Table 21 McNemar test
From: A diabetes prediction model based on Boruta feature selection and ensemble learning
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
|---|---|---|---|---|---|---|---|---|---|---|
LR | 0.0002 | 0.0100 | 0.0650 | 0.1090 | 0.0120 | 0.0100 | 0.0004 | 0.0009 | 0.0210 | 0.0010 |
KNN | 7.62e−05 | 6.10e−05 | 0.0070 | 0.0110 | 0.0070 | 0.1430 | 3.81e−06 | 1.90e−06 | 0.0100 | 0.0009 |
SVM | 0.0004 | 0.0002 | 0.0380 | 0.0700 | 0.0200 | 0.0650 | 0.5400 | 0.0200 | 0.0004 | 0.0009 |
NB | 0.1250 | 0.015 | 0.1090 | 0.0310 | 0.0100 | 0.0300 | 0.1090 | 0.0300 | 0.0004 | 0.0700 |
DT | 0.2500 | 0.5000 | 0.0300 | 0.1250 | 0.0150 | 0.0300 | 0.0380 | 0.6870 | 0.0070 | 0.0002 |
RF | 4.005e−05 | 1.90e−06 | 0.0030 | 0.0009 | 2.38e−07 | 1.19e−07 | 7.62e−06 | 1.52e−05 | 1.90e−06 | 6.10e−05 |