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| You can download the initial file for this question from [this link](https://codern.org/contest/assignments/87888/download_problem_initial_project/305560/).|
| :--: |
Amirali, who has recently graduated from university, wants to start a new startup, but he is very afraid of failure. For this reason, he has researched it extensively, the result of which is a dataset that includes information on a large number of successful or failed startups. Now, Amirali asks you to design a model using this dataset that predicts whether this startup will succeed or not, based on the data from its first few months.
## Evaluation Metric
The `F1 Score` metric is used to evaluate your model, and the averaging method is `macro`.
To score in this question, your model must have an `F1 Score` of at least 0.40, and in this case, the final score will be calculated based on the following formula:
$$round(f1score, 3) \times 100$$
If your model does not reach the threshold, the received score will be **zero**.
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**Attention**
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The score you see during the competition is only the result of your model's evaluation on 30% of the test data. After the competition time ends, your **final score** will be calculated on the remaining 70%.
This is done to prevent overfitting and maintain the generality of the model to ensure that models which have been overfitted will drop in the final scoring.
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## Submission Method
To answer this question, first open the notebook file located in the initial file and then follow the steps as requested. Finally, after running the answer-generating cell (the last cell of the notebook file), submit the created `result.zip` file.
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**Important Warning**
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Note that before running the answer-generating cell, save the changes made in the notebook using the shortcut key `ctrl+s`, otherwise, at the end of the competition, your **score** will change to **zero**.
Also, if you are using Colab to run this notebook file, before submitting the `result.zip` file, download the latest version of your notebook and place it inside the submitted file.
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Successful Startup
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