RT info:eu-repo/semantics/article T1 A modified entropy-based performance criterion for class-modelling with multiple classes A1 Valencia García, Olga A1 Ortiz Fernández, Mª Cruz A1 Sánchez Pastor, Mª Sagrario A1 Sarabia Peinador, Luis Antonio K1 Sensitivity K1 Specificity K1 Class-model K1 Type I and Type II errors K1 Entropy K1 Benchmark K1 Química analítica K1 Chemistry, Analytic AB The paper presents a new proposal for a single overall measure, the diagonal modified confusion entropy (DMCEN), to assess the performance of class-models jointly computed for several classes, a versatile index regarding sensitivity and specificity, and that supports class weighting.The characteristics of the proposed figure of merit are illustrated as against other usual performance measures and show how the index is more sensitive to the variations in the class-models than similar published indexes.Besides, a benchmark value representing a random modelling is also defined for DMCEN to be used as initial level to assess the quality of the built class-models.Furthermore, systematic comparisons have been conducted by using the degree of consistency C and the degree of discriminancy D when comparing the proposed DMCEN to the usual total efficiency (a geometric mean between sensitivity and specificity).Simulations show that, for a hundred thousand sensitivity/specificity matrices with four categories, C is almost 0.7 on average, well above the needed 0.5, and there is more than 62% probability that DMCEN detects differences when the total efficiency does not.Illustration of the application of the index is shown with an experimental data set with four categories. PB Elsevier SN 0169-7439 YR 2021 FD 2021-10 LK http://hdl.handle.net/10259/6078 UL http://hdl.handle.net/10259/6078 LA eng NO Spanish Ministerio de Ciencia, Innovaci on y Universidades (AEI) and Consejería de Educación de la Junta de Castilla y León through projects CTQ2017-88894-R and BU052P20 respectively (both co-financed with European Regional Development Funds) DS Repositorio Institucional de la Universidad de Burgos RD 28-mar-2024