Table 8 Performance of gradually reduced set of variables for the PDA data set.
From: Decision making on vestibular schwannoma treatment: predictions based on machine-learning analysis
Variables | Train and validation (Avg, %) | Test (%) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Set | Number | ACC | PPV | TPR | TNR | AUC | ASE | ACC | PPV | TPR | TNR | AUC | ASE |
PDA | 24 | 87 | 84 | 92 | 82 | 88 | 12 | 82 | 79 | 89 | 75 | 81 | 16 |
PDAEXPINI | 8 | 87 | 84 | 92 | 82 | 88 | 12 | 82 | 79 | 89 | 75 | 81 | 16 |
PDAEXPFIN | 4 | 87 | 85 | 92 | 82 | 90 | 11 | 82 | 79 | 89 | 75 | 81 | 16 |
PDACLASS | 24 | 85 | 82 | 91 | 79 | 83 | 14 | 90 | 88 | 95 | 86 | 100 | 10 |
