Describe Data Relationships
Providing a natural language description of how your data fields interrelate helps the AI model understand context and improves accuracy.
Steps:
Access the Data Relationships Section:
In your project dashboard, navigate to "Data Relationships."
Describe Relationships:
Example: "The 'Damage Severity' is determined by analyzing the 'Claim Description' text and the 'Damage Images' provided."
Explain how different fields influence each other.
Provide Contextual Information:
Example: "Water stains in images often indicate 'Water' damage type, whereas broken windows suggest 'Vandalism' or 'Wind' damage."
Specify Conditional Logic:
Example: "If 'Damage Severity' is 'Severe' and 'Damage Type' is 'Fire', then 'Requires Immediate Attention' should be 'True'."
Save Your Descriptions:
Click "Save" to store your data relationships descriptions.
What This Does:
Enhances Model Understanding: Provides the AI with additional context to make more accurate predictions.
Improves Accuracy: Helps the model learn the nuances and complexities of your data.
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