Participants should ensure that their notebook includes all necessary code for data preprocessing, model development, and evaluation. It should also contain clear explanations and comments to guide the reader through the code and methodology.

Please make sure to make the title of your notebook under your name.

The submissions for the Arabic Poem Classification Challenge will be evaluated based on the accuracy of the classification predictions. Accuracy is a common evaluation metric for classification tasks and measures the proportion of correctly classified poems in the test set.

To calculate accuracy, the number of correctly classified poems will be divided by the total number of poems in the test set. The higher the accuracy, the better the performance of the classification model.

---
## Submission File
Submission Files:

Participants are required to submit the following files for their challenge entry:

Notebook: Participants should submit their Jupyter notebook or any other relevant notebook format containing the code used to develop the classification model. The notebook should be well-documented and organized, making it easy to understand and reproduce the results.

Submission File: Participants are required to generate a submission file utilizing the provided test data. This file must include two columns, specifically named "ID" and "Category".

```python
ID,Category
1,العصر الإسلامي
1,العصر العباسي
3,العصر حديث
4,العصر الأندلسي
etc.
```