On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines.
Kuruge Darshana AbeyrathnaOle-Christoffer GranmoMorten GoodwinPublished in: SSCI (2020)
Keyphrases
- classification accuracy
- confidence estimates
- decision trees
- classification scheme
- pattern recognition
- model selection
- roc curve
- image classification
- misclassification rate
- training set
- pattern classification
- classification method
- feature selection
- binary and multi class
- support vector
- support vector machine svm
- benchmark datasets
- logistic regression
- feature vectors
- probability estimates
- automatic classification
- learning machines
- feature space
- machine learning
- feature extraction
- bayesian networks
- imbalanced data sets
- confidence scores
- accurate classification
- high confidence
- receiver operating characteristic
- supervised learning
- support vector machine
- decision rules
- error rate
- naive bayes
- training samples
- multi class
- text classification