Explore Courses Blog Tutorials Interview Questions
0 votes
in Azure by (5.8k points)

I tried to do an experiment in Azure Machine Learning with a "Decision Forest Regression" Algorithm to predict Weather. I used the Weather Dataset that AML Studio suggested to me (It's 400K rows of Wheater in an airport).

I would like to predict the "DryBulbCelsus" column (it's valued between 20 and 23), so I select the column in the Train Model. I run it everything goes well. But the problem is that I don't understand my score model. I have 2 more columns of results "Score Label Mean" and "Score Label Standard Deviation" with data that I don't understand. 

If someone works with AML and can explain to me how I must interpret the data in the result.

1 Answer

0 votes
by (9.6k points)

Well, standard deviation means the number of results that are different from the actual predicted one. 

Score Label mean is the actual predicted result.  

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

30.5k questions

32.6k answers


108k users

Browse Categories