True or false? The confidence threshold sets a bar for the quality of predictions to return.TrueFalse

True or False?

The statement is True.

Explanation:

The confidence threshold is a critical component in many predictive models, particularly in contexts like machine learning classification tasks. It establishes a minimum confidence level that a prediction must meet in order to be considered valid or to be returned as an output.

For instance, in a binary classification problem, if a model predicts a probability of 0.75 for a positive class, but the confidence threshold is set at 0.80, the prediction will not be accepted. Essentially, this threshold helps filter out predictions that are not reliable enough, thereby enhancing the overall quality of outputs made by the model.

By adjusting the confidence threshold, one can manage the trade-off between precision and recall according to the specific requirements of a task or application.