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Testing Three Techniques of Handling Missing Values

Author(s):

Parth D Thummar , A.D.Patel Institute Of Technology

Keywords:

Datamining, Mising values, Handling techniques, Accuracy, Effectiveness, Naïve bayes algorithm, ingnore tuple, central tendency

Abstract

nowadays, a plenty of data is generated each and every day and to retrieve useful and desired information is getting crucial for data scientist. Due to some reasons incomplete data sets have been seen while data mining and it is very important to handle that missing values in data set so that the data can be mined effectively. So here i am going to show three methods of handling missing values and compare the accuracy of each one on small data set.

Other Details

Paper ID: IJSRDV7I110044
Published in: Volume : 7, Issue : 11
Publication Date: 01/02/2020
Page(s): 123-125

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