Table 3. Internal Validation Metrics Reported as TPR % and TNR % for Individual Systems in the Bound/Unbound Statesa.
|
original
training set |
extended training set |
|||
---|---|---|---|---|---|
ML models | TRAP1 complexes | TPR % (state I) | TNR % (state A) | TPR % (state I) | TNR % (state A) |
GNB | 5 | 71.4 | 49.8 | ||
7 | 63.0 | 52.0 | |||
6 | 61.2 | 62.1 | |||
inhibitor-free (rep. 1–3) | 69.9 | 75.1 | |||
inhibitor-free (rep.4–6) | 84.5 | 80.3 | |||
inhibitor-free (rep.7–9) | 90.0 | 80.2 | |||
KNB | 5 | 70.9 | 78.3 | ||
7 | 94.2 | 63.9 | |||
6 | 66.6 | 68.8 | |||
inhibitor-free (rep. 1–3) | 70.1 | 69.5 | |||
inhibitor-free (rep.4–6) | 89.6 | 83.4 | |||
inhibitor-free (rep.7–9) | 82.9 | 78.4 | |||
GDF-SVM | 5 | 92.5 | 90.9 | ||
7 | 97.3 | 93.7 | |||
6 | 95.4 | 91.3 | |||
inhibitor-free (rep. 1–3) | 95.7 | 92.7 | |||
inhibitor-free (rep.4–6) | 98.4 | 96.7 | |||
inhibitor-free (rep.7–9) | 92.5 | 89.7 |
Percentages are shown over chunks of 12 000 (original training set) or 18 000 (extended training set) frames. Models trained on the entire training set were used to make predictions.