View Source GoogleApi.BigQuery.V2.Model.BinaryConfusionMatrix (google_api_big_query v0.79.0)
Confusion matrix for binary classification models.
Attributes
-
accuracy
(type:float()
, default:nil
) - The fraction of predictions given the correct label. -
f1Score
(type:float()
, default:nil
) - The equally weighted average of recall and precision. -
falseNegatives
(type:String.t
, default:nil
) - Number of false samples predicted as false. -
falsePositives
(type:String.t
, default:nil
) - Number of false samples predicted as true. -
positiveClassThreshold
(type:float()
, default:nil
) - Threshold value used when computing each of the following metric. -
precision
(type:float()
, default:nil
) - The fraction of actual positive predictions that had positive actual labels. -
recall
(type:float()
, default:nil
) - The fraction of actual positive labels that were given a positive prediction. -
trueNegatives
(type:String.t
, default:nil
) - Number of true samples predicted as false. -
truePositives
(type:String.t
, default:nil
) - Number of true samples predicted as true.
Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Types
@type t() :: %GoogleApi.BigQuery.V2.Model.BinaryConfusionMatrix{ accuracy: float() | nil, f1Score: float() | nil, falseNegatives: String.t() | nil, falsePositives: String.t() | nil, positiveClassThreshold: float() | nil, precision: float() | nil, recall: float() | nil, trueNegatives: String.t() | nil, truePositives: String.t() | nil }
Functions
Unwrap a decoded JSON object into its complex fields.