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Table 2 Accuracies 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) 93.33% (0.93) 93.33% (0.85)
2 86.43% (0.79) 84.62% (0.77) 93.03% (1.06) 92.12% (0.94)
3 78.61% (1.30) 64.23% (1.72) 81.53% (1.11) 81.53% (1.02)
4 88.62% (0.66) 84.38% (0.67) 75.43% (0.83) 72.76% (0.79)
5 59.04% (1.72) 56.33% (1.93) 71.19% (0.92) 69.78% (1.13)
6 96.67% (1.10) 95.67% (0.82) 82.32% (1.17) 80.28% (1.51)
7 94.46% (1.03) 94.46% (1.03) 97.32% (0.84) 97.32% (0.84)
8 60.00% (2.08) 50.00% (2.03) 72.33% (1.42) 70.82% (1.49)
9 83.61% (1.28) 81.29% (0.97) 91.94% (0.91) 93.67% (0.72)
10 68.00% (1.98) 66.54% (1.21) 76.00% (1.65) 71.76% (1.32)
11 77.67% (1.30) 72.44% (0.91) 75.53% (1.33) 73.81% (1.11)
12 55.83% (2.14) 59.58% (2.12) 63.33% (1.81) 61.67% (1.84)
13 58.92% (0.86) 57.14% (0.96) 50.36% (0.84) 49.32% (0.88)
14 58.75% (0.91) 62.33% (1.01) 58.33% (1.04) 57.65% (1.09)
15 54.94% (0.72) 54.20% (0.74) 55.34% (1.70) 53.86% (1.07)
16 72.43% (1.32) 71.25% (1.45) 86.22% (1.41) 85.45% (1.22)
17 70.06% (0.94) 68.96% (1.17) 82.81% (0.79) 81.78% (1.42)
18 81.21% (0.58) 83.78% (0.68) 83.76% (0.91) 89.76% (0.75)
19 74.12% (1.32) 72.22% (1.21) 85.12% (1.09) 84.19% (1.31)
20 59.45% (2.08) 59.45% (2.08) 100.00% (0.00) 100.00% (0.00)
21 62.32% (1.54) 65.24% (1.43) 78.23% (0.59) 76.23% (0.54)
22 73.22% (0.78) 69.78% (1.21) 78.23% (0.77) 77.23% (0.78)
23 73.32% (0.92) 68.49% (0.98) 46.22% (0.98) 48.55% (0.87)
24 76.12% (1.32) 73.04% (1.72) 83.32% (1.65) 80.12% (1.23)
Average 73.49% (2.07) 71.48% (2.12) 77.55% (2.65) 76.79% (2.32)
  1. Accuracies for EBD and FI discretization methods are obtained from the application of C4.5 and NB classifiers to the discretized variables. The mean and the standard error of the mean (SEM) for the accuracy for each dataset is obtained by 10 × 10 cross-validation. For each dataset, the higher accuracy is shown in bold font and equal accuracies are underlined.