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NEW QUESTION: 1
You are building a binary classification model by using a supplied training set.
The training set is imbalanced between two classes.
You need to resolve the data imbalance.
What are three possible ways to achieve this goal? Each correct answer presents a complete solution NOTE:
Each correct selection is worth one point.
A. Penalize the classification
B. Normalize the training feature set.
C. Generate synthetic samples in the minority class.
D. Use accuracy as the evaluation metric of the model.
E. Resample the data set using under sampling or oversampling
Answer: A,D,E
Explanation:
Explanation
References:
https://machinelearningmastery.com/tactics-to-combat-imbalanced-classes-in-your-machine-learning-dataset/
NEW QUESTION: 2
Refer to the exhibit.
Based on the LACP neighbor status, in which mode is the SW1 port channel configured?
A. active
B. passive
C. mode on
D. auto
Answer: B
NEW QUESTION: 3
You have a SharePoint Server 2010 server farm.
You discover that users search SharePoint Server 2010 for key words, and then they search
Bing.com for the same key words.
You need to ensure that when users perform searches in SharePoint Server 2010, they receive
results from both SharePoint Server 2010 and Bing.com on the same page.
What should you do?
A. Install a dedicated services farm.
B. Add Bing.com as a content source.
C. Deploy Microsoft FAST Search Server 2010 for SharePoint.
D. Configure federated search.
Answer: D
Explanation:
Explanation/Reference:
BURGOS MNEMO: "federated search"
NEW QUESTION: 4
MSIR It is a simple, efficient and flexible graph-based function IR, A functional semantic type that can be represented Have?
A. Free variable
B. Interrupt
C. Recursion
D. Higher order function
Answer: A,C,D