/Breast-Cancer-

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

Primary LanguageJupyter Notebook

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