Objective of this work is the comparison of the results obtained by many ML ensamble models in classification on a dataset regarding the urban mobility of Istanbul.
You can find all the results in the documentation provided in this repository (in Italian), and you can run the Python code used to perform analysis over the Gradient Boosting algorithms.
You have to download the repository and run the main.py file: you can choose which model you want to use to perform the classification.