| 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 |