Implementation of Gradient Boosting Classifier
Explore how to implement the Gradient Boosting Classifier using Python and the Scikit-learn library. Understand preprocessing steps such as one-hot encoding and dataset splitting, and evaluate model performance against other tree-based algorithms like random forests and decision trees to enhance classification outcomes.
Exercise
This third exercise will use gradient boosting to predict the Advertising dataset’s outcome to compare the results with the two previous algorithms.
Readers of Machine Learning for Absolute Beginners Second Edition will be familiar with the regression variant of gradient boosting. We will instead use the classification version of the algorithm in this exercise, which predicts a discrete ...