Light Gradient Boosting Machine |
0.7091 |
0.6267 |
0.64 |
0.6895 |
0.6467 |
0.4056 |
0.4224 |
0.5918 |
0.322 |
Naive Bayes |
0.6545 |
0.6800 |
0.72 |
0.6117 |
0.6498 |
0.3163 |
0.3232 |
0.6930 |
1.240 |
K Neighbors Classifier |
0.6364 |
0.6467 |
0.56 |
0.6067 |
0.5743 |
0.2603 |
0.2660 |
0.6001 |
0.864 |
Ridge Classifier |
0.6364 |
0.6467 |
0.64 |
0.5962 |
0.6048 |
0.2700 |
0.2835 |
0.0000 |
0.898 |
Random Forest Classifier |
0.6364 |
0.6300 |
0.60 |
0.6343 |
0.6013 |
0.2688 |
0.2834 |
0.6539 |
0.906 |
Logistic Regression |
0.6364 |
0.6400 |
0.64 |
0.5962 |
0.6048 |
0.2700 |
0.2835 |
0.6697 |
0.798 |
Quadratic Discriminant Analysis |
0.6364 |
0.6933 |
0.72 |
0.5851 |
0.6353 |
0.2815 |
0.2899 |
0.7075 |
0.418 |
Linear Discriminant Analysis |
0.6364 |
0.6467 |
0.64 |
0.5962 |
0.6048 |
0.2700 |
0.2835 |
0.6751 |
0.364 |
Gradient Boosting Classifier |
0.6182 |
0.6333 |
0.60 |
0.5843 |
0.5846 |
0.2328 |
0.2389 |
0.6403 |
0.522 |
Ada Boost Classifier |
0.6182 |
0.6567 |
0.60 |
0.5943 |
0.5891 |
0.2340 |
0.2415 |
0.6517 |
0.560 |
Extra Trees Classifier |
0.6182 |
0.5800 |
0.56 |
0.5876 |
0.5622 |
0.2266 |
0.2347 |
0.6413 |
0.468 |
Decision Tree Classifier |
0.6000 |
0.5967 |
0.56 |
0.5867 |
0.5533 |
0.1950 |
0.2060 |
0.5215 |
1.532 |
CatBoost Classifier |
0.5818 |
0.6667 |
0.48 |
0.5133 |
0.4845 |
0.1454 |
0.1414 |
0.6991 |
3.426 |
SVM - Linear Kernel |
0.5455 |
0.5000 |
0.40 |
0.5033 |
0.4332 |
0.0684 |
0.0685 |
0.0000 |
1.666 |
Dummy Classifier |
0.5455 |
0.5000 |
0.00 |
0.0000 |
0.0000 |
0.0000 |
0.0000 |
0.4545 |
0.456 |
Extreme Gradient Boosting |
0.5273 |
0.5600 |
0.52 |
0.4967 |
0.5042 |
0.0550 |
0.0564 |
0.5943 |
0.336 |