Skip to main content
. 2022 Oct 31;58(11):1568. doi: 10.3390/medicina58111568

Table 5.

Excluded models based on overfitting or accuracy.

Model Name Precision Recall Train Accuracy Test Accuracy F1 Score AUC
Decision Tree 1.00 1.00 1.00 1.00 1.00 1.000000
Random Forest 1.00 1.00 1.00 1.00 1.00 0.999827
Logistic Regression 0.94 0.98 0.97 0.97 0.96 0.971884
Ada Boost 1.00 1.00 1.00 1.00 1.00 1.000000
Bagging 1.00 1.00 1.00 1.00 1.00 1.000000
Gradient Boosting 1.00 1.00 1.00 1.00 1.00 1.000000
XGB 1.00 1.00 1.00 1.00 1.00 1.000000
SVC 0.82 0.49 0.77 0.77 0.61 0.710974
K-Neighbors 0.85 0.95 0.95 0.92 0.90 0.926795
Gaussian 1.00 0.98 0.99 0.99 0.99 0.992494