Customized meta-dataset for automatic classifier accuracy evaluation.
Yan HuangZhang ZhangYan HuangQiang WuHan HuangYi ZhongLiang WangPublished in: Pattern Recognit. (2024)
Keyphrases
- fold cross validation
- high accuracy
- individual classifiers
- logistic regression
- support vector machine classifier
- training data
- evaluation method
- computational cost
- classification accuracy
- support vector machine
- feature set
- high classification accuracy
- training dataset
- highest accuracy
- confusion matrix
- improving classification accuracy
- benchmark datasets
- leave one out cross validation
- automatic evaluation
- feature selection
- improve the recognition accuracy
- classification process
- support vector
- classification rate
- classification scheme
- roc curve
- computational complexity
- random forest
- fully automatic
- training set
- svm classifier
- image classification
- higher classification accuracy
- data sets
- computer aided diagnostic
- classifier combination
- linear classifiers
- test data
- error rate
- training samples
- decision trees
- learning algorithm