Increasing Accuracy in Predicting Student Test Scores with Neural Networks using Domain Reduction Technique of Principal Component Analysis.
Michael Scott BrownBhavana RajashekarNastaran Davudi PahnehkolaeePublished in: ICMLA (2022)
Keyphrases
- neural network
- principal component analysis
- post test
- statistical significance
- substantially higher
- pattern recognition
- high accuracy
- covariance matrix
- feature reduction
- independent component analysis
- multiple choice
- learning process
- computational cost
- classification accuracy
- feature selection
- fold cross validation
- undergraduate students
- dimension reduction
- learning outcomes
- prediction accuracy
- fuzzy logic
- decision trees
- domain independent
- student learning
- control group
- collaborative learning
- domain specific
- support vector machine
- artificial neural networks
- face recognition
- random selection
- item bank