Enum ModelPerformance

Namespace

AiDotNet.Enums

Assembly

AiDotNet.dll

Represents the overall performance quality of a machine learning model.

public enum ModelPerformance

Fields

Good = 0

Indicates that the model performs well on the given data, with high accuracy and reliability.

A "Good" performance typically means the model makes predictions that closely match the actual values, with metrics like R² generally above 0.8 (or equivalent thresholds for other metrics).

Moderate = 1

Indicates that the model performs acceptably but has room for improvement.

A "Moderate" performance suggests the model captures some patterns in the data but misses others. It's usable but could benefit from refinement, with metrics typically in the middle ranges (e.g., R² between 0.5 and 0.8).

Poor = 2

Indicates that the model performs poorly and may not be suitable for the given data or task.

A "Poor" performance means the model struggles to make accurate predictions, with metrics showing low values (e.g., R² below 0.5). This could indicate that the model needs significant improvements, more training data, or that a different type of model might be more appropriate for the task.

Remarks

For Beginners: This enum provides a simple way to categorize how well your AI model is performing. Instead of dealing with complex numerical metrics, it gives you a straightforward assessment that's easy to understand. The library automatically determines this rating based on various statistical measures of your model's accuracy.