Dataset:heart disease心脏病数据集的简介、下载、使用方法之详细攻略 目录 heart disease心脏病数据集的简介 1、数据集简介 heart disease心脏病数据集的下载 heart disease心脏病数据集的使用方法 heart disease心脏病数据集的简介 预测患者的病情,同时指出哪些变量对心脏病的可能性有显著影响。 最初,数据集来自美国疾...
kaggle项目---Heart Disease 主要利用了随机森林来训练模型,同时分析了各个属性的权重及对预测结构的影响 importnumpyasnpimportpandasaspdimportmatplotlib.pyplotaspltimportseabornassns#for plottingfromsklearn.ensembleimportRandomForestClassifier#for the modelfromsklearn.treeimportDecisionTreeClassifierfromsklearn.treeim...
This dataset gives a number of variables along with a target condition of having or not having heart disease. Below, the data is first used in a simple random forest model, and then the model is investigated using ML explainability tools and techniques. 该数据集提供了许多变量以及患有或不患有...
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 ...
基于Kaggle⼼脏病数据集的数据分析和分类预测-StatisticalLearning统。。。基于Kaggle⼼脏病数据集的数据分析和分类预测-StatisticalLearning统计学习实验报告⼀、实验准备 本数据来源于kaggle,包含14个维度，303个样本，具体的变量说明如下表所⽰。变量名详细说明取值范围 target是否患有⼼脏病（分类变量）0=否，1...
Kaggle自己贴出了两种解决方案,一种是基于傅里叶分析的方法,另外一种是在Caffe平台上实现的基于全卷积神经网络的方法。我只稍微看了一下第二种,它在使用NDSB2的数据集进行训练之前先找了一个Sunnybrook dataset来进行训练,相当于增大了数据集,效果应该是提升了不少。
UCI Heart Disease Dataset.csv是对官网数据集做处理后的数据集,heart为Kaggle数据集。 (0)踩踩(0) 所需:1积分 使用tensorflow框架对cifar10数据集进行分类任务_cifar10-tensorfllow.zip 2024-12-26 12:17:20 积分:1 用朴素贝叶斯方法对新闻数据集进行分类_NaiveBayes-20news.zip ...
原数据地址:https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset?datasetId=1120859&sortBy=voteCount&select=healthcare-dataset-stroke-data.csv 导入库 代码语言:javascript 复制 importnumpyasnpimportpandasaspd # 绘图importmatplotlib.pyplotaspltimportmatplotlib.tickerasmtickimportmatplotlib.gridspe...
Explore and run machine learning code with Kaggle Notebooks | Using data from Heart Disease Prediction Dataset
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