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NEW QUESTION: 1
What is a collection of connected IP routing prefixes, under the control of one operator, that presents a common, clearly defined, routing policy to the Internet?
A. Broadcast domain
B. IS-IS level 1
C. Autonomous System
D. OSPF area 0
Answer: C
NEW QUESTION: 2
Which of the following inventory classifications would include semi-finished goods at an outside supplier?
A. Work in process
B. Raw materials
C. Finished goods
D. Maintenance, repair, and operating supplies
Answer: A
NEW QUESTION: 3
You need to identify which columns are more predictive by using a statistical method. Which module should you use?
A. Filter Based Feature Selection
B. Group Data into Bins
C. Principal Component Analysis
D. Tune Model Hyperparameters
Answer: A
Explanation:
Explanation/Reference:
Explanation:
In machine learning and statistics, feature selection is the process of selecting a subset of relevant, useful features to use in building an analytical model. Feature selection helps narrow the field of data to the most valuable inputs. Narrowing the field of data helps reduce noise and improve training performance.
Feature selection is an important tool in machine learning. Machine Learning Studio provides multiple methods for performing feature selection. Choose a feature selection method based on the type of data that you have, and the requirements of the statistical technique that's applied.
References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature- selection-modules