Data Science Dojo
Copyright (c) 2019 - 2020
Level Intermediate
Recommended Use: Classification/Anomaly Detection
Domain: Health Sciences
The features of this dataset 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. The target feature records the prognosis (malignant or benign). Feel free to do exploratory data analysis and data visualization on the data set. The Following data dictionary gives more details on this data set:
| Column Position | Attribute Name | Description | Attribute Type |
|---|
#1 | Id number | Sample code number | quantitative
#2 | Clump Thickness | Integer value from 1 to 10 | qualitative
#3 | Uniformity of Cell Size | Integer value from 1 to 10 | qualitative
#4 | Uniformity of Cell Shape | Integer value from 1 to 10 | quantitative
#5 | Marginal Adhesion | Integer value from 1 to 10 | quantitative
#6 | Single Epithelial Cell Size | Integer value from 1 to 10 | qualitative
#7 | Bare Nuclei | Integer value from 1 to 10 | qualitative
#8 | Bland Chromatin | Integer value from 1 to 10 | quantitative
#9 | Normal Nucleoli | Integer value from 1 to 10 | qualitative
#10 | Mitoses | Integer value from 1 to 10 | quantitative
#11 | Class | 2 for benign, 4 for malignant | qualitative