ModelNumb |
Accuracy |
Kappa |
AccuracyLower |
AccuracyUpper |
AccuracyNull |
AccuracyPValue |
McnemarPValue |
Sensitivity |
Specificity |
Pos Pred Value |
Neg Pred Value |
Precision |
Recall |
F1 |
Prevalence |
Detection Rate |
Detection Prevalence |
Balanced Accuracy |
Model1 |
0.8707483 |
0.4191632 |
0.8525159 |
0.8874842 |
0.9095238 |
0.9999996 |
0.0e+00 |
0.8900524 |
0.6766917 |
0.9651257 |
0.3797468 |
0.9651257 |
0.8900524 |
0.9260700 |
0.9095238 |
0.8095238 |
0.8387755 |
0.7833720 |
Model2 |
0.8455782 |
0.3529603 |
0.8260781 |
0.8636860 |
0.8857143 |
0.9999985 |
6.4e-06 |
0.8863287 |
0.5297619 |
0.9359286 |
0.3755274 |
0.9359286 |
0.8863287 |
0.9104536 |
0.8857143 |
0.7850340 |
0.8387755 |
0.7080453 |
Model3 |
0.8571429 |
0.2936476 |
0.8382017 |
0.8746440 |
0.9394558 |
1.0000000 |
0.0e+00 |
0.8703838 |
0.6516854 |
0.9748581 |
0.2447257 |
0.9748581 |
0.8703838 |
0.9196634 |
0.9394558 |
0.8176871 |
0.8387755 |
0.7610346 |
Model4 |
0.8619048 |
0.3676334 |
0.8432050 |
0.8791447 |
0.9156463 |
1.0000000 |
0.0e+00 |
0.8826152 |
0.6370968 |
0.9635036 |
0.3333333 |
0.9635036 |
0.8826152 |
0.9212873 |
0.9156463 |
0.8081633 |
0.8387755 |
0.7598560 |