| Model | Acca | AUCb | Recall | Prec.c | F1 | TTd |
---|---|---|---|---|---|---|---|
LR | Logistic Regression | 0.7015 | 0.7376 | 0.6186 | 0.7436 | 0.6752 | 2.410 |
LDA | Linear Discriminant Analysis | 0.7025 | 0.7370 | 0.5781 | 0.7712 | 0.6605 | 0.008 |
Ada Boost | Ada Boost Classifier | 0.6964 | 0.7347 | 0.6248 | 0.7315 | 0.6737 | 0.030 |
NB | Naive Bayes | 0.6843 | 0.7305 | 0.5823 | 0.7345 | 0.6492 | 0.006 |
RF | Random Forest Classifier | 0.6772 | 0.7301 | 0.6267 | 0.6980 | 0.6601 | 0.196 |
CatBoost | CatBoost Classifier | 0.6853 | 0.7272 | 0.5800 | 0.7398 | 0.6490 | 0.674 |
XGBoost | Extreme Gradient Boosting | 0.6761 | 0.7184 | 0.5900 | 0.7159 | 0.6451 | 0.402 |
QDA | Quadratic Discriminant Analysis | 0.6772 | 0.7171 | 0.5701 | 0.7267 | 0.6387 | 0.008 |
ET | Extra Trees Classifier | 0.6690 | 0.7155 | 0.6064 | 0.6947 | 0.6469 | 0.178 |
GBC | Gradient Boosting Classifier | 0.6914 | 0.7147 | 0.5761 | 0.7507 | 0.6516 | 0.028 |
LightGBM | Light Gradient Boosting Machine | 0.6843 | 0.7146 | 0.5962 | 0.7260 | 0.6541 | 0.258 |
KNN | K Neighbors Classifier | 0.6569 | 0.7058 | 0.5537 | 0.7001 | 0.6162 | 0.422 |
DT | Decision Tree Classifier | 0.6548 | 0.6522 | 0.5618 | 0.6956 | 0.6201 | 0.006 |
Dummy | Dummy Classifier | 0.4975 | 0.5000 | 0.4000 | 0.1990 | 0.2658 | 0.006 |
SVM | SVM - Linear Kernel | 0.5513 | 0.0000 | 0.9091 | 0.5393 | 0.6700 | 0.010 |
Ridge | Ridge Classifier | 0.7025 | 0.0000 | 0.5781 | 0.7712 | 0.6605 | 0.006 |