MultiConfidenceMetrics

Metrics across multiple confidence levels.

JSON representation

JSON representation
{ "confidenceLevelMetrics" : [ { object ( `ConfidenceLevelMetrics` ) } ] , "confidenceLevelMetricsExact" : [ { object ( `ConfidenceLevelMetrics` ) } ] , "auprc" : number , "estimatedCalibrationError" : number , "auprcExact" : number , "estimatedCalibrationErrorExact" : number , "metricsType" : enum ( `MetricsType` ) }

 { 
 "confidenceLevelMetrics" 
 : 
 [ 
 { 
 object (  ConfidenceLevelMetrics 
 
) 
 } 
 ] 
 , 
 "confidenceLevelMetricsExact" 
 : 
 [ 
 { 
 object (  ConfidenceLevelMetrics 
 
) 
 } 
 ] 
 , 
 "auprc" 
 : 
 number 
 , 
 "estimatedCalibrationError" 
 : 
 number 
 , 
 "auprcExact" 
 : 
 number 
 , 
 "estimatedCalibrationErrorExact" 
 : 
 number 
 , 
 "metricsType" 
 : 
 enum (  MetricsType 
 
) 
 }

Fields
`confidenceLevelMetrics[]`	`object ( ConfidenceLevelMetrics )` Metrics across confidence levels with fuzzy matching enabled.
`confidenceLevelMetricsExact[]`	`object ( ConfidenceLevelMetrics )` Metrics across confidence levels with only exact matching.
`auprc`	`number` The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.
`estimatedCalibrationError`	`number` The Estimated Calibration Error (ECE) of the confidence of the predicted entities.
`auprcExact`	`number` The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.
`estimatedCalibrationErrorExact`	`number` The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.
`metricsType`	`enum ( MetricsType )` The metrics type for the label.