Understanding a happiness dataset: How the machine learning classification accuracy changes with different demographic groups.
Colm SweeneyEdel EnnisRaymond R. BondMaurice D. MulvennaSiobhan O'NeillPublished in: ISCC (2021)
Keyphrases
- machine learning
- classification accuracy
- feature selection
- feature set
- data mining
- naive bayes
- computer vision
- terms of classification accuracy
- benchmark datasets
- machine learning algorithms
- learning algorithm
- decision trees
- support vector
- explanation based learning
- machine learning approaches
- machine learning methods
- artificial intelligence
- model selection
- active learning
- training set
- computer science
- pattern recognition
- face recognition
- knowledge acquisition
- social networks
- feature space
- learning systems
- inductive logic programming
- training data
- database