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NEW QUESTION: 1
The routing table shown below, which of the following statement is correct? (Multiple choice)
A. The router forwards the packet with the destination IP address 10.0.2.2 from Ethernet0/010.
B. The NextHop of the destination network 10.0.3.3/32 is not directly connected, so the router will not forward the packet with the destination IP address of 10.0.0.3.
C. The router forwards the packet with the destination IP address 10.0.0.3 from Ethernet0/0/0.
D. The router forwards the packet with the destination IP address 10.0.12.1 from Ethernet0/0/0.
Answer: A,C
NEW QUESTION: 2
심장의 "정상적인"전기 전도 순서는 무엇입니까?
A. SA 노드, AV 노드, 번들, Purkinje Fibers, 번들 브랜치
B. SA 노드, AV 노드, 번들, 번들 브랜치, Purkinje Fibers
C. AV 노드, SA 노드, 번들, 번들 브랜치, Purkinje Fibers
D. AV 노드, 번들, 번들 분기, Purkinje 파이버, SA 노드
Answer: B
NEW QUESTION: 3
You are producing a multiple linear regression model in Azure Machine Learning Studio.
Several independent variables are highly correlated.
You need to select appropriate methods for conducting effective feature engineering on all the data.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Use the Filter Based Feature Selection module
Filter Based Feature Selection identifies the features in a dataset with the greatest predictive power.
The module outputs a dataset that contains the best feature columns, as ranked by predictive power. It also outputs the names of the features and their scores from the selected metric.
Step 2: Build a counting transform
A counting transform creates a transformation that turns count tables into features, so that you can apply the transformation to multiple datasets.
Step 3: Test the hypothesis using t-Test
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/studio-module-reference/filter-based-feature-selec
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform
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