support-vector-machine and svm-breast-cancer-classification
These are competitors—both implement SVM-based breast cancer classification on the same Wisconsin diagnostic dataset, making them alternative solutions for the same use case rather than tools meant to be used together.
Maintenance
0/25
Adoption
6/25
Maturity
9/25
Community
16/25
Maintenance
13/25
Adoption
0/25
Maturity
9/25
Community
0/25
Stars: 19
Forks: 6
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: —
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
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About support-vector-machine
AFAgarap/support-vector-machine
An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.
About svm-breast-cancer-classification
atsawinkz/svm-breast-cancer-classification
Implementation of Support Vector Machine (SVM) models for Breast Cancer and Iris classification using scikit-learn. Features data preprocessing, hyperparameter optimization (GridSearchCV/RandomizedSearchCV), and detailed model evaluation.
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