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---
license: bsd-3-clause
tags:
- sklearn
datasets:
- synthetic dataset from sklearn
metrics:
- type: accuracy
value: 0.948
---
# Simple example using plain scikit-learn
## Reproducing the model
Inside a Python environment, install the dependencies listed in `requirements.txt` and then run:
``` bash
python train.py
```
The resulting model artifact should be stored in `model.pickle`.
## The model
The used model is a simple logistic regression trained through gradient descent.
## Intended use & limitations
This model is just for demonstration purposes and should thus not be used.
## Dataset
The dataset is entirely synthetic and has no real world origin.
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