Skip to content
#

nested-cross-validation

Here are 23 public repositories matching this topic...

To utilize the Breast Cancer Wisconsin Dataset for machine learning purposes. The aim is to diagnose breast cancer by employing a supervised binary, distance-based classifier (K Nearest Neighbours), which will classify cases as either benign or malignant.

  • Updated Sep 14, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the nested-cross-validation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the nested-cross-validation topic, visit your repo's landing page and select "manage topics."

Learn more

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy