You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Which Azure Machine Learning capability should you use to quickly build and deploy a predictive model without extensive coding?
During the process of Machine Learning, when should you review evaluation metrics?
What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A: R-squared (R2), or Coefficient of determination represents the predictive power of the model as a value between -inf and 1.00. 1.00 means there is a perfect fit, and the fit can be arbitrarily poor so the scores can be negative.
C: RMS-loss or Root Mean Squared Error (RMSE) (also called Root Mean Square Deviation, RMSD), measures the difference between values predicted by a model and the values observed from the environment that is being modeled.
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/metrics
Sharen
16 hours agoLaila
8 days agoTaryn
16 days agoElbert
25 days agoChau
1 month agoAlline
1 month agoElvis
2 months agoAshanti
2 months agoWilford
2 months agoStephanie
2 months agoGlenna
3 months agoSophia
3 months agoRonnie
3 months agoMollie
3 months agoChanel
3 months agoGladys
4 months agoFrederick
4 months agoDottie
4 months agoMarti
5 months agoShanice
5 months agoBeata
5 months agoTegan
5 months agoRoselle
6 months agoTasia
6 months agoElliot
6 months agoKenneth
6 months agoJess
8 months agoNada
9 months agoAmmie
11 months agoDenise
11 months agoDenise
12 months agoFiliberto
12 months agoTimmy
1 year agoLeota
1 year agoLing
1 year agoAnnelle
1 year agoChantay
1 year agoAnastacia
1 year agoLeah
1 year agoIndia
1 year agoVesta
1 year agoDavida
1 year agoMadalyn
1 year agoMichell
1 year agoAleshia
1 year agoAmina
1 year agoJacquelyne
1 year agoBeth
1 year agoFlo
1 year agoRodrigo
1 year agoMitsue
1 year agoGayla
1 year agoIzetta
1 year agoRupert
1 year agoAhmed
1 year agoScarlet
1 year agoJeannetta
1 year agoNiesha
2 years agoMeaghan
2 years agoMammie
2 years agoMaia
2 years agoRory
2 years agoDeja
2 years agoOllie
2 years agoCarey
2 years agoKasandra
2 years agojames
2 years agoMark james
2 years agoMoriss
2 years agoQuinton
2 years ago