Table 3 Confusion matrices showing the proportion of accurate predictions based on EM, FBG-sampling, and approximate sampling methods on 500 simulated datasets
From: Fast MCMC sampling for hidden markov models to determine copy number variations
| Â | Â | Â | Truth | Â |
|---|---|---|---|---|
| Â | Â | Loss | Neutral | Gain |
| Â | Loss | 0.855 | 0.071 | 0.074 |
EM | Neutral | 0.001 | 0.996 | 0.003 |
| Â | Gain | 0.190 | 0.087 | 0.723 |
| Â | Loss | 0.980 | 0.020 | 0.000 |
FBG | Neutral | 0.002 | 0.995 | 0.003 |
| Â | Gain | 0.002 | 0.020 | 0.973 |
| Â | Loss | 0.981 | 0.019 | 0.000 |
Approx. (w = 1.25σ D ) | Neutral | 0.002 | 0.993 | 0.005 |
| Â | Gain | 0.009 | 0.022 | 0.969 |