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下列 C1000-059 練習題僅為 Kaozhengpro 考證寶完整題庫中的一部分。完整版本共收錄 62 題最新考題與模擬試題，幫助您全面掌握考試重點。Kaozhengpro 提供的 C1000-059 完整題庫，內容定期更新、緊貼官方考綱，能有效提升您的應試信心與通過率。若您使用題庫後仍未達到理想效果，我們將提供 全額退款保障。立即開始測試與學習，體驗專業題庫帶來的高效備考！

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IBM C1000-059 免費練習題庫

C1000-059 題庫的更新日期是 2025-10-26 .

正在練習第 1 頁，共 3 頁。

正在練習第 1 題，共 16 題

題目#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/

題目#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

題目#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

題目#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.

題目#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

考題代碼: C1000-059題庫題數: 62 題更新時間:  2025-10-26

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