lab для MMO In this dataset we are going to create a model to predict heart failure. We will use logistic regression for the model, since it is a supervised learning model. For those who do not have a very great knowledge, I leave you some simple descriptions about it. Supervised learning: It is defined by its use of labeled datasets to train algorithms that to classify data or predict outcomes accurately. Logistic regression: It is used to predict binary classes with only 2 outputs, yes or no.
Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worldwide. Four out of 5CVD deaths are due to heart attacks and strokes, and one-third of these deaths occur prematurely in people under 70 years of age. Heart failure is a common event caused by CVDs and this dataset contains 11 features that can be used to predict a possible heart disease. People with cardiovascular disease or who are at high cardiovascular risk (due to the presence of one or more risk factors such as hypertension, diabetes, hyperlipidaemia or already established disease) need early detection and management wherein a machine learning model can be of great help.