最新IBM C1000-059考试练习题库, 帮您学习C1000-059考试知识点

下列C1000-059练习题是IBM C1000-059完整题库的一部分. C1000-059完整练习题库共有62道题. Examook最新C1000-059练习题库可以助您顺利通过考试. 如果您使用我们的题库没有效果, 我们将全额退还您的购买费用. 想要测试和学习Eaxmook C1000-059练习题库? 现在开始吧!

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IBM C1000-059 练习题库

C1000-059 w练习题库的更新日期是 2025-03-14 .

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题目#1

The formula for recall is given by (True Positives) / (True Positives + False Negatives).

What is the recall for this example?

A. 0.2

B. 0.25

C. 0.5

D. 0.33

Explanation:
Reference: https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/

题目#2

When should median value be used instead of mean value for imputing missing data?

A. for skewed data

B. for real numbers

C. for normally distributed data

D. for large data sets

题目#3

Which statement is true in the context of evaluating metrics for machine learning algorithms?

A. A random classifier has AUC (the area under ROC curve) of 0.5

B. Using only one evaluation metric is sufficient

C. The F-score is always equal to precision

D. Recall of 1 (100%) is always a good result

题目#4

Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?

A. Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.

B. Do not apply any data transformation or feature extraction or feature engineering steps.

C. Leverage only deep learning algorithms.

D. Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.

题目#5

Given the following matrix multiplication:

What is the value of P?

A. C9

B. 17

C. 12

D. C7

Explanation:
Reference: https://www.mathsisfun.com/algebra/matrix-multiplying.html

考题代码: C1000-059考题数: 62 道题更新时间: 2025-03-14

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