Table 6: Results on the three datasets of the cost-sensitive and standard decision tree, we proposed an example-dependent cost-sensitive decision tree algorithm, by	./cache/work_iiconkps45cr5gmnah3zudj2e4.pdf	./txt/work_iiconkps45cr5gmnah3zudj2e4.txt