Example and Feature importance-based Explanations for Black-box Machine Learning Models.
Ajaya AdhikariDavid M. J. TaxRiccardo SattaMatthias FaethPublished in: CoRR (2018)
Keyphrases
- black box
- machine learning models
- feature importance
- random forest
- spam filtering
- machine learning approaches
- machine learning algorithms
- black boxes
- machine learning
- semi supervised
- predictive model
- white box
- relevance feedback
- test cases
- integration testing
- feature set
- feature selection
- white box testing
- cost sensitive
- data mining
- learning models
- unsupervised learning
- k nearest neighbor
- image classification
- data points
- active learning
- learning algorithm