Table 3 AUCs for the EBD and FI discretization methods
From: Application of an efficient Bayesian discretization method to biomedical data
Classifier | C4.5 | NB | ||
|---|---|---|---|---|
Dataset | EBD | FI | EBD | FI |
1 | 98.00% (0.06) | 98.00% (0.06) | 69.32% (0.88) | 66.79% (0.92) |
2 | 73.19% (1.08) | 69.37% (1.22) | 78.58% (1.87) | 79.96% (1.98) |
3 | 57.24% (1.88) | 55.42% (1.65) | 56.08% (1.70) | 54.16% (1.92) |
4 | 68.37% (1.27) | 69.43% (0.95) | 58.12% (1.08) | 59.72% (1.17) |
5 | 55.21% (1.12) | 54.38% (1.44) | 56.87% (1.41) | 53.91% (1.09) |
6 | 61.54% (0.63) | 60.11% (0.95) | 88.21% (0.66) | 86.38% (0.86) |
7 | 88.45% (1.42) | 88.45% (1.42) | 91.35% (0.76) | 91.35% (0.76) |
8 | 54.11% (1.12) | 55.49% (0.89) | 58.76% (0.85) | 59.61% (0.76) |
9 | 88.34% (1.32) | 86.90% (1.41) | 87.65% (1.18) | 84.28% (1.12) |
10 | 76.45% (0.68) | 74.30% (0.81) | 85.44% (0.99) | 82.59% (1.04) |
11 | 68.25% (0.71) | 66.12% (0.61) | 72.38% (1.01) | 70.74% (0.98) |
12 | 56.65% (1.21) | 55.14% (1.06) | 57.89% (0.95) | 53.72% (0.86) |
13 | 70.45% (0.87) | 73.18% (0.65) | 69.89% (0.71) | 71.55% (0.75) |
14 | 56.32% (1.12) | 55.16% (0.98) | 54.42% (0.98) | 55.12% (0.96) |
15 | 76.12% (0.87) | 73.49% (1.01) | 89.45% (0.89) | 91.27% (0.56) |
16 | 82.21% (1.31) | 80.06% (1.12) | 82.86% (1.17) | 80.11% (1.09) |
17 | 78.65% (1.41) | 80.15% (1.32) | 78.14% (1.12) | 75.98% (1.24) |
18 | 94.75% (0.87) | 92.31% (0.90) | 96.12% (0.65) | 94.19% (0.72) |
19 | 76.31% (1.25) | 74.23% (1.14) | 82.42% (1.03) | 81.16% (1.24) |
20 | 94.12% (1.19) | 95.43% (1.21) | 100.00% (0.00) | 100.00% (0.00) |
21 | 54.24% (0.75) | 52.13% (0.46) | 55.09% (0.43) | 54.92% (0.65) |
22 | 64.18% (0.94) | 60.65% (0.98) | 64.87% (0.89) | 64.25% (0.71) |
23 | 83.24% (0.76) | 81.56% (0.79) | 77.23% (0.97) | 76.17% (0.88) |
24 | 80.86% (1.01) | 80.21% (0.89) | 84.72% (0.89) | 81.21% (0.77) |
Average | 73.22% (1.89) | 72.15% (1.77) | 74.83% (1.43) | 73.71% (1.24) |