Table 4 Statistical summary of predictive performances for baseline and meta-selection strategies
From: Automated model selection for multivariate anomaly detection in manufacturing systems
Mean | SD | Min | 25% | 50% | 75% | Max | |
|---|---|---|---|---|---|---|---|
Tr-1-Sel | 0.244 | 0.196 | 0.000 | 0.086 | 0.240 | 0.368 | 0.889 |
Tr-3-Sel | 0.248 | 0.176 | 0.000 | 0.111 | 0.258 | 0.356 | 0.872 |
Tr-2-Sel | 0.251 | 0.186 | 0.000 | 0.099 | 0.258 | 0.362 | 0.846 |
Te-1-Sel | 0.255 | 0.189 | 0.000 | 0.143 | 0.262 | 0.323 | 0.953 |
Meta-M-Sel | 0.300 | 0.204 | 0.000 | 0.150 | 0.324 | 0.408 | 0.966 |
Meta-S-Sel | 0.352 | 0.211 | 0.000 | 0.209 | 0.383 | 0.466 | 0.989 |
Optimum | 0.378 | 0.213 | 0.011 | 0.236 | 0.406 | 0.495 | 0.989 |