chronic-kidney-disease
OpenML dataset with id 43686
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102511/chronic-kidney-disease.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of classes: 0
Number of features: 14 (numeric: 14, symbolic: 0 and in total binary: 0 )
Number of instances: 400
Number of instances with missing values: 0
Number of missing values: 0
Context
This dataset is originally from UCI Machine Learning Repository. The objective of the dataset is to diagnostically predict whether a patient is having chronic kidney disease or not, based on certain diagnostic measurements included in the dataset.
Content
The datasets consists of several medical predictor variables and one target variable, Class. Predictor variables includes Blood Pressure(Bp), Albumin(Al), etc.
Inspiration
Can you build a machine learning model to accurately predict whether or not the patients in the dataset have chronic kidney disease or not?
This page was built for dataset: chronic-kidney-disease
