Method | Az | σ | SE |
---|
LR | 0.791 | 0.028 | 0.008 |
LRint | 0.814 | 0.027 | 0.008 |
k | 0.958 | 0.013 | 0.004 |
kx1 | 0.867 | 0.023 | 0.007 |
kx2 | 0.728 | 0.031 | 0.009 |
x1 | 0.490 | 0.035 | 0.011 |
x2 | 0.772 | 0.029 | 0.009 |
- This table gives the area under the receiver operator characteristic curve (Az) quantities derived from the training dataset for the standard logistic regression model with x1 and x2 (LR), the logistic regression model with x1 and x2 with x1 × x2 interaction (LRint), the statistical learning (SL) techniques using a kernel mapping with x1 and x2 simultaneously (k), and partial SL-kernel models using x1 (kx1) and x2 (kx2) individually. This also gives the Az quantities for the x1 and x2 case-control training distribution samples estimated without using model processing. Az and σ are the respective means and standard deviations summarized from the bootstrap trials. SE is the standard error in Az.