What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability.
John KirchenbauerJacob OaksEric HeimPublished in: CoRR (2022)
Keyphrases
- context specific
- factored mdps
- training data
- qualitative probabilistic networks
- camera calibration
- domain specific
- classification algorithm
- feature selection
- nearest neighbor classification
- evaluation metrics
- metric space
- svm classifier
- trade off
- training set
- decision trees
- learning algorithm
- class labels
- support vector machine
- learning classifier systems
- classification process
- feature space
- support vector
- machine learning
- distance function
- distance metric
- metric learning
- camera parameters