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NEW QUESTION: 1
CSVファイルごとに一度にインポートできる言語は1つだけです
A. 偽
B. 本当
Answer: B
NEW QUESTION: 2
A. Option A
B. Option C
C. Option D
D. Option B
Answer: B
NEW QUESTION: 3
Using Global and Regional Managers, how can you view device status and incidents for important devices located at multiple locations?
A. Set forwarding of critical devices by editing the globall.properties and regionall.properties files.
B. Set up Northbound Integration to forward information about critical devices to the Global Manager.
C. Set up forwarding filters on the Regional Managers so they only forward information about important devices to the Global Manager.
D. Set up web services on the Regional Managers so they only forward information about critical devices to the Global Manager.
Answer: C
NEW QUESTION: 4
You have a dataset that contains over 150 features. You use the dataset to train a Support Vector Machine (SVM) binary classifier.
You need to use the Permutation Feature Importance module in Azure Machine Learning Studio to compute a set of feature importance scores for the dataset.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Add a Two-Class Support Vector Machine module to initialize the SVM classifier.
Step 2: Add a dataset to the experiment
Step 3: Add a Split Data module to create training and test dataset.
To generate a set of feature scores requires that you have an already trained model, as well as a test dataset.
Step 4: Add a Permutation Feature Importance module and connect to the trained model and test dataset.
Step 5: Set the Metric for measuring performance property to Classification - Accuracy and then run the experiment.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-support-vector-mac
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/permutation-feature-importan