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 |
|||||
