Skip to main content

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

From: A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays

   HierNB Classifier StNB Classifier
Exp σ 2 2 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
  1. Exp = experiment number, Acc = Accuracy, Brier = Brier Score. In brackets the 95% confidence intervals for the estimate of the accuracy.