https://github.com/zg3z/iris-classifier

https://github.com/zg3z/iris-classifier

ai classification iris-classification java knn perceptron

Last synced: 7 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/zg3z/iris-classifier
• Owner: ZG3Z
• Created: 2022-07-29T12:24:18.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2023-01-30T15:43:32.000Z (about 3 years ago)
• Last Synced: 2025-06-01T09:52:47.631Z (9 months ago)
• Topics: ai, classification, iris-classification, java, knn, perceptron
• Language: Java
• Homepage:
• Size: 6.84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# classifier-AI

* [Introduction](#introduction)

* [Data description](#data-description)

 ## Introduction

 K-nearest neighbors algorithm and Perceptron algorithm for classification implemented from scratch in Java. Selected on the basis of given parameters. 1 argument - K-nearest neighbors algorithm, the argument transfers the k parameter (number of nearest objects of observations from the training set). 2 arguments - Perceptron algorithm, the arguments are  threshold and rate. Tested on an iris dataset. At the output we get assignment accuracy.

 

 ## Data description

 ![image](https://user-images.githubusercontent.com/102870734/215336151-478373e0-d99a-4d0a-a9fb-7815ebd8a96e.png)

 This dataset consists of samples from each of three species of Iris(Iris setosa, Iris virginica and Iris versicolor). Each sample has four features: sepal length, sepal width, petal length and petal width.