MOOC's Student Results Classification by Comparing PNN and other Classifiers with Features Selection.
Ahmed Mahmoud NazifAhmed Ahmed Hesham SedkyOsama Mohamed BadawyPublished in: ACIT (2020)
Keyphrases
- feature set
- extracted features
- svm classifier
- classification models
- classification method
- classification process
- class labels
- feature vectors
- feature extraction
- multiple classifiers
- classification accuracy
- support vector
- feature space
- input features
- support vector machine classifiers
- supervised classification
- support vector machine
- feature reduction
- probabilistic neural network
- feature selection
- bayesian classifier
- classification decisions
- decision trees
- classification algorithm
- feature subset
- feature values
- online course
- machine learning algorithms
- feature selection algorithms
- classification rate
- support vector machine svm
- final classification
- sequential forward selection
- ensemble classifier
- classification performances
- supervised classifiers
- discriminative classifiers
- bayes classifier
- weak learners
- training data
- training set
- train a support vector machine
- classification systems
- decision tree classifiers
- training samples
- feature weights
- naive bayes classifier
- machine learning approaches
- feature ranking
- individual features
- supervised learning
- classifier combination
- text classification
- highly discriminative
- image classification
- naive bayes
- machine learning
- boosted classifiers
- weak classifiers
- learning algorithm
- neural network
- learning environment
- majority voting
- pattern classification
- roc curve
- multiple features
- decision boundary