Skip to main content

Module iris

dataset_ml

Module iris 

Source
Expand description

Iris flower dataset module.

Contains the classic Iris dataset for classifying iris flowers into three species (setosa, versicolor, virginica) based on sepal and petal measurements. Iris flower dataset.

The classic Fisher Iris dataset for multi-class classification. It contains measurements for three Iris species: setosa, versicolor, and virginica.

Features (4):

  • sepal_length - sepal length in cm
  • sepal_width - sepal width in cm
  • petal_length - petal length in cm
  • petal_width - petal width in cm

Target: species - one of setosa, versicolor, or virginica

Samples: 150 total, with 50 samples per species Application: Multi-class classification / species recognition

Source: UCI Machine Learning Repository https://doi.org/10.24432/C56C76

Structsยง

Iris
A struct representing the Iris dataset with lazy loading.