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.