| 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 |