What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian DengStephen GouldLiang ZhengPublished in: ICML (2021)
Keyphrases
- prediction accuracy
- training data
- support vector
- feature space
- classification accuracy
- fold cross validation
- leave one out cross validation
- computational cost
- support vector machine classifier
- high accuracy
- significantly improves the accuracy
- classification rate
- prediction model
- test data
- higher classification accuracy
- highest accuracy
- confusion matrix
- improve the prediction accuracy
- models built
- individual classifiers
- high prediction accuracy
- learning algorithm
- data sets
- feature selection
- classification scheme
- decision trees
- support vector machine
- svm classifier
- improving classification accuracy
- computational complexity
- highly skewed
- training set
- ensemble classifier
- classification method
- ensemble methods
- unseen data
- classifier combination
- k nearest neighbour
- classification process