MANMEET SINGH

The Iris flower classification is a classic problem in the field of machine learning
and pattern recognition. It involves categorizing iris flowers into one of three
species based on certain features. These features typically include the length and
width of the petals and sepals.
The dataset used for this classification task is called the Iris dataset, which was
introduced by the British statistician and biologist Ronald Fisher in his 1936 paper
"The use of multiple measurements in taxonomic problems." The dataset consists
of 150 samples of iris flowers, with each sample containing measurements of the
sepal length, sepal width, petal length, and petal width, as well as the
corresponding species of iris.
The three species of iris included in the dataset are:
Setosa
Versicolor
Virginica