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NEW QUESTION: 1
You are using a decision tree algorithm. You have trained a model that generalizes well at a tree depth equal to
10.
You need to select the bias and variance properties of the model with varying tree depth values.
Which properties should you select for each tree depth? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation
In decision trees, the depth of the tree determines the variance. A complicated decision tree (e.g. deep) has low bias and high variance.
Note: In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa. Increasing the bias will decrease the variance. Increasing the variance will decrease the bias.
References:
https://machinelearningmastery.com/gentle-introduction-to-the-bias-variance-trade-off-in-machine-learning/
NEW QUESTION: 2
What answer correctly completes the following sentence?
____________ and physical carrier sense functions are used to determine if the wireless medium is busy.
A. Passive
B. Virtual
C. Backup
D. Active
Answer: B
NEW QUESTION: 3
Where information about untrusted hosts are stored?
A. CAM table
B. MAC table
C. binding database
D. Trunk table
Answer: C
Explanation:
Explanation/Reference:
Explanation:
A switch device builds and maintains the DHCP snooping binding database, which contains information about untrusted hosts with leased IP addresses.
NEW QUESTION: 4
When importing numeric through Data sources, what happens to existing data? Select two.
A. Adds to the numeric value
B. Decreases the numeric value
C. Overwrites the numeric value
D. Erases the numeric value
Answer: A,C
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