Binary classification: heart disease prediction – 7 ideas how to start and improve your model

This experiment is based on the original Heart Disease Prediction experiment created by Weehyong Tok from Microsoft, which is one of the Healthcare Industry solutions. This experiment uses the data set from the UCI Machine Learning repository to train and test a model for heart disease prediction. We will use this as a starting point to give you 7 ideas how to start and improve the Cortana Intelligence Gallery examples. Thanks Weehyong for creating and sharing your experiment! Continue reading “Binary classification: heart disease prediction – 7 ideas how to start and improve your model”