Machine Learning, Programming, Artificial Intelligence, Data Science, Technology.
condition, your model works perfectly well with the data you provide upfront, but when you expose that same model to new data, it breaks down. It’s unable to repeat its highly detailed performance. So, how do you avoid overfitting in DTs? You need to exclude branches that fit data too specifically.