摘要
///The authors used two methods to study the classification and grade of the precursor data in western Yunnan since 1990. First, the authors qualitatively classified the precursor data as three types (A, B and C) according to the variation degree of the data, and analyzed their prediction ability by the grades. Second, the authors picked up the anomaly indexes of the precursor data using multifarious methods, and graded the data into three types (A, B and C) according to the prediction efficiency of the anomaly indexes. The results of two methods show to be approximate: 1) the quality of ground deformation and water level data is the best; 2) the quality of water radon and water temperature is common; and 3) the quality of hydrochemistry, geomagnetic and geo-electricity is bad.