PMC:7782580 / 36027-36459 JSONTXT

{"project":"LitCovid-sentences","denotations":[{"id":"T275","span":{"begin":56,"end":214},"obj":"Sentence"},{"id":"T276","span":{"begin":215,"end":333},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"evaluate the performance of the classification model50. The ROC is a probability curve that shows the trade-off between the true positive rate (TPR) and false-positive rate (FPR) using different threshold settings. The AUROC provides a measure of separability and demonstrated the discriminative capacity of the classification model. The larger the AUROC, the better the performance of the model is for predicting the true positive "}