NadaMontasser/-Pen-Based-Recognition-of-Handwritten-Digits

Pen-Based-Recognition-of-Handwritten-Digits

Boosting

Use GradientBoosting classifier to classify test set samples. There are 2 important hyperparameters in GradientBoosting: the number of estimators, and learning rate

Bagging

Apply bagging strategy to classify test set samples by using SVM and Decision Tree algorithm as base estimators