October 13, 2020
Created two binary class classification models using Support Vector Machine classifier and Artificial Neural Network to predict if tumor is malignant or benign. Used the Breast Cancer Wisconsin dataset with 569 instances. Applied GridSearchCV on SVM classifier to find the best parameters. Tuned the parameters of ANN Model to achieve better accuracy. Achieved accuracy of 97.37%, precision of 0.9565, recall of 1.0 and F1-score of 0.9777 using SVM model.