%0 Journal Article %A Shuert, Courtney %A Pomeroy, Patrick %A Twiss, Sean %D 2018 %T MOESM3 of Assessing the utility and limitations of accelerometers and machine learning approaches in classifying behaviour during lactation in a phocid seal %U https://springernature.figshare.com/articles/journal_contribution/MOESM3_of_Assessing_the_utility_and_limitations_of_accelerometers_and_machine_learning_approaches_in_classifying_behaviour_during_lactation_in_a_phocid_seal/7216436 %R 10.6084/m9.figshare.7216436.v1 %2 https://springernature.figshare.com/ndownloader/files/13289840 %K Accelerometer %K Grey seal %K Maternal behaviour %K Breeding behaviour %K Machine learning %K Classification %X Additional file 3. Random forest error plot for 2016 torso-mounted accelerometers. Error plot from random forest models for classifying 6 behavioural states (x0: Rest; x2: Alert; x4: Presenting/Nursing; x5: Locomotion; x6: Comfort Movement; x7: Flippering pup) in 2016 torso-mounted accelerometers (25 Hz) on female grey seals across 500 trees. Out-of-bag error estimates across number of trees shown dark purple line (OOB). %I figshare