Interpreting Black-box Machine Learning Models for High Dimensional Datasets.
Md. Rezaul KarimMd ShajalalAlexander GraßTill DöhmenSisay Adugna ChalaAlexander BodenChristian BeecksStefan DeckerPublished in: DSAA (2023)
Keyphrases
- black box
- high dimensional datasets
- machine learning models
- outlier detection
- high dimensional
- spam filtering
- machine learning algorithms
- high dimensional data
- machine learning approaches
- high dimensionality
- black boxes
- white box
- machine learning
- learning models
- concept drift
- predictive model
- test cases
- high dimensional spaces
- learning algorithm
- real world
- classification algorithm
- text classification
- dimensionality reduction
- information extraction
- data mining