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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

A. Payment schedule
B. Free text
C. Sales order
D. Sub ledger
Answer: B,C
Explanation:
Explanation
See below:

NEW QUESTION: 3
Between which functions in the FI-MM module does a direct relationship exist? (Multi) (Choose Three)
A. Purchasing Invoice Verification.
B. Requirement planning- Invoice Verification
C. Inventory Audit-Invoice Verification.
D. Invoice verification- Account Payable
E. Goods issue to a production order G/L account.
Answer: A,D,E