From the course: Enhancing Your Productivity as a Data Scientist with Generative AI
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Use case 14: Model performance assistant
From the course: Enhancing Your Productivity as a Data Scientist with Generative AI
Use case 14: Model performance assistant
- [Instructor] So we are in the first use case for the model evaluation phase. Now, the actual assistant lives in ChatGPT. But before we get there, there's some pre-work that needs to be done. So open up Codespaces and make sure you're in Branch 05 02. And then open up the evaluation notebook here on the left side. In this case, you can just click Run All. This will load the model and actually calculate some predictions from the model based on in sample and out of sample data. Now, I'm not going too much into detail here because this is really just getting predictions for the training and the test data, and then storing them into two CSV files, because these two files will allow us to run a more thorough model evaluation process. Now, once you see these two CSV files here on the left side, you're all set. And let's get back to ChatGPT. Open the Read Me file and you will find the link to the GPT here. Open this in a new browser tab, and you should see the Model Performance Assistant…
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