Evaluating Model Effectiveness in Microsoft Azure Flashcards Preview

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Flashcards in Evaluating Model Effectiveness in Microsoft Azure Deck (10)
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1

What must you register in order to create an Automated ML run?

Datastore

Data science VM

Notebook VM

Dataset

Dataset

2

Which of Microsoft's Responsible AI principles concerns humans maintaining control of their AI environment?

Inclusiveness

Accountability

Transparency

Fairness

Accountability

3

Which of the following situations is likely to involve unintended bias?

Non-standard data formats

Large training dataset

Small number of compute nodes

Incomplete training data

Incomplete training data

4

What is the term used to signify the runtime environment offered by a Jupyter notebook?

Notebook VM

Kernel

Script

Model

Kernel

5

Which of the following terms involves prediction generation?

Modeling

Evaluating

Computing

Scoring

Scoring

6

Cross-validation involves splitting a dataset into training and what kind of subset?

Regression

Testing

Compute

Endpoint

Testing

7

What is the name of the draggable elements in the Azure Machine Learning designer?

Package

Library

Class

Module

Module

8

Which Azure Machine Learning designer control enables you to view the underlying source data in a pipeline?

Visualize

Deploy

Explain

Regression

Visualize

9

Overfitting is indicated when the model performs better on which type of data?

Model

Test

Training

Deployment

Training

10

Which ML term describes combining several base models into a single optimal model?

Overfitting

Regression

Classification

Ensemble

Ensemble