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. 2023 Jun 22;61:102051. doi: 10.1016/j.eclinm.2023.102051

Table 2.

The performance metrics of comparing between AI model vs clinicians.

Precision Recall F1 score Accuracy
XGBoost model 0.9269 0.9300 0.9264 0.9300
Ensemble modela 0.9291 0.9300 0.9269 0.9300
Doctor without training 0.7562 0.3400 0.3651 0.3400
Junior neurologist 0.7528 0.6600 0.6893 0.6600
Senior neurologist 0.7689 0.7500 0.7582 0.7500

Abbreviations: XGBoost, extreme gradient boosting.

a

Ensemble model is composed of 80% of XGBoost and 20% of TabNet.