Parameters | Predictive Modeling | Custom Prior Probabilities

Custom Prior Probabilities
Use this text field to specify the assumed prior probabilities for each of the classes.
Values must be entered using the following syntax:
level1=0. X level2=0. Y ... level n =0. Z
where:
level1 through level n are the names of all of the levels of the dependent variable ,
0. X , 0. Y ... 0. Z , represent the prior probability of each level and are numbers between 0.0 and 1.0 ,
The prior probabilities should sum to one (1.0). If they do not, all values are rescaled such that they do sum to one (1.0).
To Specify the Custom Prior Probabilities:
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Choose Automated as the Mode for generating the model .
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For example, if the class variable has three levels A, B, and C, with prior probabilities of 0.2, 0.2, and 0.6, respectively, then specify A=0.2 B=0.2 C=0.6 , as shown below: