{"id":20135444,"url":"https://github.com/zg3z/iris-classifier","last_synced_at":"2025-08-21T10:17:02.702Z","repository":{"id":175707284,"uuid":"519205626","full_name":"ZG3Z/iris-classifier","owner":"ZG3Z","description":null,"archived":false,"fork":false,"pushed_at":"2023-01-30T15:43:32.000Z","size":7,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-01T09:52:47.631Z","etag":null,"topics":["ai","classification","iris-classification","java","knn","perceptron"],"latest_commit_sha":null,"homepage":"","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ZG3Z.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-07-29T12:24:18.000Z","updated_at":"2024-11-25T21:37:56.000Z","dependencies_parsed_at":null,"dependency_job_id":"948fd505-db6a-4a97-b273-b201f1fc4d78","html_url":"https://github.com/ZG3Z/iris-classifier","commit_stats":null,"previous_names":["zg3z/classifier-ai","zg3z/iris-classifier"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ZG3Z/iris-classifier","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZG3Z%2Firis-classifier","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZG3Z%2Firis-classifier/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZG3Z%2Firis-classifier/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZG3Z%2Firis-classifier/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ZG3Z","download_url":"https://codeload.github.com/ZG3Z/iris-classifier/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZG3Z%2Firis-classifier/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":271462089,"owners_count":24763858,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-21T02:00:08.990Z","response_time":74,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","classification","iris-classification","java","knn","perceptron"],"created_at":"2024-11-13T21:14:56.360Z","updated_at":"2025-08-21T10:17:02.677Z","avatar_url":"https://github.com/ZG3Z.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"# classifier-AI\n\n* [Introduction](#introduction)\n* [Data description](#data-description)\n\n ## Introduction\n 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.\n \n ## Data description\n ![image](https://user-images.githubusercontent.com/102870734/215336151-478373e0-d99a-4d0a-a9fb-7815ebd8a96e.png)\n 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.\n \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzg3z%2Firis-classifier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzg3z%2Firis-classifier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzg3z%2Firis-classifier/lists"}