Interpreting Black-box Machine Learning Models for High Dimensional Datasets.
Md. Rezaul KarimMd ShajalalAlexander GraßTill DöhmenSisay Adugna ChalaChristian BeecksStefan DeckerPublished in: CoRR (2022)
Keyphrases
- black box
- machine learning models
- high dimensional datasets
- outlier detection
- spam filtering
- machine learning algorithms
- high dimensional
- high dimensional data
- machine learning approaches
- high dimensionality
- black boxes
- machine learning
- white box
- high dimensional spaces
- test cases
- predictive model
- concept drift
- learning models
- nearest neighbor
- active learning
- data streams
- decision trees
- data mining
- text classification
- text mining
- data analysis
- learning algorithm