The performance of the classifiers can be enhanced in various ways,one way of doing is changing the attribute nature,by fuzifying the attributes which are of range type,considerable increase in the precision of basic classification algorithms are found. Comparison of performance of ID3,SVM,KNN,Random Forest and Naive Bayes algorithms tested with data set with an without fuzified values and the results are analysed. The results supports the idea that the fuzification of data will increase the efficiency of classifiers. © 2016,International Journal of Pharmacy and Technology. All rights reserved.