Forum Discussion
Power BI ML Model Interpretation
Hi! i am trying to create reports using trained machine learning models in power bi, how can i interpret the output columns of these applied models? does anyone have examples? What is the meaning of the column regression result and how can i read the regression result & regression explanation?
2 Replies
Hi LianJules ,
Based on the information you provided, here is my understanding.
*RegressionResult: This column contains the predicted numeric value for each row, based on the input features of your model. It's the main outcome of the regression model's prediction.
*RegressionExplanation: Accompanies the RegressionResult column and provides detailed explanations for the predictions. It indicates the influence of each input feature on the predicted value.
*ExplanationIndex: it is used to map explanations to corresponding rows in the enriched table.
For more you may refer to:How To Get Predictions from Power BI Machine Learn... - Microsoft Fabric Community
Tutorial: Build a machine learning model in Power BI - Power BI | Microsoft Learn
Use Machine Learning and Cognitive Services with dataflows - Power BI | Microsoft Learn
Best Regards,
Yulia YanIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
And how can I graph predictions from that value or output values?
