Accuracy results from machine learning model runs, ordered in descending order by test accuracy
| Model | Train accuracy | Test accuracy |
|---|---|---|
| Ridge Classifier | 0.824 | 0.736 |
| SVM | 0.825 | 0.735 |
| Elastic Net | 0.823 | 0.732 |
| Logistic regression | 0.824 | 0.732 |
| Ensemble (Elastic Net, KNN, Random Forest) | 0.860 | 0.717 |
| CNN | 0.840 | 0.711 |
| Random Forest | 0.927 | 0.693 |
| Naive Bayes | 0.591 | 0.429 |