Table 5 The results of each classifier
From: Cyclist detection and tracking based on multi-layer laser scanner
Classifier | Real label | Test result | AUC | |
|---|---|---|---|---|
Cyclist | Non-cyclist | |||
SVM + F | Cyclist | 889 (88.9%) | 111 (11.1%) | 0.9642 |
Non-cyclist | 165 (16.5%) | 835 (83.5%) | ||
SVM + FP | Cyclist | 953 (95.3%) | 47 (0.47%) | 0.9754 |
Non-cyclist | 91 (0.91%) | 909 (90.9%) | ||
SVM + FR | Cyclist | 912 (91.2%) | 88 (0.88%) | 0.9697 |
Non-cyclist | 84 (0.84%) | 916 (91.6%) | ||
DT + F | Cyclist | 860 (86%) | 140 (14%) | 0.9344 |
Non-cyclist | 218 (21.8%) | 782 (78.2%) | ||
DT + FP | Cyclist | 906 (90.6%) | 94 (94%) | 0.9684 |
Non-cyclist | 156 (15.6%) | 844 (84.4%) | ||
DT + FR | Cyclist | 912 (91.2%) | 88 (0.88%) | 0.9721 |
Non-cyclist | 102 (1.02%) | 898 (89.8%) | ||