Table 7 Sample classification results of Logistic regression model, Random Forest model and Convolutional neural network model [N (%)]
From: Development and internal validation of risk prediction model of metabolic syndrome in oil workers
Model | predictive value | Actual value | Â | |
|---|---|---|---|---|
Yes | No | Total | ||
Logistic regression model | Yes | 766(87.94) | 152(25.46) | 918 |
No | 105(12.06) | 445(74.54) | 550 | |
Total | 871 | 597 | 1468 | |
Random forest model | Yes | 832(95.52) | 20(3.35) | 852 |
No | 39(4.48) | 577(96.65) | 616 | |
Total | 871 | 597 | 1468 | |
CNN | Yes | 789(90.59) | 35(5.86) | 824 |
No | 82(9.41) | 562(94.14) | 644 | |
Total | 871 | 597 | 1468 | |