Conclusions &future work

From the results we can conclude that the SVM has better performance in both time and accuracy. This project could be the base for many other future work, Other students can use this model to check the effect of the feature ratio on the performance by studying its effect on both time and accuracy. It is also beneficial to compare different selection parameters such as chi2 or information gain to find whether changing the selection parameter affects and how this effect can be used to enhance the classifier performance.In addition, deep study of each algorithm can be conducted by changing its parameters. i.e. in this project we use K=1 for the KNN, so other students can study the effect of increasing this parameter on the classifier performance.