Q-FIT: The Quantifiable Feature Importance Technique for Explainable Machine Learning.
Kamil AdamczewskiFrederik HarderMijung ParkPublished in: CoRR (2020)
Keyphrases
- feature importance
- machine learning
- random forest
- feature selection
- decision trees
- machine learning methods
- pattern recognition
- machine learning algorithms
- computer science
- relevance feedback
- unsupervised learning
- semi supervised
- support vector machine
- information extraction
- knowledge representation
- computational intelligence
- artificial intelligence
- information retrieval
- inductive logic programming
- data mining
- inductive learning
- machine learning approaches
- learning systems
- explanation based learning
- text mining
- small number
- multi class
- data analysis
- natural language
- e learning
- computer vision
- learning algorithm