Overview of the experimental setup (IMAGE)
Caption
Step 1 was selecting the training cohort (n = 184) and the internal validation cohort (n = 62) by random seeds; Step 2 was selecting the optimal parameters through five times ten-fold cross-validation; Step 3 was the training of the final model with optimal parameters on the entire training data by the LR and ML ; Step 4 was validating the models of step 3 with the predictive ability and discrimination. GLM, Generalized linear model; LR, Logistic regression; ML, Machine learning; SVM, Support vector machines; RF, Random forests; ANN, Artificial neural networks; GBM, Gradient boosting machines; AUC, Areas under the receiver-operator characteristic curve.
Credit
Zi-Han Geng, et al.
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License
CC BY-NC-ND