AI Prediction Output Parameters
- Input Data: The data used to make the prediction.
- Prediction Result: The result of the prediction (e.g., classification, regression).
- Confidence Score: The confidence score of the prediction.
- Model Used: The AI model used to make the prediction.
- Feature Importance: The importance of each feature in making the prediction.
- Prediction Time: The time taken to make the prediction.
- Explanation: An explanation of the prediction result.
- Error Handling: How to handle errors during the prediction process.
- Logging: Whether to log the prediction process and results.
- Output Format: The format of the prediction output (e.g., JSON, XML, Text).