A KNeighbors classifer model (from the sklearn package in Python) was used to predict heart disease risk with data from the Framingham study. Sklearn metrics were used to measure the effectiveness of the model. Data used is included (obtained from Kaggle) and a report of results is found in the pdf file.
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A KNeighbors classifer model (from the sklearn package in Python) was used to predict heart disease risk with data from the Framingham study. Sklearn metrics were used to measure the effectiveness of the model.
jeannereppert/Predicting-Heart-Disease-With-A-KNeighbors-Classifier
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A KNeighbors classifer model (from the sklearn package in Python) was used to predict heart disease risk with data from the Framingham study. Sklearn metrics were used to measure the effectiveness of the model.
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