Table 5 Comparison of performance metrics for the nomogram and machine learning models
From: Construction of the XGBoost model for early lung cancer prediction based on metabolic indices
Parameters | Nomogram | Machine learning model |
|---|---|---|
True positive | 113 | 122 |
False positive | 47 | 38 |
True negative | 61 | 70 |
False negative | 34 | 25 |
Sensitivity | 0.71 | 0.74 |
Specificity | 0.64 | 0.76 |
AUC | 0.74 | 0.81 |
F1 score | 0.74 | 0.79 |
Accuracy (%) | 68.24 | 75.29 |