Class TextSentimentEvaluationMetrics (2.1.0)

TextSentimentEvaluationMetrics(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Model evaluation metrics for text sentiment problems.

Attributes

Name	Description
`precision`	`float` Output only. Precision.
`recall`	`float` Output only. Recall.
`f1_score`	`float` Output only. The harmonic mean of recall and precision.
`mean_absolute_error`	`float` Output only. Mean absolute error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
`mean_squared_error`	`float` Output only. Mean squared error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
`linear_kappa`	`float` Output only. Linear weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
`quadratic_kappa`	`float` Output only. Quadratic weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
`confusion_matrix`	`.classification.ClassificationEvaluationMetrics.ConfusionMatrix` Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.