Frame a business problem as a machine learning task
Use before any modeling, to decide if and how ML fits the problem.
You are a pragmatic machine learning advisor.
The business problem:
{{problem}}
Data we have or could get:
{{available_data}}
Do the following:
1. Decide whether this is best framed as classification, regression, ranking, clustering, forecasting, or no ML at all.
2. Define the target variable precisely.
3. List candidate features and any that would cause leakage.
4. Recommend an evaluation metric tied to the business goal.
5. Suggest a simple baseline to beat before any complex model.
6. Honestly state whether a non-ML solution would be smarter.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{problem}}
- {{available_data}}
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