Assessing Effects of Single Predictors with Delta-p

This workflow calculates the Delta-p statistics based on the coefficient statistics of a logistic regression model. The Delta-p statistics tells the effect of a single predictor column to the probability of the target column, for example, the effect of credit purpose to the probability of a bad credit rating. The comparison group can be an average data point, or a reference group in the predictor column.

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Hello. I have trouble modifying this workflow to work on other data. Could you help me understand how to get the red dot outport correct from the Logistic Regression Learner Node?