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Table 3 Performance of meta classification techniques compared to bagged J48.

From: Enhancing navigation in biomedical databases by community voting and database-driven text classification

  Bagging AdaBoost MultiBoost
Dataset J48 PART J48 PART J48 PART
CA 92.1 (5.0) 91.9 (5.5) 93.1 (5.4) 92.0 (5.9) 92.5 (4.8) 91.3 (6.0)
CVD 91.8 (4.6) 91.1 (5.6) 91.9 (5.0) 90.5 (5.8) 91.9 (5.0) 91.6 (5.4)
DM 96.4 (3.6) 96.2 (3.7) 97.3 (3.6) 97.0 (3.6) 97.0 (3.3) 96.9 (3.5)
APO 98.3 (3.1) 98.3 (3.1) 98.9 (2.5) 98.3 (2.8) 98.6 (2.7) 97.9 (3.4)
ANG 95.3 (4.2) 95.6 (4.2) 96.0 (3.6) 94.9 (4.1) 95.1 (4.2) 95.1 (4.3)
MI 94.5 (3.9) 94.6 (3.5) 95.4 (3.8) 95.1 (3.9) 94.9 (4.1) 94.4 (3.8)
BD 90.7 (5.3) 89.6 (6.3) 91.4 (4.3) 90.1 (6.1) 91.2 (5.1) 89.6 (6.1)
  1. F-Measure (in %) and standard deviation. No statistically significant degradation or improvement was observed.