PREDICTION MODEL USING ORANGE

Assignment 4


I try to make Decision Tree, Naive bayes, KNN with data Pemilu and make it in Orange application


1. Decision Tree








2. Naive Bayes





3. KNN







Conclusionn: I conclude that systemathic from this three (KNN, Naive Bayes, and Decision tree) first, i use Decision tree's tools to compare the data than Naive Bayes. After that measured by AUC (Area Under the receiver operating Characteristic curve) at the end for the final we can see that KNN algorithms can show verywell for the result of Data Pemilu. Than, decision tree's that we can see too many difficullty to read it and than of course not for naive bayes, because naive bayes show us uncompletly result.


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