Clustering the data into benign or malignant using kMeans Algorithm
- kNN
- Logistic Regression
- Hierarchical Clustering
- Supervised Learning: Logistic regression with 25:75 data split Accuracy = 97%
- Supervised Learning: K-Nearest Neighbours with 25:75 data split Accuracy = 95%
- UnSupervised Learning: Hierarchical Clustering Accuracy = 77%"""
- UnSupervised Learning: kMeans Clustering Accuracy = 85%
- Can be even higher with Neural network.