Diagnosis of Breast Cancer Using the Gradient Boosted Trees Data Mining Technique

Breast cancer is one of the deadliest and most common cancers among women in the world today. Data mining is one of the strongest and best practices in the field of diagnosis of breast cancer that has come to the aid of doctors in this area. This research was performed by working on randomized indigenous data in Shiraz, Iran, and modeling using three svm, regression linear, gradient boosted tree algorithms and also using ten fold cross validation method to verify the accuracy of the model. The results showed that gradient algorithm boosted trees with a precision of 99/74 showed a flipping performance over the rest of the algorithms.

Diagnosis of Breast Cancer Using the Gradient Boosted Trees Data Mining Technique Keywords:

Breast cancer , Data mining , Ten fold cross validation , Gradient boosted Trees