Overview
A diagnostic dashboard that classifies tumors as malignant or benign using K-means clustering on the Wisconsin Breast Cancer dataset. Doctors input tumor scan features and receive a clear classification with confidence indicators.
Designed for clinical interpretability — outputs are visual and accompanied by feature importance breakdowns so practitioners can make informed decisions.
Stack
Python
Scikit-learn
K-Means
Pandas
Matplotlib
Seaborn
Plotly
Key Numbers
569
Samples
10
Features Retained
~92%
Accuracy
2
Clusters
Diagnostic dashboard — tumor classification
Feature correlation heatmap
Model performance metrics