Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification.
Xiangxie ZhangBen BeinkeBerlian Al KindhiMarco A. WieringPublished in: CoRR (2020)
Keyphrases
- machine learning algorithms
- benchmark data sets
- feature extraction
- decision trees
- machine learning methods
- machine learning
- predictive accuracy
- learning algorithm
- machine learning approaches
- pattern classification
- machine learning models
- input features
- feature vectors
- random forests
- classification accuracy
- learning problems
- learning tasks
- preprocessing
- support vector machine svm
- multiclass classification
- supervised learning algorithms
- statistical machine learning
- learning models
- feature selection
- image classification
- supervised learning
- training set
- feature space
- dna sequences
- data mining
- principal component analysis
- machine learning systems
- feature extraction and classification