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Ensembling Methods for Selecting a Splitting Attribute in Decision Trees Learning Algorithms

Table 1: Classification tasks

Task number Name Sample size Number of attributes Number of target classes
1 Type of car determining 470 18 4
2 Speaker accent recognition 329 12 6
3 Type of cityscape determination 675 147 9
4 Stage of hepatitis C recognition 615 12 5
5 Iris variety recognition 150 4 3
6 Parkinson's disease recognition 756 754 2
7 Need for preventive maintenance of equipment determination 10000 5 2
8 Defining images by segments 2310 19 7
9 Heart defect recognition 270 13 2
10 Soil type recognition from satellite imagery 6435 36 6
11 Biodegradable chemicals recognition 1055 41 2
12 Workgroup classification by productivity in a sewing factory 1197 13 9
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