The study evaluated the accuracy of Class.LD2, a computerized expert system for classifying learning disabled (LD) students. Of 264 student files, 78 files were chosen based on disagreement between multidisciplinary team and Class.LD2 decisions regarding eligibility for LD placement. These 78 cases were evaluated by three individuals expert in LD classification, who made an eligibiltiy decision for each case. Analysis of the results indicated that: (1) Class.LD2 was in agreement with the experts more often than were the placement teams; (2) the expert system's decisions were significantly correlated with those of the experts; and (3) in those cases in which the experts were in unanimous disagreement with Class.LD2, it was shown that Class.LD2 conformed strictly to state rules and regulations in making its eligibility decisions. The use of Class.LD2 by placement teams in order to encourage more data based decisions and to limit overclassification errors is also discussed. (Author/DB)