The Contract Random Interval Spectral Ensemble (c-RISE): The Effect of Contracting a Classifier on Accuracy.
Michael FlynnJames LargeTony BagnallPublished in: HAIS (2019)
Keyphrases
- individual classifiers
- ensemble learning
- high accuracy
- multiple classifiers
- classifier ensemble
- ensemble members
- ensemble classifier
- feature selection
- training data
- classification accuracy
- confusion matrix
- roc curve
- multiple classifier systems
- feature space
- training set
- support vector machine classifier
- fold cross validation
- unseen data
- random selection
- random forest
- error rate
- ensemble pruning
- final classification
- learning algorithm
- higher classification accuracy
- classification rate
- support vector
- generalization error
- generalization ability
- detection rate
- combination of multiple classifiers
- binary classification problems
- pruning algorithm
- combining multiple
- decision tree classifiers
- classification method
- highest accuracy
- decision trees
- neural network
- randomized trees