On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers.
Markus KängseppKaspar ValkMeelis KullPublished in: CoRR (2022)
Keyphrases
- test data
- support vector
- training data
- machine learning algorithms
- class labels
- decision trees
- training set
- camera parameters
- multiple classifiers
- feature selection
- fold cross validation
- classification systems
- statistical tests
- machine learning methods
- camera calibration
- multiple views
- test cases
- test set
- ensemble learning
- svm classifier
- classification rate
- supervised classification
- linear classifiers
- statistical significance
- training samples