Should significance testing be abandoned in machine learning?
Daniel BerrarWerner DubitzkyPublished in: Int. J. Data Sci. Anal. (2019)
Keyphrases
- machine learning
- supervised machine learning
- data mining
- learning algorithm
- pattern recognition
- application of machine learning methods
- supervised learning
- active learning
- machine learning algorithms
- knowledge acquisition
- text classification
- machine learning methods
- computer vision
- data analysis
- knowledge representation
- support vector machine
- test cases
- semi supervised learning
- supervised classification
- computational biology
- learning tasks
- statistical significance
- software testing
- test set
- text mining
- unsupervised learning
- model selection
- computational intelligence
- database
- video sequences
- training data
- information systems
- genetic algorithm
- information retrieval
- databases