Firstly, a Linear Model is fitted on the whole dataset, then a Random Forest is trained on the same dataset but using the residuals of the previous steps as target. The final predictions are the sum ...

Random Forest Classifier using Scikit-learn in Python. Basic Info: In this project, I build a Random Forest Classifier model (with 10 decision-trees) to predict safety of the car. The accuracy ...

Random forest model and gradient boosting model are well-known ensemble models where they use a combination of weak learners to build up an ensemble. In these models, the collection of weak learners ...