BreastCancer
- class openschema.sklearn.BreastCancer
Breast cancer Wisconsin (diagnostic) dataset.
- Number of Instances:
569
- Number of Attributes:
30 numeric, predictive attributes and the class
- Attribute Information:
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.
- Summary Statistics:
Feature
Min
Max
radius (mean):
6.981
28.11
texture (mean):
9.71
39.28
perimeter (mean):
43.79
188.5
area (mean):
143.5
2501.0
smoothness (mean):
0.053
0.163
compactness (mean):
0.019
0.345
concavity (mean):
0.0
0.427
concave points (mean):
0.0
0.201
symmetry (mean):
0.106
0.304
fractal dimension (mean):
0.05
0.097
radius (standard error):
0.112
2.873
texture (standard error):
0.36
4.885
perimeter (standard error):
0.757
21.98
area (standard error):
6.802
542.2
smoothness (standard error):
0.002
0.031
compactness (standard error):
0.002
0.135
concavity (standard error):
0.0
0.396
concave points (standard error):
0.0
0.053
symmetry (standard error):
0.008
0.079
fractal dimension (standard error):
0.001
0.03
radius (worst):
7.93
36.04
texture (worst):
12.02
49.54
perimeter (worst):
50.41
251.2
area (worst):
185.2
4254.0
smoothness (worst):
0.071
0.223
compactness (worst):
0.027
1.058
concavity (worst):
0.0
1.252
concave points (worst):
0.0
0.291
symmetry (worst):
0.156
0.664
fractal dimension (worst):
0.055
0.208
- Missing Attribute Values:
None
- Class Distribution:
212 - Malignant, 357 - Benign
- Creator:
Dr. William H. Wolberg, W. Nick Street, Olvi L. Mangasarian
- Donor:
Nick Street
- Date:
November, 1995
See also
Original Sklearn documentation and the original UCIML dataset.