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NEW QUESTION: 1
Section B (2 Mark)
An investor is considering the purchase of a small office building and, as part of his analysis, form the following given data calculate the appraised value of the property using the Income Approach.

A. Rs. 19,50,000
B. Rs. 21,00,000
C. Rs. 18,37,500
D. Rs. 19,75,000
Answer: A

NEW QUESTION: 2
Which HPE StoreEasy feature provides high availability for Windows file shares in clustered configurations?
A. SMB 3.0
B. IPSec
C. Peer Motion
D. NFS v4.1
Answer: D

NEW QUESTION: 3
You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.
Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Sweep Clustering
Start by using the "Tune Model Hyperparameters" module to select the best sets of parameters for each of the models we're considering.
One of the interesting things about the "Tune Model Hyperparameters" module is that it not only outputs the results from the Tuning, it also outputs the Trained Model.
Step 2: Train Model
Step 3: Evaluate Model
Scenario: You need to provide the test results to the Fabrikam Residences team. You create data visualizations to aid in presenting the results.
You must produce a Receiver Operating Characteristic (ROC) curve to conduct a diagnostic test evaluation of the model. You need to select appropriate methods for producing the ROC curve in Azure Machine Learning Studio to compare the Two-Class Decision Forest and the Two-Class Decision Jungle modules with one another.
References:
http://breaking-bi.blogspot.com/2017/01/azure-machine-learning-model-evaluation.html