A comparison of classification strategies in rule-based classifiers.
Szymon WojciechowskiPublished in: Log. J. IGPL (2018)
Keyphrases
- classification systems
- supervised classification
- classification method
- support vector
- training set
- decision trees
- svm classifier
- classification process
- classification models
- training samples
- classification accuracy
- machine learning algorithms
- classification algorithm
- support vector machine
- class labels
- feature set
- classification rate
- decision boundary
- rule based classifier
- confusion matrices
- feature selection
- machine learning
- improves the classification accuracy
- training data
- classifier combination
- multi category
- support vector machine classifiers
- optimum path forest
- accurate classification
- probabilistic classifiers
- discriminant functions
- pattern recognition
- machine learning methods
- high classification accuracy
- roc analysis
- classification schemes
- nearest neighbor classifier
- final classification
- naive bayes
- classification procedure
- majority voting
- k nearest neighbour
- fold cross validation
- roc curve
- extracted features
- correctly classified
- higher classification accuracy
- image classification
- associative classifiers
- support vector machine svm
- discriminative classifiers
- multiple classifiers
- individual classifiers
- classification scheme
- multiclass classification
- naive bayes classifier
- feature extraction
- supervised learning
- accurate classifiers
- combining classifiers
- classifier ensemble
- nearest neighbour
- classification decisions
- pattern classification
- feature space