Regression - Confidence Interval Calculation
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hi @michaelgloven I've pinged the RM Go team internally to get an answer for you.
Scott
Hi Michael,
RapidMiner Go draws the 95% confidence interval based on the absolute error variance returned by the Performance(Regression) operator in Studio Core. The operator is documented here: https://docs.rapidminer.com/latest/studio/operators/validation/performance/predictive/performance_regression.html
If you want to know exactly how that variance is calculated we need to loop in a data scientist like @mschmitz
RapidMiner Go draws the 95% confidence interval based on the absolute error variance returned by the Performance(Regression) operator in Studio Core. The operator is documented here: https://docs.rapidminer.com/latest/studio/operators/validation/performance/predictive/performance_regression.html
If you want to know exactly how that variance is calculated we need to loop in a data scientist like @mschmitz
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Hi Michael,
RapidMiner Go draws the 95% confidence interval based on the absolute error variance returned by the Performance(Regression) operator in Studio Core. The operator is documented here: https://docs.rapidminer.com/latest/studio/operators/validation/performance/predictive/performance_regression.html
If you want to know exactly how that variance is calculated we need to loop in a data scientist like @mschmitz
RapidMiner Go draws the 95% confidence interval based on the absolute error variance returned by the Performance(Regression) operator in Studio Core. The operator is documented here: https://docs.rapidminer.com/latest/studio/operators/validation/performance/predictive/performance_regression.html
If you want to know exactly how that variance is calculated we need to loop in a data scientist like @mschmitz