Performance of the Classification of Critical Residues at the Interface of BMPs Complexes Pondered with the Ground-State Energy Feature using Random Forest Classifier.
Oscar Roberto Chaparro-AmaroMiguel de Jesús Martínez FelipeJesús Alberto Martínez-CastroPublished in: Computación y Sistemas (CyS) (2023)
Keyphrases
- training set
- classification accuracy
- decision trees
- classification algorithm
- training samples
- support vector machine
- supervised learning
- class labels
- svm classifier
- automatic classification
- energy consumption
- state space
- protein sequences
- pattern recognition
- benchmark datasets
- protein structure
- feature representation
- neural network
- support vector machine svm
- feature set
- feature vectors
- preprocessing
- feature extraction