Classification Model for Diagnosis and Prognosis of Breast Cancer
1. Ensembled Prediction Model for Diagnosis (Malignant / Benign)
2. Ensembled Prediction Model for Recurrence (Recurrence / Nonrecurrence)
1. Prediction Model for Diagnosis (Malignant / Benign)
Target: Diagnosis
Predictors: Nuclear features of Breast Tumour mass
Algorithms: Boosted Decision Tree, Decision Jungle, Locally-Deep SVM
2. Prediction Model for Recurrence (Recurrence / Nonrecurrence)
Target: Outcome
Predictors: Nuclear features of Breast Tumour mass, Tumour size
Algorithms: Boosted Decision Tree, Decision Forest, Decision Jungle, Locally-Deep SVM
