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Classic Machine Learning Benchmarks

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UC Irvine

UCI Machine Learning Repository

Classification benchmarks (e.g., Iris, Wine, Credit Default), logistic regression, clustering.

📊 Overview

Platform: UCI Machine Learning Repository

Domain: Classic Machine Learning Benchmarks

Maintained by: UC Irvine

📥 Access & Resources

Access and formats:
CSV, Plain text, Python package

CSV Python

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R wrapper package:
ucimlr

Python wrapper package:
ucimlrepo

🎯 Teaching & Analysis

Classification benchmarks (e.g., Iris, Wine, Credit Default), logistic regression, clustering.

Use this dataset to

  • Retrieve classic machine-learning benchmark datasets
  • Access pre-separated features and target variables
  • Practice classification, regression, and clustering
  • Teach model evaluation using well-known datasets

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