README.md

metadata

configs:
  - config_name: magic
    data_files:
      - path: magic/train.csv
        split: train
    default: true
language: en
license: cc
pretty_name: Magic
size_categories: 1M<n<10M
tags:
  - tabular_classification
  - binary_classification
  - multiclass_classification
task_categories:
  - tabular-classification

Magic

The Magic dataset from the UCI ML repository.

Configurations and tasks

Configuration	Task	Description
magic	Binary classification	Classify the person's magic as over or under the threshold.

Usage

from datasets import load_dataset

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