Identifying Mislabeled Instances in Classification Datasets.
Nicolas Michael MüllerKarla MarkertPublished in: CoRR (2019)
Keyphrases
- uci machine learning repository
- pattern recognition
- benchmark datasets
- uci repository
- classification accuracy
- support vector
- training dataset
- classification scheme
- image classification
- text classification
- pattern classification
- classification method
- feature selection
- classification algorithm
- uci datasets
- data sets
- binary and multi class
- machine learning
- feature extraction
- multi class
- neural network
- data stream classification
- imbalanced datasets
- multiple classes
- instance selection
- classification systems
- supervised classification
- preprocessing
- model selection
- training set
- support vector machine svm
- support vector machine
- machine learning algorithms
- binary classification problems
- supervised learning
- associative classifiers
- data mining
- unsupervised learning
- decision trees
- microarray datasets
- high dimensionality
- class labels
- feature vectors
- object classification
- training data
- classification models
- multi label