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docs: adding the multiclass quickstart #96

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8 changes: 4 additions & 4 deletions docs/quickstarts/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -29,8 +29,8 @@ poetry update

### Tutorials ###

| Task | Tutorial Name | Dataset to use | Dataset license | Description |
|-----------------------|---------------------------------------------------|-------------------------------------------------------------------------------------------------|-------------------|---------------------------------------------------------------------------------------------------------------------------|
| Binary Classification | notebooks/binary-classification-income-data.ipynb | data/binary_classification/reference-income.csv, data/binary_classification/current1-income.csv|Kohavi,Ron. (1996). Census Income. UCI Machine Learning Repository. https://doi.org/10.24432/C5GP7S. Adapted by Radicalbit. | In this tutorial we monitor data and performance of a ML used to classify if the income is > 50K given a set of features. |

| Task | Notebook | Dataset to use | Dataset license | Description |
|---------------------------|------------------------------------------------------|----------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------|
| Binary Classification | notebooks/binary-classification-income-data.ipynb | data/binary_classification/reference-income.csv, data/binary_classification/current1-income.csv | Kohavi,Ron. (1996). Census Income. UCI Machine Learning Repository. https://doi.org/10.24432/C5GP7S. Adapted by Radicalbit. | In this tutorial we monitor data and performance of a ML used to classify if the income is > 50K given a set of features. |
| Multiclass Classification | notebooks/multiclass-classification-heart-data.ipynb | data/multiclass-classification/3_classes_reference.csv, data/multiclass-classification/3_classes_current1.csv | Janosi,Andras, Steinbrunn,William, Pfisterer,Matthias, and Detrano,Robert. (1988). Heart Disease. UCI Machine Learning Repository. https://doi.org/10.24432/C52P4X. Adapted by Radicalbit. | In this tutorial we monitor data for a multi-class classification task, in which we classify between 3 different heart disease types. |

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