• Sushama Subhash Dhaware
• Dr. Surendra Bhosale

Several types of research have been done for early detection of breast cancer so that patient’s life can be saved. Previous study was based upon mammogram images. But, mammogram images sometimes give false detection that may endanger the patient's health. . It is necessary to find an alternative method which is easier to implement and efficient also. The main objective is to assess the correctness in classifying data with as benign cancer and malignant cancer with respect to efficiency of each algorithm in terms of accuracy. The next important objective is to increase the accuracy of SVM, KNN, CART using standardization and tuning step by step.

Algorithm tuning, SVM, CART, KNN, ML

"Breast Cancer Detection at Early Stage Using Algorithm Tuning of Support Vector Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.50-55, June 2019, Available :http://www.jetir.org/papers/JETIR1906Q07.pdf

"Breast Cancer Detection at Early Stage Using Algorithm Tuning of Support Vector Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp50-55, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Q07.pdf