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https://github.com/frederickroman/divorce-predictor

This is a divorce predictor using a neural network. The moded is trained on the UCI dataset using tensorflow, then converted to tfjs. (This is the model used in the Divorsee app.)
https://github.com/frederickroman/divorce-predictor

classification divorce-prediction neural-network tensorflow tensorflow-tutorials tensorflow2 tensorflowjs

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This is a divorce predictor using a neural network. The moded is trained on the UCI dataset using tensorflow, then converted to tfjs. (This is the model used in the Divorsee app.)

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# divorce-predictor
This is a divorce predictor using a neural network. The moded is trained on the UCI dataset using tensorflow, then converted to tfjs. It runs on a python jupyter notebook.

## Getting Started

This project is self-contained. It has both the data and the code. All you need to meet the prerequisites and run the jupyter notebook cells in train.ipynb.

### Prerequisites

Python>=3.8.6

```
math
pandas
numpy
tensorflow
tensorflowjs
```
## External deployment (not on this repo)

This is the model was trained and converted to tfjs to be used on the [Divorsee](https://divorsee.netlify.app) client-side web app. It runs live [here](https://divorsee.netlify.app) and its repository is [here](https://github.com/FrederickRoman/Divorsee).


Divorsee logo
Results mockup

### Citation (Data)

Yöntem, M , Adem, K , İlhan, T , Kılıçarslan, S. (2019). DIVORCE PREDICTION USING CORRELATION BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORKS.
Nevşehir Hacı Bektaş Veli University SBE Dergisi, 9 (1), 259-273.
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