Web Reference: The project involves training a machine learning model on a dataset that contains iris flower measurements associated with their respective species. The trained model will classify iris flowers into one of the three species based on their measurements. This is one of the earliest datasets used in the literature on classification methods and widely used in statistics and machine learning. The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. load_iris # sklearn.datasets.load_iris(*, return_X_y=False, as_frame=False) [source] # Load and return the iris dataset (classification). The iris dataset is a classic and very easy multi-class classification dataset. ... Read more in the User Guide. Changed in version 0.20: Fixed two wrong data points according to Fisherβs paper.
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Last Updated: April 10, 2026
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