0 votes
1 view
in Azure by (5.8k points)

I came across this question which asks if Azure ML can calculate confidence - or probabilities - for row data prediction. However, given that the answer to that question is No, and suggests to use R, I am trying to figure out how to use R to do exactly this for a regression model.

Does anyone have any suggestions for references on where to look for this?

My scenario is that I have used Azure ML to build a boosted decision tree regression model, which outputs a Scored Label column. But I don't know regression analysis well enough to write R code to use the outputted model to get confidence intervals.

I am looking for any references that can help me understand how to do this in R (in conjuncture with Azure ML).

1 Answer

0 votes
by (9.6k points)
  1. Rebuild the model using the library(gbm) or (glm) 

  2. Build the confidence interval using confint function

Welcome to Intellipaat Community. Get your technical queries answered by top developers !