Skip to main content

Table 2 Comparison among the methods J48, Clusk and ClusEM

From: Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm

  Wins Acc Wins TS Margin Acc Wins (vs. J48) Margin TS Wins (vs. J48) Margin Acc Loss (vs. J48) Margin TS Loss (vs. J48)
J48 14 2
Clusk 13 63 4.40 % 23.4 4.30 % 1.75
ClusEM 10 18 4.20 % 28.2 4.40 % 0.91
  1. Wins Acc—number of times each method has outperformed the other two regarding accuracy
  2. Wins TS—number of times each method has outperformed the other two regarding tree size
  3. Margin Acc Wins (vs. J48)—average difference in accuracy when a Clus-DTI method outperforms J48
  4. Margin TS Wins (vs. J48)—average difference in tree size when a Clus-DTI method outperforms J48
  5. Margin Acc Loss (vs. J48)—average difference in accuracy when a Clus-DTI method is outperformed by J48
  6. Margin TS Loss (vs. J48)—average difference in tree size when a Clus-DTI method is outperformed by J48