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Datasets:
mstz
/
australian_credit

Tasks:
Tabular Classification
Languages:
English
Size Categories:
n<1K
Tags:
australian_credit
tabular_classification
binary_classification
UCI
License:
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YAML Metadata Error: "configs[0]" must be of type object

Australian Credit

The Australian Credit from the UCI ML repository. Classification of loan approval.

Configurations and tasks

Configuration Task Description
australian_credit Binary classification Is the loan granted?

Usage 

from datasets import load_dataset

dataset = load_dataset("mstz/australian_credit")["train"]

Features

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

Downloads last month
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
690