模型 | 4分类 | |
准确率 | 单个样本识别时间(s) | |
KNN | 34.9% | 0.0937 |
SVM | 37.6% | 0.0781 |
ADA | 43.0% | 0.156 |
RF | 48.3% | 0.154 |
GBDT | 49.7% | 0.147 |
CNN | 51.3% | 0.517 |
1D-CNN + RF | 82.1% | 0.422 |
1D-CNN + ADA | 69.9% | 0.453 |
1D-CNN + GBDT | 96.2% | 0.420 |