# Breast Cancer - Beginners ML — Data

来源：https://www.kaggle.com/competitions/breastcancer/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

The data has been split into two groups:

- training set (train.csv)
- test set (test.csv)

The training set should be used to build your machine learning model. The outcomes (also known as “ground truth”) have been provided in the training set.

### Goal
The goal is to predict whether the there is a breast cancer patient or not.

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format

## Columns

* mean radius	
* mean texture	
* mean perimeter	
* mean area	
* mean smoothness	
* mean compactness	
* mean concavity	
* mean concave points	
* mean symmetry	
* mean fractal 
* dimension	
* radius error	
* texture error	
* perimeter error	
* area error	
* smoothness error	
* compactness error	
* concavity error	
* concave points error	
* symmetry error	
* fractal dimension error	
* worst radius	
* worst texture	
* worst perimeter	
* worst area	
* worst smoothness	
* worst compactness	
* worst concavity	
* worst concave points	
* worst symmetry	
* worst fractal dimension	
* Cancer (target column)