A hybrid ensemble for classification in multiclass datasets: An application to oilseed disease dataset.
Archana ChaudharySavita KolheRaj KamalPublished in: Comput. Electron. Agric. (2016)
Keyphrases
- multi class
- binary classification problems
- binary and multi class
- multiclass classification
- support vector machine
- binary classifiers
- multi class classifier
- multi class classification
- cost sensitive
- multiclass problems
- benchmark datasets
- feature selection
- base classifiers
- training dataset
- multiple classes
- cost sensitive classification
- binary classification tasks
- binary classification
- class probabilities
- multiclass support vector machines
- pairwise
- kernel fisher
- single class
- classification accuracy
- class imbalance
- training data
- multi class boosting
- machine learning
- decision trees
- training set
- image classification
- feature set
- multi task
- support vector
- ensemble methods
- cross validation
- error correcting output codes
- multiclass learning
- perceptron algorithm
- model selection
- neural network
- random forests
- ls svms
- knn
- support vector machine svm
- class labels
- generalization ability
- classifier ensemble
- ensemble classifier
- ensemble learning