You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
25 lines
1.7 KiB
25 lines
1.7 KiB
<!--
|
|
CO_OP_TRANSLATOR_METADATA:
|
|
{
|
|
"original_hash": "1c814013e10866dfd92cdb32caaae3ac",
|
|
"translation_date": "2025-09-06T10:48:38+00:00",
|
|
"source_file": "7-TimeSeries/2-ARIMA/assignment.md",
|
|
"language_code": "en"
|
|
}
|
|
-->
|
|
# A new ARIMA model
|
|
|
|
## Instructions
|
|
|
|
Now that you have built an ARIMA model, create a new one using fresh data (try one of [these datasets from Duke](http://www2.stat.duke.edu/~mw/ts_data_sets.html)). Document your work in a notebook, visualize the data and your model, and evaluate its accuracy using MAPE.
|
|
|
|
## Rubric
|
|
|
|
| Criteria | Exemplary | Adequate | Needs Improvement |
|
|
| -------- | ------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------- | ----------------------------------- |
|
|
| | A notebook is presented with a new ARIMA model built, tested, and explained with visualizations and accuracy stated. | The notebook presented is not annotated or contains bugs | An incomplete notebook is presented |
|
|
|
|
---
|
|
|
|
**Disclaimer**:
|
|
This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation. |