Classification of breast cancer dataset by different classification algorithms

The experimental results show that the classification result with the decision trees algorithm come up over the other classifier. The decision tree algorithm creates a predictive model that predicts the state of the affected tissue by learning simple decision rules inferred while learning.

[1]  R. Shwetha,et al.  Super resolution of mammograms for breast cancer detection , 2015 .

[2]  Serge N. Demidenko,et al.  Using the ADTree for feature reduction through knowledge discovery , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[3]  S.M.H. Jamarani,et al.  A Novel Method for Breast Cancer Prognosis Using Wavelet Packet Based Neural Network , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[4]  Barry G. Becker Visualizing decision table classifiers , 1998, Proceedings IEEE Symposium on Information Visualization (Cat. No.98TB100258).

[5]  M. Nirmala Devi,et al.  Computer-aided Diagnosis of Breast Cancer by Hybrid Fusion of Ultrasound and Mammogram Features , 2015 .