class Google::Apis::BigqueryV2::BinaryClassificationMetrics
Evaluation metrics for binary classification/classifier models.
Attributes
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]
Binary confusion matrix at multiple thresholds. Corresponds to the JSON property `binaryConfusionMatrixList` @return [Array<Google::Apis::BigqueryV2::BinaryConfusionMatrix>]
Label representing the negative class. Corresponds to the JSON property `negativeLabel` @return [String]
Label representing the positive class. Corresponds to the JSON property `positiveLabel` @return [String]
Public Class Methods
# File lib/google/apis/bigquery_v2/classes.rb, line 845 def initialize(**args) update!(**args) end
Public Instance Methods
Update properties of this object
# File lib/google/apis/bigquery_v2/classes.rb, line 850 def update!(**args) @aggregate_classification_metrics = args[:aggregate_classification_metrics] if args.key?(:aggregate_classification_metrics) @binary_confusion_matrix_list = args[:binary_confusion_matrix_list] if args.key?(:binary_confusion_matrix_list) @negative_label = args[:negative_label] if args.key?(:negative_label) @positive_label = args[:positive_label] if args.key?(:positive_label) end