Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors.
Kungang ZhangAnh Tuan BuiDaniel W. ApleyPublished in: CoRR (2020)
Keyphrases
- learning models
- concept drift
- learning algorithm
- machine learning
- data streams
- classification algorithm
- semi supervised learning
- non stationary
- learning tasks
- loss function
- target concept
- supervised learning
- machine learning algorithms
- data distribution
- change detection
- semi supervised
- concept classes
- unsupervised learning
- learning problems
- classification models
- conditional random fields
- training examples
- feature vectors
- data sets
- support vector
- training data
- feature selection
- data mining