Table 1

Results on simulated data for 1 feature with different level of within sample heterogeneity in the different classes.

HierNB Classifier

StNB Classifier


Exp

σ22

Acc

Brier

Acc

Brier


1

15

0.620 [0.604 0.636]

0.449

0.559 [0.539 0.580]

0.490

2

30

0.762 [0.740 0.790]

0.307

0.560 [0.540 0.580]

0.490

3

45

0.830 [0.813 0.849]

0.228

0.554 [0.537 0.570]

0.490

4

60

0.878 [0.866 0.888]

0.176

0.556 [0.531 0.582]

0.490

5

75

0.899 [0.883 0.914]

0.147

0.560 [0.534 0.586]

0.490


Exp = experiment number, Acc = Accuracy, Brier = Brier Score. In brackets the 95% confidence intervals for the estimate of the accuracy.

Demichelis et al. BMC Bioinformatics 2006 7:514   doi:10.1186/1471-2105-7-514

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