What Is Cross-Validation

question 14

Multiple Choice

What is cross-validation?

• A)It is the assessment of a model's level of errors across different samples, which is useful as it allows us to assess how many errors there might be in a model using different samples.
• B)It is the comparison of your findings with the work of others, using the same data.
• C)It is the use of theoretical literature to build your valid data model.
• D)It is the assessment of a model's accuracy across different samples, which is useful as it allows us to assess how well our model might predict the outcome in different samples.

Grasp the concepts of information overload and strategies for coping with it.

Assess the importance of context in communication, especially in high-context cultures.

Acknowledge the significance of word choice and the potential implications of red flag words in communication.

Understand the role and definition of theories in explaining events and predicting outcomes.

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Definitions:

Stress

A physical, mental, or emotional factor that causes bodily or mental tension and may be a factor in disease causation.

Control

in experimental research, refers to the practice of limiting factors that could distort or influence the experiment's outcomes outside of the independent variable.

Situation

A set of circumstances or the environment in which an event occurs.

Surprise

An unexpected or astonishing event, fact, or thing.