Project Overview
The Iris dataset is a multivariate set introduced by the British Statistician, Eugenicist and Biologist Ronald Fisher in his 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, as an example of linear discriminant analysis, and can also be found on the UCI Machine Learning Repository. It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other.I derived the dataset from Kaggle and the link can be found below.https://www.kaggle.com/uciml/iris
The columns in this dataset are:
Id
SepalLengthCm
SepalLWidthCm
PetalLengthCm
PetalWidthCm
Species