BreastCancer-Kmeans

Clustering the data into benign or malignant using kMeans Algorithm

Also tested the data with different algorithms

• kNN
• Logistic Regression
• Hierarchical Clustering

Results

• 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.