Translation: Confidence is a numerical value that indicates how strongly a model supports a particular prediction. It reflects how likely the model judges its selected output to be correct, based on patterns learned from its training data. A higher confidence score means the model assigns a greater probability to its prediction, but it does not guarantee that the prediction is accurate.