La fracción de éxitos es una métrica de evaluación que divide el número de salidas generadas consideradas exitosas entre el número total de salidas generadas. Se usa cuando el éxito puede definirse mediante un criterio específico de la tarea en lugar de una única respuesta exacta.
A metric for evaluating an ML model's generated text. The fraction of successes is the number of "successful" generated text outputs divided by the total number of generated text outputs. For example, if a large language model generated 10 blocks of code, five of which were successful, then the fraction of successes would be 50%. Although fraction of successes is broadly useful throughout statistics, within ML, this metric is primarily useful for measuring verifiable tasks like code generation or math problems.