https://github.com/rohansardar/iris_flower

A basic ML project on the iris flower classification
https://github.com/rohansardar/iris_flower

data-science iris-classification iris-dataset ml python scikit-learn

Last synced: about 1 year ago
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A basic ML project on the iris flower classification

• Host: GitHub
• URL: https://github.com/rohansardar/iris_flower
• Owner: RohanSardar
• Created: 2025-02-24T18:14:09.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-24T18:24:36.000Z (about 1 year ago)
• Last Synced: 2025-02-24T19:30:46.931Z (about 1 year ago)
• Topics: data-science, iris-classification, iris-dataset, ml, python, scikit-learn
• Homepage:
• Size: 1.95 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Iris Flower Classification

### A basic ML classification project based on the iris flower dataset

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.  One class is linearly separable from the other 2; the latter are not linearly separable from each other. The data set is compiled by Ronald Fisher, a biologist, in the 1930s.

This dataset is made of 4 features: sepal length, sepal width, petal length, petal width.

This is an exceedingly simple classification project and targetted for beginner level. Most simplest ML algorithms can easily achieve 100% accuracy on this datset.