The evaluation results for the training of a model.

interface EvaluationResult {
    F1Score?: number;
    Summary?: Summary;
}

Properties

Properties

F1Score?: number

The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.

Summary?: Summary

The S3 bucket that contains the training summary.