A score slightly above 0.5 shows that a model has at least "some" (albeit small) predictive power. This is generally inadequate for any real applications.
above 0.8 is considered good,
score above 0.9 is considered great.
36) You use Azure Machine Learning designer to create a training pipeline for classification model. What must you do before deploying the model as a service ? a) Create an interface pipeline from the training pipeline b) Add an Evaluate Model module to training pipeline c) Clone the training pipeline with a different name
37) You are using Azure Machine Learning designer to create training pipeline for binary classification model.you have added dataset contain feature and labels, a two class decision forest module and train module.you plan to use Score Model and Evaluate Model modules to test the trained model with subset of dataset that was not used for training. what is another module should you add ? a) join data b) Split data c) Select column in dataset
38)The ability to extract subtotal and total from receipt is a capability of the A)custom vision b)Form recognizer c)Ink Recognizer d) Test Analytics
39)You are building a tool that will process images from retail store and identify the products of competitors.The solution will use a custome model.which azure cognitive service should you use ? a)custom vision b)form recognizer c)face d)Computer vision
40)When you design an AI system to assess wheather lonas should be approved, ha factor used to make the decision should be explinable. This is an example of which Microsoft guiding principle for Repsponsible AI ? a)transparency b)inclusiveness c)Fairness d)Private an security