# [CSED226-01]HW7-Classification — Data

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

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

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

## **[Attributes]**

- Diagnosis (M = malignant, B = benign)<br>

Ten real-valued features are computed for each cell nucleus:<br>
- radius (mean of distances from center to points on the perimeter)<br>
- texture (standard deviation of gray-scale values)<br>
- perimeter<br>
- area<br>
- smoothness (local variation in radius lengths)<br>
- compactness (perimeter^2 / area - 1.0)<br>
- concavity (severity of concave portions of the contour)<br>
- concave points (number of concave portions of the contour)<br>
- symmetry<br>
- fractal dimension ("coastline approximation" - 1)<br>
- Class:(2 for benign, 4 for malignant)(our target)