Pytorch 实验总结一(heart_disease) 数据集来源:Heart Disease Dataset (kaggle.com) 1. 数据处理部分 import torch from torch import nn from torch.optim import optimizer from torch.utils.data import Da…
1、数据集简介 heart disease数据集的下载 数据集下载地址: https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease heart disease数据集的使用方法
The significance of the proposed model is checked by utilizing the cross-validation technique using the heart disease dataset. The proposed model based on ET-CNN successfully categorizes patient data, achieving 0.960, an average accuracy. Additionally, the recall, precision, and F1 scores for the ...
this is the Jupiter notebook code and I've used dataset from kaggle.com and UCI repository for various diseases-based datasets. I've used a variety of Machine Learning algorithms, implemented in Python, to predict the presence of heart disease in a patient. This is a classification problem,...
https://www.kaggle.com/sulianova/cardiovascular-disease-dataset (2019, january 01) Google Scholar [8] C.B. Latha, S.C. Jeeva Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques July 02 https://www.sciencedirect.com/science/article/pii/S2352914...
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Explore and run machine learning code with Kaggle Notebooks | Using data from Heart Disease Prediction Dataset
Explore and run machine learning code with Kaggle Notebooks | Using data from Heart Disease Dataset
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Explore and run machine learning code with Kaggle Notebooks | Using data from Heart Disease Dataset from UCI