id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_qazchnt2ebbbzg5332xif7e2t4	Sunil Vadera	Inducing safer oblique trees without costs	2005	31	.pdf	application/pdf	11559	1989	82	decision tree learning algorithms or suggested ways of changing the distribution of training examples to bias the decision tree learning process so as to take account of costs. The algorithm is evaluated with respect to ICET, one of the best known cost-sensitive Thus, the problem of developing an effective cost-sensitive decision tree algorithm when Consider the application of a decision tree induction algorithm on the Diabetes data set, which has been widely used for data for training and 50% for testing, then decision tree algorithms would typically produce Thus, as this example illustrates, if a learning algorithm aims to minimise the cost, there is easy, since assigning a relatively large cost to one class simply has the effect of pruning trees empirical evaluation of the effect of cost-based versions of pruning algorithms, similar to The ICET system takes an evolutionary approach to inducing cost effective decision trees (Turney, 1995). A comparison of cost-sensitive decision tree learning algorithms.	./cache/work_qazchnt2ebbbzg5332xif7e2t4.pdf	./txt/work_qazchnt2ebbbzg5332xif7e2t4.txt