Churn, Churn Prediction, Data Science, AI, Artificial Intelligence.
stopping parameter identifies potential overfitting in the model, then it immediately stops the training. Another thing is that we need to set the weights. The dataset that we used for this task is heavily unbalanced towards the non-churn customers. The unbalanced rate is almost 96%-4%. Due to this