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. © 2017 IEEE.
cited By 0; Conference of 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017 ; Conference Date: 6 January 2017 Through 7 January 2017; Conference Code:130103
S. Sathya, Joshi, S., and Padmavathi, S., “Classification of breast cancer dataset by different classification algorithms”, in 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, 2017.