Table 4 Confusion matrices for classifiers with the best area under the receiver-operator curve (AUROC) among nulliparous patients, with the threshold set to match a 50% true positive rate
From: Validation of sleep-based actigraphy machine learning models for prediction of preterm birth
(a) Actigraphy/Logistic Regresssion | ||
---|---|---|
 | PN | PP |
TN | 0.674 | 0.222 |
TP | 0.069 | 0.034 |
(b) Case Reports/Logistic Regression | ||
---|---|---|
 | PN | PP |
TN | 0.697 | 0.200 |
TP | 0.069 | 0.034 |
(c) All/Logistic Regression | ||
---|---|---|
 | PN | PP |
TN | 0.683 | 0.214 |
TP | 0.069 | 0.034 |