Time span:
- Should cover a meaningful period to capture trends and patterns
- Long enough to account for seasonal variations if applicable
Variety:
- Representative of different scenarios and conditions
- Includes both typical and edge cases
Feature richness:
- Multiple relevant attributes or variables
- Allows for exploration of different factors affecting the prediction
Target variable:
- Clear, well-defined outcome that you're trying to predict
- Consistent measurement across the dataset
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