Table 7 Diagnostic results.
From: Explainable AI for post-hoc and pseudo-post-hoc predictive maintenance of governor valve actuators
Model | Decision Tree | Random Forest | Catboost | LightGBM | XGboost |
|---|---|---|---|---|---|
\(A{\text{cc1(\% )}}\) | 100.000 | 100.000 | 100.000 | 99.286 | 99.286 |
\(A{\text{cc2(\% )}}\) | 99.643 | 99.643 | 99.643 | 99.643 | 99.643 |
\(A{\text{cc3(\% )}}\) | 100.000 | 100.000 | 100.000 | 99.643 | 99.643 |
\(A{\text{cc4(\% )}}\) | 99.643 | 100.000 | 100.000 | 99.643 | 100.000 |
\(A{\text{cc5(\% )}}\) | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 |
\(\overline {{Acc}} (\% )\) | 99.857 | 99.929 | 99.929 | 99.643 | 99.714 |
\(Time(s)\) | 0.005 | 0.234 | 0.417 | 0.330 | 0.079 |
