The role of pertinently diversified and balanced training as well as testing data sets in achieving the true performance of classifiers in predicting the antifreeze proteins.
Abhigyan NathKarthikeyan SubbiahPublished in: Neurocomputing (2018)
Keyphrases
- training set
- data sets
- test set
- training data
- training stage
- training examples
- test data
- training samples
- testing phase
- classifier training
- decision trees
- training set size
- supervised learning
- predicting protein
- linear svm
- computational methods
- learning algorithm
- support vector
- classification accuracy
- training process
- training phase
- test cases
- labeled training data
- multi class
- unseen data
- protein function
- classification algorithm
- multi layer perceptron
- protein protein interactions
- class distribution
- protein structure
- protein sequences
- protein structure prediction
- naive bayes
- amino acid sequences
- discriminative classifiers
- svm classifier
- support vector machine