Confusion matrix | Random Forest | Logistic regression | KNN model | ||||
---|---|---|---|---|---|---|---|
Predicted | Predicted | Predicted | |||||
Alive | Dead | Alive | Dead | Alive | Dead | ||
Observed | Alive | 698 | 343 | 632 | 418 | 475 | 566 |
Dead | 12 | 28 | 16 | 24 | 14 | 26 | |
% | % | % | |||||
Accuracy | 67.2 | 59.9 | 46.3 | ||||
Sensitivity | 98.3 | 97.5 | 97.1 | ||||
Specificity | 7.5 | 5.34 | 4.4 | ||||
Positive predictive value | 70.0 | 59.9 | 45.6 | ||||
Negative predictive value | 67.0 | 60.0 | 65.0 | ||||
AUC | 72.0 | 66.1 | 55.5 |