The Iris dataset is a well-known dataset in machine learning and statistics, first introduced by Ronald Fisher in 1936. It contains 150 observations of iris flowers, categorized into three species: setosa, versicolor, and virginica. Each observation has four numerical features representing the dimensions of the flowers.
This dataset is commonly used for classification tasks, benchmarking machine learning algorithms, and educational purposes. It is… See the full description on the dataset page:
https://huggingface.co/datasets/Lcoin/iris-clase.
