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Performance Comparison of Three Classifiers for the Classification of Breast Cancer Dataset

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BreastCancer_ML.ipynb		BreastCancer_ML.ipynb
Ml-Methods-Report.docx		Ml-Methods-Report.docx
README.md		README.md
breast-cancer-wisconsin.data		breast-cancer-wisconsin.data

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Performance Comparison of Three Classifiers for the Classification of Breast Cancer Dataset

Report

Methods	Accuracy
Decision Tree	92.85
SVM	96
Gaussian Naive Bayes	95.42
XGBoost	97.85
Logistic Regression	96.57
K-Nearest Neighbors	97.71

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Performance Comparison of Three Classifiers for the Classification of Breast Cancer Dataset

machine-learning presentation jupyter-notebook regression classification decision-trees breast-cancer-wisconsin gaussiannb

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