From: Detecting alpha spindle events in EEG time series using adaptive autoregressive models
 | Full data | Training data | Testing data | |||
---|---|---|---|---|---|---|
 | Data 1 | Data 2 | Data 1 | Data 2 | Data 1 | Data 2 |
Sensitivity/Recall | .957 | .876 | .959 | .914 | .952 | .904 |
Specificity | .981 | .964 | .974 | .958 | .989 | .934 |
Precision | .704 | .620 | .706 | .660 | .701 | .400 |
Hit Rate | 97.16% (137/141) | 94.36% (184/195) | 100% (96/96) | 95.38% (124/130) | 91.11% (41/45) | 93.85% (61/65) |
Spindle Temporal Error | ~52Â ms | ~114Â ms | ~50Â ms | ~77Â ms | ~40Â ms | ~96Â ms |
Agreement | 165.422Â s | 157.008Â s | 114.539Â s | 106.688Â s | 50.833Â s | 59.047Â s |
Null Agreement | 3635.516Â s | 2584.453Â s | 1167.875Â s | 1257.414Â s | 1866.859Â s | 1275.273Â s |
False Negative | 7.438Â s | 22.195Â s | 4.875Â s | 9.984Â s | 2.563Â s | 6.273Â s |
False Positive | 69.625Â s | 96.344Â s | 47.720Â s | 54.922Â s | 21.703Â s | 89.414Â s |