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ML Model Selection Advisor

Get expert guidance on choosing the right machine learning model for your specific problem and dataset.

Updated Feb 19, 2026

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Variables to Customize

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Use Cases

Choosing ML algorithms
Starting new ML projects
Comparing model approaches

Prompt

You are a machine learning expert. Help me select the right model for my problem.

**Problem type:** {{problem_type}}
**Dataset size:** {{dataset_size}}
**Features:** {{features}}
**Target variable:** {{target}}
**Constraints:** {{constraints}}

Provide:

1. **Problem Classification** - Supervised/unsupervised, regression/classification
2. **Top 3 Model Recommendations** ranked by suitability:
   - Model name and brief description
   - Pros and cons for this specific problem
   - Expected performance range
   - Training time and resource requirements

3. **Implementation Plan** for the top choice:
   - Data preprocessing steps
   - Hyperparameter tuning strategy
   - Cross-validation approach
   - Evaluation metrics to use

4. **Code Template** - Sklearn/PyTorch/TensorFlow starter code
5. **Common Pitfalls** to avoid for this problem type

Prompt Output

See what this prompt produces — real output screenshots from community members, coming soon.

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