3、从模型准确率来看,KNN准确率是 89%。 原文:Heart Disease Prediction using Machine Learning - Analytics Vidhya
The data used in this report is downloaded fromKaggle’sHeart Failure Prediction Dataset(Heart Failure Prediction Dataset | Kaggle). This dataset has created by combining different datasets already available independently but not combined before. In this dataset, 5 heart datasets are combined over 11 ...
复制 id int64 gender object age float64 hypertension int64 heart_disease int64 ever_married object # 字符型 work_type object Residence_type object avg_glucose_level float64 bmi float64 smoking_status object stroke int64dtype:object In [5]: 代码语言:javascript 复制 df.describe()# 描述统计信息 字...
Heart Disease Prediction: RF Model - 85% Acc US Home Prices: Supply-Demand Dynamics ICR - EDA and XGBClassifier ... Installation To run these notebooks, you'll need to have Python and Jupyter installed on your machine. You can install them using pip: pip install jupyterAbout...
heart disease: 0 if the patient doesn't have any heart diseases, 1 if the patient has a heart disease 5) ever-married: "No" or "Yes" worktype: "children", "Govtjov", "Neverworked", "Private" or "Self-employed" 7) Residencetype: "Rural" or "Urban" ...
Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Unexpected end of JSON input SyntaxError: Unexpected end of JSON input
Explore and run machine learning code with Kaggle Notebooks | Using data from UCI Heart Disease Data
Explore and run machine learning code with Kaggle Notebooks | Using data from UCI Heart Disease Data
Explore and run machine learning code with Kaggle Notebooks | Using data from Heart Disease Prediction
heart, regulating the flow of blood through the atria and ventricles.","The fibrous cardiac skeleton provides structure to the heart, forming the atrioventricular septum that separates the atria from the ventricles, and the fibrous rings that serve as bases for the four heart valves.",The ...