Predicting Animal Behaviours: Physical and Behavioural Classification Of Dog Walking Levels
Predicting Animal Behaviours: Physical and Behavioural Classification Of Dog Walking Levels
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Abstract
Methods of predicting canine behaviour is an area covered by canine behaviour experts. This study aims to predict the behaviour of dogs during walking based on available information about dogs. In this data-driven project based on up-to-date company data, the problem of predicting dog behaviour was addressed in two different ways. First, it is aimed to create a supervised classification model. Within the scope of this study, improvements were made to various classification algorithms. The results were analyzed in different axes. Secondly, it is aimed to create a new parameter that predicts dog walking difficulties by formulating the parameters.
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Keywords
Animal Behaviour Prediction, Multi-Class Supervised Classification, Machine Learning, machine learning, multi-class supervised classification, Animal behaviour prediction
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Citation
Ozen, G., Karan, B., & Cakar, T. (2022). Predicting Animal Behaviours: Physical and Behavioural Classification Of Dog Walking Levels. 2022 30th Signal Processing and Communications Applications Conference (SIU). https://doi.org/10.1109/siu55565.2022.9864674
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1
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4
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