Ecosyste.ms: Awesome

https://github.com/cyprianfusi/predicting-heart-disease-using-logistic-regression-classification-algorithm

With a precision of 86% and model's CAP curve that shows we are having 100%! This means it is capable of correctly predicting 100% of patients with a heart disease after processing 50% of the data. The model's performance is "Too Good to be True"! However, with Train accuracy = 86% and Test accuracy = 82%, there is no visible sign of overfitting.

cap-curve false-negative false-positive heart-disease logistic-regression precision type-1-and-type-2-errors

Last synced: 27 Nov 2024