Table 1.
Classification performance of the algorithm versus the ground truth events for Driving Data 1 for three data conditions: the full data without partitioning, the training data and the testing data, respectively
| Full data | Training data | Testing data | |
|---|---|---|---|
|
Sensitivity/Recall |
.915 |
.895 |
.863 |
|
Specificity |
.966 |
.966 |
.984 |
|
Precision |
.536 |
.612 |
.581 |
|
Hit Rate |
97.87% (138/141) |
100% (96/96) |
93.33% (42/45) |
|
Spindle Temporal Error |
~96 ms |
~120 ms |
~150 ms |
|
Agreement |
146.430 s |
98.617 s |
43.055 s |
|
Null Agreement |
3591.156 s |
1762.414 s |
1861.141 s |
|
False Negative |
13.586 s |
11.531 s |
6.813 s |
| False Positive | 126.828 s | 62.445 s | 31.000 s |
A fuzzy window parameter of 0 s was used.