Table 11.
Method | MCC | F1 score | Accuracy | TP rate | TN rate | PR AUC | ROC AUC |
---|---|---|---|---|---|---|---|
Logistic regression | blue+0.616* | blue0.719* | blue0.838* | blue0.785* | blue0.860* | blue0.617* | blue0.822* |
(EF, SR, & FU) | |||||||
Logistic regression | +0.607 | 0.714 | 0.833 | 0.780 | 0.856 | 0.612 | 0.818 |
(all features) |
Top row: logistic regression using only ejection fraction (EF), serum creatinine (SC), and follow-up time month (FU). Bottom row: logistic regression using all features. MCC: Matthews correlation coefficient. TP rate: true positive rate (sensitivity, recall). TN rate: true negative rate (specificify). Confusion matrix threshold for MCC, F1 score, accuracy, TP rate, TN rate: τ=0.5. PR: precision-recall curve. ROC: receiver operating characteristic curve. AUC: area under the curve. MCC: worst value = –1 and best value = +1. F1 score, accuracy, TP rate, TN rate, PR AUC, ROC AUC: worst value = 0 and best value = 1. MCC, F1 score, accuracy, TP rate, TN rate, PR AUC, ROC AUC formulas: Additional file 1 (“Binary statistical rates” section). We reported bluein blue and with ∗ the top results for each score.