F. J. Provost and A. P. Danyluk. A Study of Complications in Real-world Machine Learning. Available at http://citeseer.nj.nec.com/19634.html.

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Benefit Maximizing Classification Using Feature Intervals - Ikizler (2002)   (Correct)

....81 5.4 Overall BMFI progressions on special datasets. 82 5.5 Change in benefit accuracy with respect to interest rate in bank loans domain . 91 List of Tables 2. 1 An example cost matrix of NYNEX MAX domain [40]. 10 2.2 Cost matrix for which the optimal prediction is always C 1 and thus no learning is needed. 12 2.3 Cost matrix for which C 1 is ....

....In our evaluations, we omit the undetermined class option and force the classification algorithm to predict a class for each test instance. Hence, in our computations, and from now on in this thesis, we will be talking over nn square matrices. Table 2. 1: An example cost matrix of NYNEX MAX domain [40]. Actual Class Prediction PDF PDO PDI PDF 0 150 250 PDO 100 0 250 PDI 150 50 0 Table 2.1 shows an example cost matrix taken from [40] which denotes the cost matrix for problem of dispatching technicians to fix faults in the local loop of a telephone network (NYNEX MAX domain) This cost ....

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F. J. Provost and A. P. Danyluk. A Study of Complications in Real-world Machine Learning. Available at http://citeseer.nj.nec.com/19634.html.

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