Back to projects
project
Breast cancer detection (Wisconsin)
An end-to-end machine learning pipeline that classifies tumors as benign or malignant from a set of diagnostic features.
95.6% accuracy
perfect precision
This project builds an end-to-end ML pipeline for breast cancer detection. Enter a list of features in the format below and the model will predict whether the tumor is benign or malignant. View source on GitHub →
Provide the features in the following order:
['radius1', 'texture1', 'perimeter1', 'area1', 'smoothness1', 'compactness1', 'concavity1', 'concave_points1', 'symmetry1', 'fractal_dimension1', 'radius2', 'texture2', 'perimeter2', 'area2', 'smoothness2', 'compactness2', 'concavity2', 'concave_points2', 'symmetry2', 'fractal_dimension2', 'radius3', 'texture3', 'perimeter3', 'area3', 'smoothness3', 'compactness3', 'concavity3', 'concave_points3', 'symmetry3', 'fractal_dimension3', 'Diagnosis']Prediction result
Awaiting input…
evaluation
Visualizations