Evaluating Machine Learning-Based Classification Approaches: A New Method for Comparing Classifiers Applied to Human Driver Prediction Intentions.
Daniel Adofo AmeyawQi DengDirk SöffkerPublished in: IEEE Access (2022)
Keyphrases
- machine learning methods
- machine learning
- classification method
- machine learning algorithms
- feature set
- classification process
- classification algorithm
- decision trees
- support vector machine
- classification accuracy
- feature selection
- pattern classification
- training samples
- machine learning approaches
- classification schemes
- training set
- classification scheme
- unsupervised learning
- bayes classifier
- supervised classification
- supervised learning algorithms
- prediction model
- naive bayes
- pattern recognition
- cross validation
- k nearest neighbour
- accurate classification
- support vector
- supervised learning
- roc analysis
- classification models
- model selection
- support vector machine svm
- statistical methods
- decision tree classifiers
- feature extraction
- multiple classifiers
- nearest neighbor classifier
- neural networks and support vector machines
- bayesian classifier
- ensemble classifier
- bayesian methods
- active learning
- binary classifiers
- text classifiers
- feature space
- classification systems
- classification rate
- text classification
- combining classifiers
- supervised classifiers
- improves the classification accuracy
- ensemble methods