Explaining Classification Models Built on High-Dimensional Sparse Data.
Julie MoeyersomsBrian DalessandroFoster J. ProvostDavid MartensPublished in: CoRR (2016)
Keyphrases
- sparse data
- high dimensional
- models built
- multi category
- classification models
- high dimensionality
- feature space
- dimension reduction
- uci machine learning repository
- classification accuracy
- multi dimensional
- supervised learning
- training set
- decision trees
- similarity search
- machine learning
- feature selection
- text classification
- dimensionality reduction
- support vector machine
- pattern recognition
- image classification
- support vector machine svm
- high dimensional data
- neural network
- benchmark datasets
- nearest neighbor
- imbalanced data
- feature extraction
- incomplete data
- data mining
- data cube
- training data
- support vector
- feature vectors
- machine learning algorithms