Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?
Minyi SuGuoqin FengZhihai LiuYan LiRenxiao WangPublished in: J. Chem. Inf. Model. (2020)
Keyphrases
- black box
- scoring function
- machine learning
- training set
- supervised learning
- black boxes
- decision trees
- white box
- active learning
- structure learning
- training data
- test set
- test cases
- scoring functions
- machine learning algorithms
- classification accuracy
- ranking functions
- test data
- text classification
- data sets
- training samples
- classification algorithm
- information extraction
- feature space
- integration testing
- transfer learning
- white box testing
- semi supervised learning
- unlabeled data
- text mining
- feature selection
- learning algorithm
- data mining
- inductive logic programming
- model selection
- language model
- graphical models
- knowledge representation