AWSMachineLearningPerformanceMetrics Class Reference

Inherits from AWSModel : AWSMTLModel
Declared in AWSMachineLearningModel.h
AWSMachineLearningModel.m

Overview

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.

  properties

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

Declared In

AWSMachineLearningModel.h