class Google::Apis::BigqueryV2::MultiClassClassificationMetrics

Evaluation metrics for multi-class classification/classifier models.

Attributes

aggregate_classification_metrics[RW]

Aggregate metrics for classification/classifier models. For multi-class models, the metrics are either macro-averaged or micro-averaged. When macro-averaged, the metrics are calculated for each label and then an unweighted average is taken of those values. When micro-averaged, the metric is calculated globally by counting the total number of correctly predicted rows. Corresponds to the JSON property `aggregateClassificationMetrics` @return [Google::Apis::BigqueryV2::AggregateClassificationMetrics]

confusion_matrix_list[RW]

Confusion matrix at different thresholds. Corresponds to the JSON property `confusionMatrixList` @return [Array<Google::Apis::BigqueryV2::ConfusionMatrix>]

Public Class Methods

new(**args) click to toggle source
# File lib/google/apis/bigquery_v2/classes.rb, line 4741
def initialize(**args)
   update!(**args)
end

Public Instance Methods

update!(**args) click to toggle source

Update properties of this object

# File lib/google/apis/bigquery_v2/classes.rb, line 4746
def update!(**args)
  @aggregate_classification_metrics = args[:aggregate_classification_metrics] if args.key?(:aggregate_classification_metrics)
  @confusion_matrix_list = args[:confusion_matrix_list] if args.key?(:confusion_matrix_list)
end