Table 3 Predictive performance indicators of the four kernel functions

From: Prediction of 30-day risk of acute exacerbation of readmission in elderly patients with COPD based on support vector machine model

Evaluation index	Training set				Test set
Evaluation index	Linear-SVM	Polynomial-SVM	Sigmoid-SVM	RBF-SVM	Linear-SVM	Polynomial-SVM	Sigmoid-SVM	RBF-SVM
Precision (%)	69.89	78.07	79.37	84.21	86.36	87.50	80.77	88.24
Recall (%)	50.78	69.53	78.74	88.19	51.35	75.68	56.76	81.08
Accuracy (%)	83.92	88.69	90.81	93.82	85.11	90.78	85.11	92.20
F1 index	0.59	0.74	0.79	0.86	0.64	0.81	0.67	0.85
AUC	0.722	0.819	0.866	0.918	0.742	0.858	0.759	0.885

AUC area under the ROC curve, SVM support vector machine

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