Additional file 2: of An open-source tool to identify active travel from hip-worn accelerometer, GPS and GIS data

Procter, Duncan; Page, Angie; Cooper, Ashley; Nightingale, Claire; Ram, Bina; Rudnicka, Alicja; Whincup, Peter; Clary, Christelle; Lewis, Daniel; Cummins, Steven; Ellaway, Anne; Giles-Corti, Billie; Cook, Derek; Owen, Christopher

doi:10.6084/m9.figshare.7120538.v1

12966_2018_724_MOESM2_ESM.docx (26.59 kB)

Additional file 2: of An open-source tool to identify active travel from hip-worn accelerometer, GPS and GIS data

journal contribution

posted on 2018-09-21, 05:00 authored by Duncan Procter, Angie Page, Ashley Cooper, Claire Nightingale, Bina Ram, Alicja Rudnicka, Peter Whincup, Christelle Clary, Daniel Lewis, Steven Cummins, Anne Ellaway, Billie Giles-Corti, Derek Cook, Christopher Owen

Model accuracy for each cross-validation subset (DOCX 26Â kb)

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Medical Research Council

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Machine learning Xgboost Active travel Travel mode Physical activity GPS Accelerometer Gradient boosting

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CC BY + CC0

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Additional file 2: of An open-source tool to identify active travel from hip-worn accelerometer, GPS and GIS data

Funding

Medical Research Council

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