figures

1:step 2.input effect3.degrees  of freedom4.sum 5.chi-square test6.pr > chi-square

REG:process

model:MODEL1

dependent variableL:rep

parameter estimation

1.variables 2.degree of freedom3.parameter estimation4.standard error 5.t values6.pr > |t| 7.Variance Inflation

logistic process

maximum likelihood estimation

1.parameters2.degree of freedom 3.estimation4.standard error 5.wald chi-square6.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