The present situation and problems of diagnosis of early lumbar disc degeneration are analyzed. The classifiers for early lumbar disc degeneration(LDD) are proposed based on metabonomics and label distribution learning. The LDD classifiers based on PT-Bayes, AA-BP and SA-IIS algorithms are established, and the performance, application significance and effect of each classifier are analyzed by practical calculation.