Table 1. Performance measures (AC, accuracy; FS, F1 score; KP, Kappa statistic) across all classifiers and class distributions for dynamic data, forward roadway vs. center stack.
| Original dataset | Balanced dataset | |||||
|---|---|---|---|---|---|---|
| AC | FS | KP | AC | FS | KP | |
| k-nearest neighbor | 0.93 | 0.19 | 0.16 | 0.80 | 0.80 | 0.59 |
| Random forest | 0.86 | 0.30 | 0.24 | 0.79 | 0.78 | 0.59 |
| Multilayer perceptron | 0.78 | 0.29 | 0.22 | 0.80 | 0.82 | 0.59 |
| Hidden Markov model | 0.84 | 0.28 | 0.22 | 0.83 | 0.68 | 0.57 |