Implementation of Random Forest
Explore the step-by-step implementation of a Random Forest classifier using Scikit-learn in Python. Learn how to prepare your dataset, convert categorical variables, set model parameters, and evaluate classifier performance with key metrics, enhancing your practical machine learning skills.
1) Import libraries
Note there are two separate algorithms from Scikit-learn for building random forests either based on classification or regression. In this exercise, you will utilize the algorithm’s classification form using Scikit-learn’s RandomForestClassifier rather than RandomForestRegressor, which is used for ...