ML Model | Data | Accuracy score (%) | AUC score |
---|---|---|---|
Dummy classifier | Unbalanced | 49.9 | 0.49 |
Balanced | 50.9 | 0.50 | |
Random Forest | Unbalanced | 63.8 | 0.65 |
Balanced | 67.9* | 0.74* | |
Logistic Regression | Unbalanced | 63.5 | 0.67 |
Balanced | 65.6 | 0.71 | |
KNN | Unbalanced | 59.8 | 0.60 |
Balanced | 61.9 | 0.66 | |
SVM | Unbalanced | 64.9 | 0.68 |
Balanced | 58.5 | 0.70 | |
AdaBoost | Unbalanced | 63.5 | 0.67 |
Balanced | 66.2 | 0.72 | |
XGBoost | Unbalanced | 62.2 | 0.65 |
Balanced | 67.1 | 0.72 | |
Artificial Neural Net (MLPClassifier) | Unbalanced | 60.7 | 0.63 |
Balanced | 65.1 | 0.71 | |
Naïve Bayes (GaussianNB) | Unbalanced | 59.4 | 0.61 |
Balanced | 59.1 | 0.63 |