QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification.
Xia ZengArkaitz ZubiagaPublished in: CoRR (2021)
Keyphrases
- binary classification
- multi class
- support vector
- learning problems
- cost sensitive
- multi label
- multi class classification
- support vector machine
- prediction accuracy
- generalization error
- binary classifiers
- ensemble methods
- class imbalance
- data mining
- machine learning algorithms
- cross validation
- upper bound
- feature space
- learning environment
- e learning
- feature selection
- machine learning