基于事件相关电位(ERPs)和机器学习的考试焦虑诊断 *
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章文佩, 沈群伦, 宋锦涛, 周仁来
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Classification of test-anxious individuals using Event-Related Potentials (ERPs): The effectiveness of machine learning algorithms
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ZHANG Wenpei, SHEN Qunlun, SONG Jintao, ZHOU Renlai
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表2 不同机器学习模型的结果对比
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| 机器学习模型 | 准确率 | 查准率 | 查全率 | F1-score | | 卷积神经网络(CNN) | 86.5% | 84.0% | 100% | 0.911 | | 逻辑回归(Logistic Regression) | 80.3% | 83.6% | 91.4% | 0.868 | | K近邻(KNN) | 71.8% | 71.3% | 100.0% | 0.817 | | 支持向量机(SVM) | 79.0% | 78.6% | 96.4% | 0.865 | | 随机森林(Random Forest) | 73.1% | 78.7% | 84.2% | 0.814 | | 人工神经网络(ANN) | 82.7% | 84.6% | 92.9% | 0.882 | | 循环神经网络(RNN) | 79.2% | 77.0% | 100% | 0.870 |
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