06_Assessing_Effects_of_Single_Predictors_with_Delta-p
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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.
URL: Scoring Metrics eBook https://www.knime.com/knimepress/scoring-metrics-evaluating-machine-learning-models
URL: Predict Creditworthiness with Delta-p in KNIME https://www.knime.com/blog/easy-interpretation-of-a-logistic-regression-model-with-delta-p-statistics
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