In this project I try to predict the purpose of a trip utilising a Random Forest

At this project I analyze the movement trajectories of a real, but anonymized dataset of different commuters using Machine Learning.

Activities to be prediced.

• Work • Home • Leisure • Errand • Wait

The provided data sets contain the following fields:

• id • purpose_validated • dur_in_sec • hour_start • hour_end • day_of_month • week • dist_gtfsstops_all • dist_gtfsstops_train • dist_gtfsstops_tram • dist_gtfsstops_bus • day

This project is the result of an assignment, during the course GIS III, at ETH Zurich.