Forum Discussion
AutoML: Binary Prediction Threshold
Good afternoon,
Had a quick question with regards to the threshold when applying a binary prediction model through AutoML.
Is the threshold the minimum probability of which the outcome should be defined as "true", or does the threshold represent the cut-off value for the Class 0 (false positive) and Class 1 (false negative) error rate?
Hi Anonymous
Please check if below articles could help.You could read some blogs here.
https://powerbi.microsoft.com/en-us/blog/creating-machine-learning-models-in-power-bi/
https://docs.microsoft.com/en-us/power-bi/service-machine-learning-automated
Regards,
2 Replies
v-cherch-msftMicrosoft Employee
Hi Anonymous
Please check if below articles could help.You could read some blogs here.
https://powerbi.microsoft.com/en-us/blog/creating-machine-learning-models-in-power-bi/
https://docs.microsoft.com/en-us/power-bi/service-machine-learning-automated
Regards,
Thank you for your quick response! Your second link actually answered my question. Thank you so much!