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Table 4 Robustness for the EBD and FI discretization methods

From: Application of an efficient Bayesian discretization method to biomedical data

Classifier C4.5 NB
Dataset EBD (SEM) FI (SEM) EBD (SEM) FI (SEM)
1 100.00% (0.00) 100.00% (0.00) 94.94% (0.89) 94.94% (0.97)
2 90.64% (0.77) 87.69% (0.86) 94.36% (0.98) 95.17% (1.05)
3 70.78% (2.00) 53.57% (2.10) 82.44% (1.10) 81.69% (1.14)
4 84.18% (0.76) 85.87% (0.77) 90.10% (1.09) 75.91% (1.09)
5 49.83% (2.01) 53.08% (2.18) 69.97% (1.20) 86.88% (1.12)
6 83.58% (1.34) 80.58% (1.42) 97.76% (1.12) 95.89% (0.92)
7 92.50% (1.18) 92.50% (1.18) 96.67% (0.86) 97.27% (0.86)
8 55.50% (2.16) 55.11% (2.06) 70.94% (1.48) 71.67% (1.43)
9 90.61% (0.95) 87.16% (0.99) 98.98% (0.74) 96.08% (0.94)
10 75.10% (1.48) 68.65% (1.39) 74.35% (2.05) 76.93% (1.81)
11 70.36% (0.95) 70.47% (0.93) 78.25% (1.22) 82.52% (1.20)
12 57.82% (2.22) 61.04% (2.21) 63.47% (1.87) 65.94% (1.88)
13 66.12% (0.39) 66.96% (0.37) 64.89% (1.05) 50.83% (1.02)
14 57.47% (0.94) 64.13% (1.06) 67.01% (1.08) 69.18% (1.08)
15 54.94% (0.72) 54.20% (0.74) 54.16% (1.75) 61.60% (1.70)
16 73.17% (1.66) 77.17% (1.79) 92.57% (1.39) 84.11% (1.38)
17 82.71% (1.35) 87.43% (1.21) 88.25% (1.56) 85.49% (1.60)
18 79.38% (0.57) 82.65% (0.57) 88.91% (0.72) 91.81% (0.83)
19 73.00% (1.48) 79.00% (1.30) 85.55% (1.31) 85.89% (1.29)
20 58.75% (2.09) 58.75% (2.08) 100.00% (0.00) 100.00% (0.00)
21 55.18% (1.26) 62.23% (1.13) 77.01% (0.60) 76.10% (0.57)
22 72.53% (0.96) 66.84% (1.03) 90.87% (0.89) 81.15% (0.93)
23 78.16% (1.04) 76.07% (0.99) 77.79% (1.67) 52.49% (1.73)
24 75.00% (1.78) 70.00% (1.75) 80.33% (1.64) 99.86% (1.70)
Average 72.55% (2.81) 72.81% (2.76) 81.72% (2.92) 82.40% (2.59)
  1. The mean and the standard error of the mean (SEM) for robustness for each dataset is obtained by 10 × 10 cross-validation. For each dataset, the higher robustness value is shown in bold font and equal robustness values are underlined.