A genetic programming-based approach and machine learning approaches to the classification of multiclass anti-malarial datasets.
Madhulata KumariNeeraj TiwariNaidu SubbaraoPublished in: Int. J. Comput. Biol. Drug Des. (2018)
Keyphrases
- multi class
- machine learning approaches
- genetic programming
- binary and multi class
- multiclass classification
- binary classification problems
- binary classifiers
- machine learning methods
- support vector machine
- cost sensitive classification
- multi class classification
- binary classification tasks
- cost sensitive
- machine learning algorithms
- multiple classes
- multiclass problems
- machine learning
- multiclass support vector machines
- binary classification
- multi class classifier
- single class
- error correcting output codes
- kernel fisher
- feature selection
- data mining methods
- regression problems
- multi class boosting
- decision trees
- pairwise
- classification accuracy
- multi task
- training data
- feature vectors
- evolutionary algorithm
- perceptron algorithm
- data points
- support vector machine svm
- benchmark datasets
- multi class problems
- model selection
- classification algorithm
- multiclass learning
- learning tasks
- base classifiers
- learning algorithm
- data sets