Machine Learning, Data Science, Supervised Learning, Editors Pick, Getting Started.
combine its weak predictions into a single, more accurate result. The model is always of the same type same but, each time, it is trained with different weights for the observations it misclassified. Predictions that were previously misclassified will have more weight on the next weak learner, so