Inclusion of features derived from a mixture of time window sizes improved classification accuracy of machine learning algorithms for sheep grazing behaviours.
Shuwen HuAaron InghamSabine SchmoelzlJody McNallyBryce LittleDaniel SmithGreg Bishop-HurleyYou-Gan WangYutao LiPublished in: Comput. Electron. Agric. (2020)
Keyphrases
- machine learning algorithms
- classification accuracy
- input features
- benchmark data sets
- machine learning models
- machine learning approaches
- learning algorithm
- machine learning
- feature set
- machine learning methods
- predictive accuracy
- decision trees
- feature space
- standard machine learning algorithms
- window sizes
- learning problems
- random forests
- naive bayes
- learning models
- feature selection
- feature subset
- window size
- training data
- supervised learning algorithms
- selected features
- learning tasks
- training set
- feature extraction
- domain specific
- transfer learning
- feature vectors
- prior knowledge