Project 5
Advantages of Gradient Boosting
provides predictive accuracy, flexibility, No data pre-processing required, Handles missing data
Disadvantages of Gradient Boosting
overfitting, expensive
Advantages of Gradient Boosting
provides predictive accuracy, flexibility, No data pre-processing required, Handles missing data
Disadvantages of Gradient Boosting
overfitting, expensive