Replication Data for: Application of Bayesian Additive Regression Tree to quantify the uncertainty of machine-learning derived variables: a case study in human activity patterns learned from accelerometer data

Replication Data for: Application of Bayesian Additive Regression Tree to quantify the uncertainty of machine-learning derived variables: a case study in human activity patterns learned from accelerometer data. There are two datasets provided: accel_data_no_id.csv Features_reSampled_5sec.csv The files represent the raw data (accel_data_no_id.csv) and the analysis data resampled at 5 seconds (Features_reSampled_5sec.csv). Code for the analysis is available here (https://github.com/hiroshimamiya/BART_PhysicalActivity). Analysis was done on a cluster of the Digital Research Alliance of Canada (https://alliancecan.ca/en).