A NOVEL HYBRID APPROACH FOR PREDICTION OF MISSING VALUES IN NUMERIC DATASET

Abstract

Issue of incomplete data exists across the entire field of data mining. In this paper, a proposed method with Mean Imputation, Mode Imputation and Median Imputation is used to handle the missing value in the dataset. In this work student class test dataset were used of engineering college. By comparing the Absolute Error, Relative Error, Co-Relation coefficient and Root Mean Squared Error of the Proposed Method with imputation techniques and Classifier applied on the imputed dataset by using Weka Tool. Proposed Method with Mean Imputation was performing efficient result with compares with classifier applied on the dataset.