Table 4 c1 and p Parameter Optimization; Stronger Correlation; 200 Samples
From: Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
| Â | Â | p | |||
|---|---|---|---|---|---|
| Â | Â | 1.0 | 2.0 | 3.0 | 4.0 |
c 1 | 0.0 | 0.606 | 0.668 | 0.672 | 0.660 |
| Â | 1.0 | 0.661 | 0.740 | 0.751 | 0.751 |
| Â | 2.0 | 0.686 | 0.777 | 0.801 | 0.790 |
| Â | 3.0 | 0.718 | 0.804 | 0.824 | 0.812 |
| Â | 4.0 | 0.736 | 0.823 | 0.839 | 0.822 |
| Â | 5.0 | 0.753 | 0.836 | 0.850 | 0.857 |
| Â | 6.0 | 0.771 | 0.841 | 0.854 | 0.836 |