What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian DengStephen GouldLiang ZhengPublished in: CoRR (2021)
Keyphrases
- prediction accuracy
- fold cross validation
- high accuracy
- individual classifiers
- training data
- classification process
- classification rate
- computational cost
- confusion matrix
- error rate
- support vector machine classifier
- prediction error
- highly skewed
- improve the prediction accuracy
- feature space
- learning algorithm
- support vector machine
- classification accuracy
- highest accuracy
- rotation invariant
- classification scheme
- feature extraction
- models built
- decision trees
- improve the recognition accuracy
- higher classification accuracy
- high prediction accuracy
- detection rate
- classification algorithm
- class labels
- training samples
- active learning
- computational complexity
- support vector