metadata

language:
  - en
tags:
  - acute_inflammation
  - tabular_classification
  - binary_classification
  - multiclass_classification
  - UCI
pretty_name: Acute Inflammation
size_categories:
  - 100<n<1K
task_categories:
  - tabular-classification
configs:
  - inflammation
  - nephritis
  - bladder

Acute Inflammation

The Acute Inflammation dataset from the UCI ML repository. Predict whether the patient has an acute inflammation.

Configurations and tasks

Configuration	Task	Description
inflammation	Binary classification	Does the patient have an acute inflammation?
nephritis	Binary classification	Does the patient have a nephritic pelvis?
bladder	Binary classification	Does the patient have bladder inflammation?

nephritis

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/acute_inflammation", "inflammation")["train"]

Features

Target feature changes according to the selected configuration and is always in last position in the dataset.

Feature	Type
`temperature`	`[float64]`
`has_nausea`	`[bool]`
`has_lumbar_pain`	`[bool]`
`has_urine_pushing`	`[bool]`
`has_micturition_pains`	`[bool]`
`has_burnt_urethra`	`[bool]`
`has_inflammed_bladder`	`[bool]`
`has_nephritis_of_renal_pelvis`	`[bool]`
`has_acute_inflammation`	`[int8]`