Table 5 Validation set evaluation metrics.

From: Machine learning prediction of STEMI incidence with SHAP interpretation of environmental determinants

Model

AUC

Accuracy

Precision

Recall

F1

LightGBM

0.8395 ± 0.0026

0.9110 ± 0.0010

0.3231 ± 0.0390

0.1562 ± 0.0014

0.2106 ± 0.0031

KNN

0.7547 ± 0.0023

0.8856 ± 0.0015

0.2587 ± 0.0200

0.2708 ± 0.0020

0.2746 ± 0.0050

Naive Bayes

0.6975 ± 0.0020

0.8101 ± 0.0020

0.1482 ± 0.0020

0.3160 ± 0.0060

0.2018 ± 0.0020

AdaBoost

0.8274 ± 0.0010

0.9240 ± 0.0020

0.4666 ± 0.4521

0.0004 ± 0.0004

0.0007 ± 0.0008

XGBoost

0.8386 ± 0.0025

0.9201 ± 0.0012

0.3364 ± 0.0480

0.0521 ± 0.0002

0.0901 ± 0.0004

SGBT

0.8368 ± 0.0015

0.9230 ± 0.0010

0.3423 ± 0.0032

0.0136 ± 0.0001

0.0262 ± 0.0007

LR

0.7959 ± 0.0025

0.9146 ± 0.0010

0.2566 ± 0.0190

0.0654 ± 0.0002

0.1040 ± 0.0004

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