Applied-ML-algorithms-using-DUMD-dataset ⚡

Abstract

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

Dataset

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)

Technologies

  • Chi-squared
  • SVM classifier
  • OvR-SVM
  • OvO-SVM

contact

imagehttps://www.linkedin.com/in/%D9%90%D9%90alaa-elkhashap/