| 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. | |