S.M. Weiss, R. Galen and P.V. Tadepalli, Maximizing the predictive value of production rules . C 4.5 s hypothesis class includes decision trees of arbitrary depth, but with only binary splits on continuous attributes. The other five new datasets were obtained from the UCI repository. 4 Table 1 gives the datasets main characteristics. Size is the total number of examples in the dataset.
Classes is the number of classes in the dataset.
Geometric Problems in Machine Learning. Simple hypotheses classes of this type have turned out to be quite interesting in applied machine learning. Weiss et al. S.M. Weiss, R. Galen and P.V. Tadepalli, Maximizing the predictive value of production rules . We have found several business applications where categorizing text would aid its use, routing, or analysis.