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
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["accelerometer"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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)
accelerometer