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Table 5.3. CATDAT output of within-sample classification error rates for chinook salmon population status generalized logit models. The model predictors include full main effects (top) and statistically significant main effects (bottom). Generalized Logit Model Within-sample error rate calculation Full main effects model After model selection the number of predictors = 13 Overall number of errors 70 Category Strong Depressed Migrant Absent Number of errors 15 30 8 17 EER 0.7143 0.5263 0.1356 0.0500 EER 0.1468 No. of Predictions 9 47 58 363 Perr 0.3333 0.4255 0.1207 0.1102 -------------------------------------------------------------------------------------Generalized Logit Model Within-sample error rate calculation Reduced model with 3 main effects: Elev Slope Mntemp After model selection the number of predictors = 3 Overall number of errors 98 Category Strong Depressed Migrant Absent Number of errors 21 38 18 21 EER 1.0000 0.6667 0.3051 0.0618 EER 0.2055 No. of Predictions 0 38 67 376 Perr --0.4412 0.3881 0.1516 ______________________________________________________________________________ 45
