The influence of training actives/inactives ratio on machine learning performance.
Rafal KurczabSabina SmuszAndrzej J. BojarskiPublished in: J. Cheminformatics (2013)
Keyphrases
- machine learning
- supervised learning
- training set
- training phase
- learning algorithm
- machine learning methods
- computational intelligence
- pattern recognition
- training algorithm
- real time
- machine learning algorithms
- knowledge acquisition
- learning problems
- information extraction
- training examples
- inductive learning
- model selection
- machine learning and data mining
- natural language processing
- artificial intelligence
- knowledge base
- feature selection
- individual differences
- data sets
- factors influencing
- neural network
- data mining
- training process
- information systems
- database
- learning environment
- semi supervised learning
- data analysis
- evolutionary algorithm
- online learning
- active learning
- knowledge representation