| 模型 | 数据集 | 损失值 | 召回率 | 准确率 | 精确率 | F1指数 | 训练耗时 |
| 1D-CNN | 训练集 | 0.6431 | 73.14% | 77.99% | 83.34% | 0.7791 | 493分钟 |
| 1D-CNN | 测试集 | 0.4446 | 79.93% | 85.43% | 90.55% | 0.8491 | / |
| LSTM | 训练集 | 0.1497 | 94.75% | 95.39% | 96.17% | 0.9545 | 1642分钟 |
| LSTM | 测试集 | 0.0952 | 96.58% | 96.88% | 93.77% | 0.9695 | / |
| 1D-CNN-RNN | 训练集 | 0.0607 | 98.01% | 98.19% | 98.42% | 0.9821 | 672分钟 |
| 1D-CNN-RNN | 测试集 | 0.0340 | 98.88% | 98.96% | 99.04% | 0.9896 | / |