Research Article
A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer
Table 5
Results of a DBN-DS confusion matrix comparing the training and validation sets.
| | Variable | Training set | Validation set | Sensitivity | Specificity | Accuracy | Sensitivity | Specificity | Accuracy |
| DBN#1 | Initial PSA | 38.57% | 91.39% | 70.78% | 41.93% | 88.68% | 70.60% | DBN#2 | Gleason score | 32.51% | 89.18% | 67.26% | 37.00% | 88.47% | 68.56% | DBN#3 | Clinical T stage | 21.19% | 94.20% | 65.96% | 26.23% | 93.85% | 67.69% | DBN#1, DBN#2 | Initial PSA, Gleason score | 41.48% | 93.71% | 73.50% | 41.48% | 93.00% | 73.07% | DBN#1, DBN#3 | Initial PSA, Clinical T stage | 40.02% | 94.55% | 73.46% | 40.02% | 93.85% | 73.03% | DBN#2, DBN#3 | Gleason score, Clinical T stage | 34.19% | 94.91% | 71.42% | 34.19% | 93.49% | 70.56% | DBN#1, DBN#2, DBN#3 (proposed) | Initial PSA, Gleason score, Clinical T stage | 65.13% | 94.29% | 82.60% | 61.77% | 93.56% | 81.27% |
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