Closed asphytheghoul closed 10 months ago
I would like to be assigned to this task.
Since this is a classification problem, we can use the following models: KNN Classifier Logistic Regressor ANN Random Forest Classifier Naive Bayes Decision Tree Stochastic Gradient Descent Support Vector Machines
To compare the models, we can use metrics like Confusion matrix, F1 score, ROC-AUC etc. We can finally do hyperparameter tuning etc on the best model to further improve the model performance and accuracy.
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