Utilizing cost-sensitive machine learning classifiers to identify compounds that inhibit Alzheimer's APP translation.
Hany AlashwalJuwayni LucmanPublished in: ICCBDC (2020)
Keyphrases
- cost sensitive
- naive bayes
- machine learning
- cost sensitive learning
- decision trees
- misclassification costs
- multi class
- machine learning algorithms
- active learning
- support vector machine
- cost sensitive classification
- boosting algorithms
- machine learning methods
- probability estimates
- text classification
- binary classification
- feature selection
- class imbalance
- training data
- svm classifier
- class distribution
- binary classifiers
- training set
- support vector
- learning algorithm
- learning problems
- classification models
- base classifiers
- roc curve
- test data
- classification algorithm
- test set
- text categorization
- model selection
- information extraction
- data analysis
- bayesian networks
- classifier combination
- feature extraction
- cost sensitive boosting