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NEW QUESTION: 1
You create an experiment in Azure Machine Learning Studio. You add a training dataset that contains 10,000 rows. The first 9,000 rows represent class 0 (90 percent).
The remaining 1,000 rows represent class 1 (10 percent).
The training set is imbalances between two classes. You must increase the number of training examples for class 1 to 4,000 by using 5 data rows. You add the Synthetic Minority Oversampling Technique (SMOTE) module to the experiment.
You need to configure the module.
Which values should you use? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: 300
You type 300 (%), the module triples the percentage of minority cases (3000) compared to the original dataset (1000).
Box 2: 5
We should use 5 data rows.
Use the Number of nearest neighbors option to determine the size of the feature space that the SMOTE algorithm uses when in building new cases. A nearest neighbor is a row of data (a case) that is very similar to some target case. The distance between any two cases is measured by combining the weighted vectors of all features.
By increasing the number of nearest neighbors, you get features from more cases.
By keeping the number of nearest neighbors low, you use features that are more like those in the original sample.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
NEW QUESTION: 2
展示を参照してください。
2001年のブランチネットワークのユーザー。db80.4はインターネットにアクセスできないと報告しています。この問題を解決するために、IPv6ルーターEIGRP 100構成モードで発行されるコマンドはどれですか。
A. R1でeigrp stubコマンドを発行します
B. R2でno neighbor stubコマンドを発行します。
C. R2でno eighrp stubコマンドを発行します。
D. R2でeighrコマンドを発行します。
Answer: B
NEW QUESTION: 3
Some of the messages entering a JMS queue are expiring and are being removed from the queue. You need better insight regarding these expired messages.
Which mechanism helps achieve this? (Choose the best answer.)
A. Associate an ExpirationEventHandler object for the queue.
B. Configure an Expiration Event Handler for the JMS Queue which logs the expired message properties.
C. Set the "Log Expired Message" attribute to true for the queue.
D. Enable Message Life Cycle logging for the JMS Queue.
Answer: A
Explanation:
Explanation
The Expiration Policy log option removes expired messages from the system and writes an entry to the server log file indicating that the messages have been removed from the system. The actual information that is logged is defined by the Expiration Logging Policy.