Closed alexpghayes closed 6 years ago
Some communities seem to like "performance metric" or "metric" and others like "loss." Loss makes sense for supervised learning but "metric" may be more appropriate for general modelling problems.
Some communities seem to like "performance metric" or "metric" and others like "loss." Loss makes sense for supervised learning but "metric" may be more appropriate for general modelling problems.