The Effect of Preprocessing Techniques, Applied to Numeric Features, on Classification Algorithms' Performance.
Esra'a AlshdaifatDoa'a AlshdaifatAyoub AlsarhanFairouz HusseinSubhieh Moh'd Faraj S. El-SalhiPublished in: Data (2021)
Keyphrases
- preprocessing
- feature extraction
- feature set
- feature extraction and selection
- feature vectors
- classification accuracy
- benchmark datasets
- feature space
- preprocessing phase
- numeric values
- support vector
- classification models
- classification process
- preprocessing steps
- classification algorithm
- computational complexity
- machine learning approaches
- machine learning algorithms
- feature values
- classification scheme
- extracting features
- feature selection algorithms
- class labels
- supervised classifiers
- support vector machine
- data structure
- decision trees
- false positives
- classification method
- machine learning methods
- supervised learning
- extracted features
- pattern recognition
- training data
- machine learning
- wrapper feature selection
- bayesian classifier
- weak classifiers
- support vector machine svm
- image classification
- optimization problems
- feature selection
- learning algorithm