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

Table 3: Ensembling efficiency

Task number Classification accuracy for groups:
All methods 3 best 3 average 3 worst BAW Best method
1 0.412 0.632 0.548 0.409 0.416 0.691
2 0.32 0.52 0.417 0.325 0.324 0.563
3 0.164 0.309 0.258 0.163 0.163 0.745
4 0.864 0.883 0.864 0.83 0.854 0.883
5 0.649 0.952 0.932 0.649 0.649 0.956
6 0.444 0.691 0.693 0.442 0.471 0.752
7 0.892 0.952 0.895 0.847 0.933 0.957
8 0.199 0.868 0.246 0.199 0.199 0.932
9 0.683 0.757 0.694 0.614 0.611 0.766
10 0.541 0.827 0.543 0.541 0.541 0.831
11 0.697 0.72 0.77 0.711 0.715 0.799
12 0.209 0.378 0.234 0.209 0.209 0.426
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