How to handle an imbalanced dataset to predict university admission using a predictive model in R?
Random Forest: Works reasonably well in terms of overall accuracy, but it takes a long time to train due to the large dataset and fails to capture almost any true positives (TP).
How to handle an imbalanced dataset to predict university admission using a predictive model in R?
Random Forest: Works reasonably well in terms of overall accuracy, but it takes a long time to train due to the large dataset and fails to capture almost any true positives (TP).