QUESTION: 9

The formula for recall is given by (True Positives) / (True Positives + False Negatives).
What is the recall for this example?

0.2
0.25
0.5
0.33

Answer(s): B

Reference:

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

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After importing a Jupyter notebook and CSV data file into IBM Watson Studio in the IBM Public Cloud project, it is discovered that the notebook code can no longer access the CSV file.

What is the most likely reason for this problem?

CSV files cannot be used as data sources in Watson Studio.
The CSV file was converted to a binary blob and must be converted in the notebook code.
The CSV file is stored in a Cloud Object Storage.
The CSV file is stored in a Watson Machine Learning instance and is only accessible via REST API.

Answer(s): C

Reference:

https://github.com/IBM/watson-stock-market-predictor/blob/master/README.md

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QUESTION: 11

Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".

3 bigrams, 3 trigrams
4 bigrams, 4 trigrams
3 bigrams, 4 trigrams
4 bigrams, 3 trigrams

Answer(s): A

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QUESTION: 12

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

Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.
Do not apply any data transformation or feature extraction or feature engineering steps.
Leverage only deep learning algorithms.
Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.

Answer(s): B

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Free C1000-059 Exam Braindumps (page: 4)

QUESTION: 9

Reference:

QUESTION: 10

Reference:

QUESTION: 11

QUESTION: 12

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