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Breast Cancer Identifier Bot

$30.00 / month
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This bot has been trained to diagnose breast cancer by using Dr. WIlliam and H. Wolberg’s data set. The model is based on 699 instances and is cross-validated at 96%.
The bot outputs one of the following two classes:

  • [benign]
  • [malignant]

The following inputs are required when classifying a breast cancer:

  • Clump Thickness: range 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

Embed the bot on your own site, add the code:

<iframe style="max-width: 100% !important; border: none; height:210px" width="560" src="https://hailp.com/api/main/loadwidget/486/parent/csvbulk"></iframe>

TRY ME, FILL THE FIELDS BELOW

Data source: Dr. WIlliam H. Wolberg (physician) University of Wisconsin Hospitals Madison, Wisconsin, USA

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