Using different machine leaining algorithms in DUMP dataset. using Chi-squared , SVM classifier Build OvO-SVM, test on DUMD testing dataset with obtained features from Problem Build OvR-SVM, test on DUMD testing dataset with obtained features from Problem last thing visualization results with each algorithm
using https://archive.ics.uci.edu/ml/datasets/User+Knowledge+Modeling
Attribute Information about the data:
- STG (The degree of study time for goal object materails), (input value)
- SCG (The degree of repetition number of user for goal object materails) (input value)
- STR (The degree of study time of user for related objects with goal object) (input value)
- LPR (The exam performance of user for related objects with goal object) (input value)
- PEG (The exam performance of user for goal objects) (input value)
- UNS (The knowledge level of user) (target value)
- Chi-squared
- SVM classifier
- OvR-SVM
- OvO-SVM
