Leveraging machine learning techniques for predicting pancreatic neuroendocrine tumor grades using biochemical and tumor markers

Table 3 The highest F1 score, recall rate and precision rate scores of different models

	F1 score	Recall rate	Precision rate
LR	0.80	0.80	0.81
SVM	0.81	0.81	0.82
Linear SVM	0.82	0.82	0.84
LDA-eigen1	0.85	0.85	0.86
LDA-lsqr1	0.85	0.85	0.86
LDA-svd	0.82	0.82	0.84
MLP	0.82	0.81	0.84

¹Values over 0.85. LR: Logistic regression; SVM: Support vector machine; LDA: Linear discriminant analysis; MLP: Multilayer perceptron.