{"id":22354005,"url":"https://github.com/rubixml/divorce","last_synced_at":"2025-07-30T09:30:49.709Z","repository":{"id":62538026,"uuid":"225819359","full_name":"RubixML/Divorce","owner":"RubixML","description":"Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.","archived":false,"fork":false,"pushed_at":"2023-07-19T09:42:08.000Z","size":90,"stargazers_count":14,"open_issues_count":0,"forks_count":11,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-11-24T20:47:06.476Z","etag":null,"topics":["classification","cross-validation","data-science","divorce","divorce-prediction","example-project","k-nearest-neighbors","knn","machine-learning","machine-learning-tutorial","nearest-neighbors","php","php-machine-learning","php-ml","prediction","rubix-ml"],"latest_commit_sha":null,"homepage":"https://rubixml.com","language":"PHP","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/RubixML.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2019-12-04T08:41:32.000Z","updated_at":"2024-09-28T11:21:51.000Z","dependencies_parsed_at":"2022-11-02T16:15:19.840Z","dependency_job_id":"448732d1-5fc0-480a-95e2-c03340e5485d","html_url":"https://github.com/RubixML/Divorce","commit_stats":{"total_commits":23,"total_committers":2,"mean_commits":11.5,"dds":0.04347826086956519,"last_synced_commit":"1a2ec21761ca4e7d1fea5dfbbf7139846116ba93"},"previous_names":[],"tags_count":6,"template":true,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RubixML%2FDivorce","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RubixML%2FDivorce/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RubixML%2FDivorce/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RubixML%2FDivorce/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RubixML","download_url":"https://codeload.github.com/RubixML/Divorce/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":228114882,"owners_count":17871742,"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","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":["classification","cross-validation","data-science","divorce","divorce-prediction","example-project","k-nearest-neighbors","knn","machine-learning","machine-learning-tutorial","nearest-neighbors","php","php-machine-learning","php-ml","prediction","rubix-ml"],"created_at":"2024-12-04T13:10:47.352Z","updated_at":"2024-12-04T13:10:48.084Z","avatar_url":"https://github.com/RubixML.png","language":"PHP","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Rubix ML - Divorce Predictor\nUse the [K Nearest Neighbors](https://docs.rubixml.com/latest/classifiers/k-nearest-neighbors.html) algorithm to predict who of your friends will stay married or get a divorce based on their answers to a 54 question survey about their partner. Included in this project is a 171 sample human-annotated dataset that we'll use to train the learner.\n\n- **Difficulty**: Easy\n- **Training time**: Less than a minute\n\n## Installation\nClone the project locally using [Composer](https://getcomposer.org/):\n```sh\n$ composer create-project rubix/divorce\n```\n\n## Requirements\n- [PHP](https://php.net) 7.4 or above\n\n## Tutorial\n\nOn the map ...\n\n## Original Dataset\n- Dr. Mustafa Kemal Yöntem, Nevşehir Hacı Bektaş Veli University, Faculty of Education, Department of Educational Sciences, muskemtem '@' hotmail.com\n- Dr. Kemal ADEM, Aksaray University, Faculty of Economics and Administrative Sciences, Department of Management Information Systems, kemaladem '@' gmail.com\n- Prof. Dr. Tahsin İlhan, Tokat GAZİOSMANPAŞA University, Faculty of Education, Department of Educational Sciences, tahsinilhan73 '@' gmail.com\n- Lecturer Serhat Kılıçarslan, Tokat GAZİOSMANPAŞA University, Rectorate, Department of Informatics, serhatklc '@' gmail.com\n\n### References\n\u003e- M. K. Yöntem et al. (2019). Divorce Prediction Using Correlation Based Feature Selection and Artificial Neural Networks.\n\u003e- Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.\n\u003e- T. A. DeWees et al. (2020). Investigation Into the Effects of Using Normal Distribution Theory Methodology for Likert Scale Patient-Reported Outcome Data From Varying Underlying Distributions Including Floor/Ceiling Effect.\n\n## License\nThe code is licensed [MIT](LICENSE) and the tutorial is licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frubixml%2Fdivorce","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frubixml%2Fdivorce","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frubixml%2Fdivorce/lists"}