ML-For-Beginners/7-TimeSeries/3-SVR/assignment.md

# A new SVR model

## Instructions [^1]

Now that you have built an SVR model, build a new one with fresh data (try one of [these datasets from Duke](http://www2.stat.duke.edu/~mw/ts_data_sets.html)). Annotate your work in a notebook, visualize the data and your model, and test its accuracy using appropriate plots and MAPE. Also try tweaking the different hyperparameters and also using different values for the timesteps.
## Rubric [^1]

| Criteria | Exemplary                                                    | Adequate                                                  | Needs Improvement                   |
| -------- | ------------------------------------------------------------ | --------------------------------------------------------- | ----------------------------------- |
|          | A notebook is presented with an SVR model built, tested and explained with visualizations and accuracy stated. | The notebook presented is not annotated or contains bugs. | An incomplete notebook is presented |



[^1]:The text in this section was based on the [assignment from ARIMA](https://github.com/microsoft/ML-For-Beginners/tree/main/7-TimeSeries/2-ARIMA/assignment.md)