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. 2021 Jun 28;8:663509. doi: 10.3389/fcvm.2021.663509

Table 2.

Comparison of the diagnostic efficacy of three different supervised learning models.

Model Precision Recall F1-score Accuracy Error KS
Random forest 0.69 0.90 0.78 0.75 0.25 0.70
Logistic regression 0.80 0.80 0.80 0.80 0.20 0.60
Support vector classification 0.80 0.80 0.80 0.80 0.20 0.60