processing data using ID3 classifier
Hemangi Bhalekar, Swati Kumbhar, Hiral Mewada, Pratibha Pokharkar, Shriya Patil · 2015
A Decision tree is termed as good DT when it has small size and when new data is introduced it can be classified accurately. Pre-processing the input data is one of the good approaches for generating a good DT. When different data pre-processing methods are used with the com evaluates to give high performance. This paper involves the accuracy variation in the ID3 classifier when used in combination with different data pre of DTs are produced from comparison of original and pre are shown by using standard decision tree algorithm