AWSMachineLearningPerformanceMetrics

@interface AWSMachineLearningPerformanceMetrics

Measurements of how well the MLModel performed on known observations. One of the following metrics is returned, based on the type of the MLModel:

  • BinaryAUC: The binary MLModel uses the Area Under the Curve (AUC) technique to measure performance.

  • RegressionRMSE: The regression MLModel uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable.

  • MulticlassAvgFScore: The multiclass MLModel uses the F1 score technique to measure performance.

For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.

  • Declaration

    Objective-C

    @property (readwrite, strong, nonatomic)
        NSDictionary<NSString *, NSString *> *_Nullable properties;

    Swift

    var properties: [String : String]? { get set }