Autistic Spectrum Disorder Screening Data for Children
Donated on 12/23/2017
Children screening data for autism suitable for classification and predictive tasks
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Integer
# Instances
292
# Features
20
Dataset Information
Additional Information
see attached file for variables' description
Has Missing Values?
Yes
Variables Table
| Variable Name | Role | Type | Demographic | Description | Units | Missing Values |
|---|---|---|---|---|---|---|
| A1_Score | Feature | Integer | no | |||
| A2_Score | Feature | Integer | no | |||
| A3_Score | Feature | Integer | no | |||
| A4_Score | Feature | Integer | no | |||
| A5_Score | Feature | Integer | no | |||
| A6_Score | Feature | Integer | no | |||
| A7_Score | Feature | Integer | no | |||
| A8_Score | Feature | Integer | no | |||
| A9_Score | Feature | Integer | no | |||
| A10_Score | Feature | Integer | no |
0 to 10 of 21
Additional Variable Information
see attached file for variables' description
Dataset Files
| File | Size |
|---|---|
| Autism-Screening-Child-Data Description.docx | 37.9 KB |
| Autism-Child-Data.arff | 24.7 KB |
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Install the ucimlrepo package
pip install ucimlrepo
Import the dataset into your code
View the full documentationfrom ucimlrepo import fetch_ucirepo # fetch dataset autistic_spectrum_disorder_screening_data_for_children = fetch_ucirepo(id=419) # data (as pandas dataframes) X = autistic_spectrum_disorder_screening_data_for_children.data.features y = autistic_spectrum_disorder_screening_data_for_children.data.targets # metadata print(autistic_spectrum_disorder_screening_data_for_children.metadata) # variable information print(autistic_spectrum_disorder_screening_data_for_children.variables)
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Citation
Thabtah, F. (2017). Autistic Spectrum Disorder Screening Data for Children [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5659W.
Style:
Creators
Fadi Thabtah
DOI
Notes
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.