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

Table 4: Ensemble efficiency with weighting coefficients

Task number Classification accuracy for groups:
All methods 3 best 3 average 3 worst BAW Best method
1 0.419 0.64 0.548 0.409 0.413 0.691
2 0.325 0.527 0.436 0.32 0.324 0.563
3 0.164 0.308 0.261 0.164 0.164 0.745
4 0.864 0.884 0.864 0.828 0.853 0.883
5 0.649 0.951 0.932 0.649 0.649 0.956
6 0.452 0.683 0.691 0.461 0.444 0.752
7 0.889 0.951 0.897 0.843 0.942 0.957
8 0.199 0.87 0.247 0.199 0.199 0.932
9 0.69 0.755 0.688 0.604 0.635 0.766
10 0.541 0.826 0.543 0.541 0.541 0.831
11 0.698 0.723 0.766 0.71 0.713 0.799
12 0.209 0.387 0.232 0.209 0.209 0.426
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