figures

1:step 2.input effect 3.degrees  of freedom 4.sum 5.chi-square test 6.pr > chi-square

REG:process

model:MODEL1

dependent variableL:rep

parameter estimation

1.variables 2.degree of freedom 3.parameter estimation 4.standard error 5.t values 6.pr > |t| 7.Variance Inflation

logistic process

maximum likelihood estimation

1.parameters 2.degree of freedom 3.estimation 4.standard error 5.wald chi-square 6.pr >chi-square

train_access_dataset:accumulated default rate/depth

ylabel:accumulated default rate

xlabel:depth

train_access_dataset:accumulated recall/depth

ylabel:recall

xlabel:depth