Classification of nucleotide sequences for quality assessment using logistic regression and decision tree approaches.
Serkan KurtErsoy ÖzÖyküm Esra AskinYeliz Yücel ÖzPublished in: Neural Comput. Appl. (2018)
Keyphrases
- logistic regression
- decision trees
- quality assessment
- support vector
- decision tree algorithms
- logistic regression models
- classification trees
- machine learning algorithms
- naive bayes
- fold cross validation
- linear support vector machines
- machine learning
- image quality
- classification accuracy
- training set
- classification models
- decision tree algorithm
- chi square test
- feature selection
- human visual system
- machine learning methods
- image classification
- support vector machine
- image data
- training data
- nucleotide sequences
- data quality
- random forest
- text classification
- bayesian network classifiers
- feature space