Chapter

Information Systems Design and Intelligent Applications

Volume 434 of the series Advances in Intelligent Systems and Computing pp 187-197

Date:

Analysis of Efficiency of Classification and Prediction Algorithms (kNN) for Breast Cancer Dataset

  • G. D. RashmiAffiliated withPES Institute of Technology Email author 
  • , A. LekhaAffiliated withPES Institute of Technology
  • , Neelam BawaneAffiliated withPES Institute of Technology

* Final gross prices may vary according to local VAT.

Get Access

Abstract

Breast cancer is one of the regularly found cancer in India. In this paper the data mining techniques are used to provide the analysis for the classification and prediction algorithms. The algorithms used here are kNN classification algorithm and kNN prediction algorithm. The algorithms are used to find whether the tumour is either benign or malignant. Data sets are taken from the Wisconsin University database to find the success rate and the error rate. This is used to compare with the original success rate and the error rate.

Keywords

Benign Breast cancer Classification Malignant Prediction