Breast Cancer Prediction

Attribute Information:

• ID number
• Diagnosis (M = malignant, B = benign)
• Ten real-valued features are computed for each cell nucleus:
• radius (mean of distances from center to points on the perimeter)
• texture (standard deviation of gray-scale values)
• perimeter
• area
• smoothness (local variation in radius lengths)
• compactness (perimeter^2 / area - 1.0)
• concavity (severity of concave portions of the contour)
• concave points (number of concave portions of the contour)
• symmetry
• fractal dimension ("coastline approximation" - 1)

Database Breast Cancer

Reference

kaggle	https://www.kaggle.com/code/vikasukani/breast-cancer-prediction-using-machine-learning