This is a Nerural Network created in r that produced a 96% accuracy
The Breast Cancer (Wisconsin) Diagnosis dataset contains the diagnosis and a set of 30 features describing the characteristics of the cell nuclei present in the digitized image of a of a fine needle aspirate (FNA) of a breast mass. 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)