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results
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| Model | Holdout Original | Holdout Oversampling | Holdout SMOTE | Holdout class-weight=balanced | KFold Original | KFold Oversampling | KFold SMOTE | KFold class-weight=balanced|
| :------------- | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: |
| Decision Tree | 0.706 (0.607) | 0.733 (0.655) | 0.706 (0.645) | 0.747 (0.698) | 0.790 (0.560) | 0.794 (0.687) | 0.754 (0.598) | 0.785 (0.664) |
| Random Forest | 0.707 (0.577) | 0.787 (0.733) | 0.747 (0.667) | 0.733 (0.642) | 0.803 (0.625) | 0.808 (0.683) | 0.794 (0.654) | 0.799 (0.617) |
| Linear Regression | 0.667 (0.444) | 0.693 (0.635) | 0.707 (0.633) | - | 0.776 (0.508) | 0.727 (0.611) | 0.750 (0.614) | - |
| Logistic Regression | 0.667 (0.444) | 0.707 (0.645) | 0.733 (0.667) | 0.707 (0.645) | 0.772 (0.501) | 0.736 (0.607) | 0.759 (0.63) | 0.740 (0.619) |
| Linear SVM | 0.653 (0.458) | 0.720 (0.667) | 0.720 (0.644) | 0.706 (0.656) | 0.736 (0.594) | 0.759 (0.606) | 0.781 (0.519) | 0.718 (0.574) |
| Poly SVM | 0.680 (0.538) | 0.693 (0.582) | 0.640 (0.542) | 0.706 (0.607) | 0.759 (0.503) | 0.759 (0.562) | 0.763 (0.589) | 0.754 (0.536) |
| RBF SVM | 0.680 (0.571) | 0.680 (0.657) | 0.720 (0.657) | 0.747 (0.698) | 0.790 (0.542) | 0.781 (0.669) | 0.794 (0.680) | 0.799 (0.693) |
| KNN original | 0.640 (0.501) | 0.720 (0.644) | 0.680 (0.586) | - | 0.772 (0.471) | 0.737 (0.603) | 0.763 (0.604) | - |
| KNN distance | 0.667 (0.510) | 0.733 (0.667) | 0.793 (0.610) | - | 0.776 (0.485) | 0.737 (0.599) | 0.759 (0.601) | - |
| Naive Bayes | 0.733 (0.730) | 0.733 (0.714) | 0.747 (0.716) | - | 0.799 (0.631) | 0.772 (0.616) | 0.785 (0.611) | - |
| Gaussian Naive Bayes | 0.693 (0.667) | 0.707 (0.686) | 0.733 (0.688) | - | 0.781 (0.653) | 0.763 (0.619) | 0.727 (0.606) | - |