The ‘iris’ data
Read OriginalThe article critiques the famous 'iris' dataset, arguing it's a poor example for modern machine learning due to its small size and low dimensionality. It reveals the dataset's original purpose was not for classification/clustering practice, but for a specific biological hypothesis testing whether Iris versicolor was a hybrid, as discussed by Fisher and Anderson.
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