Applying classification models on a CDK dataset using WEKA 3.0

The heterogeneous capabilities of the data modelling models have placed a critical point on the results it provided for different fields including the medical field. To demonstrate such capabilities research was conducted to demonstrate the capabilities of the data mining software WEKA 3.0 on a chronic kidney disease dataset. The modelling procedure tested four different models which are (J48, Naïve Bayes, Random Forest and SMO) on both 70% split and 30% split. Moreover, the secondary objective is to deliver a conclusive result on the relationship between medical.