Ensemble/Voting Classification in Python with Scikit-Learn
Introduction Ensemble classification models can be powerful machine learning tools capable of achieving excellent performance and generalizing well to new, unseen datasets. The value of an ensemble classifier is that, in joining together the predictions of multiple classifiers, it can correct for errors made by any individual classifier, leading to better accuracy overall. Let’s take a look at the different ensemble classification methods and see how these classifiers can be implemented in Scikit-Learn. What are Ensemble Models in Machine Learning? Credit: Pixabay […]
Read more