google_api_big_query v0.13.0 GoogleApi.BigQuery.V2.Model.BinaryConfusionMatrix View Source
Confusion matrix for binary classification models.
Attributes
- accuracy (float()): The fraction of predictions given the correct label. Defaults to
nil
. - f1Score (float()): The equally weighted average of recall and precision. Defaults to
nil
. - falseNegatives (String.t): Number of false samples predicted as false. Defaults to
nil
. - falsePositives (String.t): Number of false samples predicted as true. Defaults to
nil
. - positiveClassThreshold (float()): Threshold value used when computing each of the following metric. Defaults to
nil
. - precision (float()): The fraction of actual positive predictions that had positive actual
labels. Defaults to
nil
. - recall (float()): The fraction of actual positive labels that were given a positive
prediction. Defaults to
nil
. - trueNegatives (String.t): Number of true samples predicted as false. Defaults to
nil
. - truePositives (String.t): Number of true samples predicted as true. Defaults to
nil
.
Link to this section Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Link to this section Types
Link to this section Functions
Link to this function
decode(value, options) View Source
Unwrap a decoded JSON object into its complex fields.