This code is built to make an injury prediction with the tables of GPS sessions and the injury record table. Different steps of filtering aggregation, transformation are taken. A machine learning benchmarking process is built to tune parameters and choose between the possible final tables obtained and 8 different algorithms.
This code is built to make an injury prediction with the tables of GPS sessions and the injury record table. Different steps of filtering aggregation, transformation are taken. A machine learning benchmarking process is built to tune parameters and choose between the possible final tables obtained and 8 different algorithms.