# [CSED226-01]HW7-Classification — Data

来源：https://www.kaggle.com/competitions/csed226-01hw7-classification/data

采集时间：2026-10-20T10:53:50Z

## **[Data Set Information]**
Breast Cancer Wisconsin (Diagnostic) Data Set
Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass.
They describe characteristics of the cell nuclei present in the image.
## **[Attributes]**

- 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)
- Class:(2 for benign, 4 for malignant)(our target)