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The comparison of various machine learning algorithms on breast cancer detection dataset has been done.

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SamruddhiMumbare/Breast-Cancer-

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Accuracy: Support Vector Machine : 0.9766081871345029

Logistic Regression : 0.9649122807017544

Naive bayes Classifier : 0.9122807017543859

Descision Tree Classifier : 0.9239766081871345

Random Forest Classifier : 0.9649122807017544

Accuracy of model using Support Vector Machine is maximum while, accuracy of model using Naive Bayes Classifier was least.

Cross validation mean accuracy : 0.9498417721518987

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The comparison of various machine learning algorithms on breast cancer detection dataset has been done.

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