The impact of hard and easy negative training data on vulnerability prediction performance.
Fahad Al DebeyanLech MadeyskiTracy HallDavid BowesPublished in: J. Syst. Softw. (2024)
Keyphrases
- training data
- prediction accuracy
- training set
- learning algorithm
- prediction error
- test data
- prediction model
- decision trees
- data sets
- negative examples
- positive and negative
- domain knowledge
- classification accuracy
- training process
- positive data
- prediction algorithm
- noisy data
- real time
- training samples
- supervised learning
- feature selection
- naive bayes
- class labels
- support vector machine
- prior knowledge
- computational complexity
- video sequences
- information retrieval
- neural network