• 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.
• Achieved accuracy of 98.25%, precision of 0.9726, recall of 1.0 and F1-score of 0.9861 using ANN model.

Pair Plot

Correlation Heat Map

Confusion Matrix(SVM)

Loss/Accuracy Graph(ANN)

Confusion Matrix(ANN)

Link to GitHub Repository