✅ Breast Cancer Wisconsin (Diagnostic) Data Set
Predict whether the cancer is benign or malignant

Here is link of dataset: Link

Number of instances: 569
Number of attributes: 32 (ID, diagnosis, 30 real-valued input features)
Ten real-valued features are computed for each cell nucleus:

a) radius (mean of distances from center to points on the perimeter)
b) texture (standard deviation of gray-scale values)
c) perimeter
d) area
e) smoothness (local variation in radius lengths)
f) compactness (perimeter^2 / area - 1.0)
g) concavity (severity of concave portions of the contour)
h) concave points (number of concave portions of the contour)
i) symmetry
j) fractal dimension ("coastline approximation" - 1)

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