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iris_dataset_python

Ce TP vise à : - La prise en main de la bibliothèque scikit-learn de Python, dédiée à l'apprentissage automatique - Sensibilisation à l'évaluation des modèles appris en classification supervisée. Iris is a dataset introduced in 1936 by Ronald Aylmer Fisher as an example of discriminant analysis.   This set contains 150 examples of criteria observed on different species of Gaspésie iris (Setosa, Versicolor, Verginica). Each example is composed of four attributes (length and width of the sepals in cm, length and width of the petals in cm) and a class (the species).

nlp

skypoint

Extract the points that are not dominated by any other points