https://github.com/mmraisi/cancerous_tumour_predection

predict whether a person’s tumour is cancerous in order to decide whether surgery is necessary or not.
https://github.com/mmraisi/cancerous_tumour_predection

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predict whether a person’s tumour is cancerous in order to decide whether surgery is necessary or not.

• Host: GitHub
• URL: https://github.com/mmraisi/cancerous_tumour_predection
• Owner: mmraisi
• Created: 2022-08-17T19:48:31.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-09T23:24:18.000Z (almost 2 years ago)
• Last Synced: 2024-10-21T05:59:56.452Z (3 months ago)
• Language: Scala
• Size: 12.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Cancerous_Tumour_Prediction

predict whether a person’s tumour is cancerous in order to decide whether surgery is necessary or not.

The “cancer.csv” dataset deals with cancer patients. A tumour is a set of cells that

have grown in a specific part of body. Tumours can be classified as being either

cancerous or non-cancerous based on various factors. Cancerous tumours continue

to grow uncontrollably and spread to different parts of the body and eventually to

the bloodstream. At this stage, they begin interfering with body functions that can

lead to death (example heart attack from clogged arteries). The reason it is important

to classify tumours correctly is because generally it is expensive and risky to try to

remove all tumours. In this problem, we want to predict whether a person’s tumour

is cancerous in order to decide whether surgery is necessary or not.

Features or Independent Variables:

ID - Sample code number

Clump Thickness: 1 - 10

Uniformity of Cell Size: 1 - 10

Uniformity of Cell Shape: 1 - 10

Marginal Adhesion: 1 - 10

Single Epithelial Cell Size: 1 - 10

Bare Nuclei: 1 - 10

Bland Chromatin: 1 - 10

Normal Nucleoli: 1 - 10

Mitoses: 1 - 10

Label or Dependent Variable:

Class: (2 for benign, 4 for malignant)