Light Gradient Boosting Machine |
0.715 |
0.6000 |
0.6500 |
0.6917 |
0.6357 |
0.4380 |
0.4748 |
0.6822 |
0.228 |
Logistic Regression |
0.670 |
0.6500 |
0.7500 |
0.6167 |
0.6633 |
0.3478 |
0.3742 |
0.7144 |
0.331 |
Ridge Classifier |
0.670 |
0.6167 |
0.7500 |
0.6167 |
0.6633 |
0.3478 |
0.3742 |
0.0000 |
0.180 |
Naive Bayes |
0.650 |
0.6333 |
0.6833 |
0.5917 |
0.6257 |
0.2969 |
0.3112 |
0.6978 |
2.694 |
Quadratic Discriminant Analysis |
0.610 |
0.6333 |
0.4667 |
0.5333 |
0.4733 |
0.2256 |
0.2488 |
0.7033 |
0.158 |
Linear Discriminant Analysis |
0.605 |
0.6000 |
0.7000 |
0.5900 |
0.6105 |
0.2372 |
0.2577 |
0.6594 |
0.110 |
CatBoost Classifier |
0.595 |
0.6167 |
0.6167 |
0.5500 |
0.5600 |
0.2165 |
0.2207 |
0.6861 |
12.075 |
Extra Trees Classifier |
0.590 |
0.6000 |
0.5833 |
0.5000 |
0.5300 |
0.2103 |
0.2167 |
0.6811 |
0.775 |
SVM - Linear Kernel |
0.585 |
0.6500 |
0.5333 |
0.4667 |
0.4521 |
0.1429 |
0.1690 |
0.0000 |
0.217 |
K Neighbors Classifier |
0.565 |
0.6292 |
0.5000 |
0.5750 |
0.5057 |
0.1413 |
0.1469 |
0.6717 |
0.685 |
Random Forest Classifier |
0.555 |
0.5667 |
0.5833 |
0.5167 |
0.5233 |
0.1524 |
0.1540 |
0.6211 |
0.847 |
Dummy Classifier |
0.540 |
0.5000 |
0.0000 |
0.0000 |
0.0000 |
0.0000 |
0.0000 |
0.4600 |
0.165 |
Ada Boost Classifier |
0.510 |
0.4417 |
0.5667 |
0.4650 |
0.4971 |
0.0656 |
0.0275 |
0.5819 |
0.645 |
Decision Tree Classifier |
0.495 |
0.5000 |
0.4333 |
0.4333 |
0.4133 |
0.0049 |
0.0040 |
0.5483 |
0.329 |
Gradient Boosting Classifier |
0.475 |
0.4333 |
0.4500 |
0.4000 |
0.4033 |
-0.0033 |
-0.0239 |
0.5800 |
0.643 |
Extreme Gradient Boosting |
0.460 |
0.4833 |
0.4333 |
0.3333 |
0.3667 |
-0.0489 |
-0.0537 |
0.6281 |
0.422 |