Table 2 Definition of true positive, false positive, true negative and false negative
From: The application of unsupervised deep learning in predictive models using electronic health records
Predicted Value | Measures | ||||
|---|---|---|---|---|---|
1 | 0 | ||||
True Value | 1 | true positive (a) | false negative (c) | Sensitivity: a/(a + c) | Recall: a/(a + c) |
0 | false positive (b) | true negative (d) | Specificity: d/(d + b) | ||
Measures | PPV: a/(a + b) | NPV: d/(c + d) | |||
Precision: a/(a + b) | |||||