"# Breast-Cancer-Analysis" Attribute Information:

1. ID number
2. Diagnosis (M = malignant, B = benign) , 3-32) ,

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) ,

The mean, standard error and "worst" or largest (mean of the three , largest values) of these features were computed for each image, , resulting in 30 features. For instance, field 3 is Mean Radius, field , 13 is Radius SE, field 23 is Worst Radius. ,

All feature values are recoded with four significant digits. ,