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Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.
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README.md

Rubix ML - Divorce Predictor

Use the K Nearest Neighbors 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.

  • Difficulty: Easy
  • Training time: Seconds
  • Memory needed: < 1G

Installation

Clone the repository locally using Git:

$ git clone https://github.com/RubixML/Divorce

Install dependencies using Composer:

$ composer install

Requirements

  • PHP 7.2 or above

Tutorial

On the map ...

Original Dataset

  • Dr. Mustafa Kemal Yöntem, Nevşehir Hacı Bektaş Veli University, Faculty of Education, Department of Educational Sciences, muskemtem '@' hotmail.com
  • Dr. Kemal ADEM, Aksaray University, Faculty of Economics and Administrative Sciences, Department of Management Information Systems, kemaladem '@' gmail.com
  • Prof. Dr. Tahsin İlhan, Tokat GAZİOSMANPAŞA University, Faculty of Education, Department of Educational Sciences, tahsinilhan73 '@' gmail.com
  • Lecturer Serhat Kılıçarslan, Tokat GAZİOSMANPAŞA University, Rectorate, Department of Informatics, serhatklc '@' gmail.com

References

  • M. K. Yöntem et al. (2019). Divorce Prediction Using Correlation Based Feature Selection and Artificial Neural Networks.
  • 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.
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