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

Table 5: Results averaged over 12 tasks

Methods for selecting a splitting attribute Averaged value of classification accuracy (%)
Variance 65.808
Mean absolute difference 65.783
Variance ratio 65.392
ReliefF 68.825
Fisher score 62.244
Chi-Squared score 58.483
Correlation-based 60.525
Fast correlation-based filter 53.617
Separation Measure 76.592
Ensemble of all methods 50.617
Ensemble of all methods with weights 50.825
Ensemble 3 best practices 70.742
Ensemble of 3 best methods with weights 70.875
Ensemble 3 medium methods 59.117
Ensemble of 3 Mean Methods with Weights 59.208
Ensemble of 3 Worst Methods 49.492
An ensemble of 3 worst methods with weights 49.475
Ensemble of BAW Methods 50.708
Ensemble of BAW Methods with Weights 50.717
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