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Table 4 Machine learning algorithms results UCI heart disease

From: Machine learning-based identification of patients with a cardiovascular defect

Metrics XGBoost AdaBoost Gradient Boost Extra Trees LightGbm SGDC Nu svc Stacking algorithm
Accuracy 92.37 91.66 90.27 94.44 94.44 92.36 93.75 95.83
Specificity 92.24 93.24 90.54 94.59 94.59 91.89 93.24 94.59
Precision 92 90.98 90.54 94.59 94.59 93.15 94.52 97
Recall 93.24 93.24 90.54 94.59 94.59 91.89 93.24 95
F score 92.61 92 90.54 94.59 94.59 92.51 93.87 96