sairbarbaros/Cancer-Cell-Classifier-High-Acc
Predict which cell is cancerous with 96% accuracy using SVM machine learning algorithm.
This tool helps medical professionals or researchers classify cells as cancerous or non-cancerous. You input microscopic cell data, and it outputs a highly accurate prediction for each cell, aiding in diagnosis or research. It's designed for pathologists, oncologists, or lab technicians working with cell samples.
No commits in the last 6 months.
Use this if you need a quick and accurate automated classification of individual cells based on their features to assist in cancer detection or research.
Not ideal if you require a system that can explain its reasoning for each classification decision, or if you are working with extremely large, complex datasets that might overwhelm a simpler model.
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7
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 23, 2023
Commits (30d)
0
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