metadata
configs:
- config_name: death
data_files:
- path: death/train.csv
split: train
default: true
language: en
license: cc
pretty_name: Heart failure
size_categories: 1M<n<10M
tags:
- tabular_classification
- binary_classification
- multiclass_classification
task_categories:
- tabular-classification
Heart failure
The Heart failure dataset from Kaggle. Predict patient death from earth failure given some personal medical data .
Configurations and tasks
| Configuration | Task | Description |
|---|---|---|
| death | Binary classification | Did the patient die? |
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/heart_failure", "death")["train"]
Features
| Feature | Type |
|---|---|
age |
int8 |
has_anaemia |
int8 |
creatinine_phosphokinase_concentration_in_blood |
float64 |
has_diabetes |
int8 |
heart_ejection_fraction |
float64 |
has_high_blood_pressure |
int8 |
platelets_concentration_in_blood |
float64 |
serum_creatinine_concentration_in_blood |
float64 |
serum_sodium_concentration_in_blood |
float64 |
sex |
int8 |
is_smoker |
int8 |
days_in_study |
int64 |