COMPARATIVE ANALYSIS OF STANDARD ERROR USING IMPUTATION METHOD
Keywords:
MISSING VALUESAbstract
Presence of missing values in the dataset remains great challenge in the process of knowledge extracting. Also this leads to difficulty for performance analysis in data mining task. In this research work, student dataset is taken that contains marks of four different subjects of engineering college. Mean Imputation, Mode Imputation, Median Imputation and Standard Deviation Imputation were used to deal with challenges of incomplete data. By implementing imputation methods for example Mean Imputation, Mode Imputation, Median Imputation and Standard Deviation Imputation on the student dataset and find out standard errors for each imputation method then analyze obtained result. Mean Imputation with standard error is less as compare with other imputation method with standard error. Hence Mean Imputation Method with standard error is more suitable to handling the missing values in the dataset.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Under the Creative Commons Attribution- 4.0 International License (CC BY-4.0 DEED).
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
