How Machine Learning Classification Accuracy Changes in a Happiness Dataset with Different Demographic Groups.
Colm SweeneyEdel EnnisMaurice D. MulvennaRaymond R. BondSiobhan O'NeillPublished in: Comput. (2022)
Keyphrases
- machine learning
- classification accuracy
- feature selection
- feature set
- decision trees
- support vector
- training data
- pattern recognition
- machine learning methods
- learning algorithm
- benchmark datasets
- artificial intelligence
- explanation based learning
- supervised learning
- naive bayes
- demographic data
- neural network
- knowledge acquisition
- learning systems
- learning tasks
- inductive learning
- machine learning approaches
- text classification
- active learning
- training set
- text mining
- support vector machine
- knowledge representation
- data analysis
- inductive logic programming
- natural language
- learning environment
- reinforcement learning
- computer vision