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A Novel Iterative Linear Regression Perceptron Classifier for Breast Cancer Prediction
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 167 - Number 12 |
| Year of Publication: 2017 |
| Authors: Samuel Giftson Durai, S. Hari Ganesh |
10.5120/ijca2017914461
|
Samuel Giftson Durai, S. Hari Ganesh . A Novel Iterative Linear Regression Perceptron Classifier for Breast Cancer Prediction. International Journal of Computer Applications. 167, 12 ( Jun 2017), 9-17. DOI=10.5120/ijca2017914461
Abstract
Breast cancer, the most common of types of cancer that threatens human life more specifically women can be diagnosed with classification techniques of data mining. This work is an extension of earlier implementation of breast cancer analysis of the author through iterative linear regressive classifier. The objective of this study is to make cent percent prediction accuracy in the diagnosis of breast cancer over the traditional Wisconsin dataset. The novelty of the paper includes the benefits of the previous ILRC and also takes the advantages of AI. The results of the proposed work are evaluated against the randmeasure and have proven that the results yield cent percent prediction accuracy in diagnosing breast cancer.
References
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