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More about the TestGorilla Machine Learning test

Discover the science behind this test and check out the recommended tests you may find useful alongside it in an assessment.

Scroll down for the latest validity study and suggested additional tests.

Back to the Machine Learning test page

Available languages:
English

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Administration time:

10 minutes

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Difficulty level:


Intermediate

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Number of questions:


15 questions per test, 93 in the test bank

Clock icon

Administration time:

10 minutes

Slider icon

Difficulty level:


Intermediate

List icon

Number of questions:


15 questions per test, 93 in the test bank

Scoring benchmarks

Benchmarks are available for various education levels (ranging from some high school education to Master’s degree or higher), business functions (from administrative to software development), and seniority levels (junior to senior).

Psychometric properties of the Machine Learning test

The metrics reported below are based on a sample size (N) of at least 1,000 candidates unless indicated otherwise.

Reliability: Cronbach’s alpha coefficient = .63

Face validity: Candidates rated this test as accurately measuring their skills (average score of 3.66 out of 5.00).

Criterion-related validity: Candidates with higher scores on this test received higher average ratings from the hiring team during the selection process (r = .44, N = 352).

For an in-depth look at interpreting test results, please take a look at our Science series articles: How to interpret test fact sheets (part 1): Reliability, and How to interpret test fact sheets (part 2): Validity.

For an explanation of the various terms, please refer to our Science glossary.

Reliability and validity

Sufficient data available

Analyses and checks conducted

Outcome

Reliability

Acceptable

Content validity

Acceptable

Face validity

Acceptable

Construct validity

Acceptable

Criterion-related validity

Acceptable

Group differences

Age differences

Pending

Pending

Pending

Gender differences

Acceptable

Ethnicity differences

Pending

Pending

Pending

Use these tests with the Machine Learning test

We believe that multi-measure testing is essential in a holistic hiring process because it examines the candidate as a whole, including technical skills, soft skills, and personality. Below are some tests we recommend using alongside the Machine Learning test.

Data Modeling Concepts

Looking for skilled data modelers, architects, or engineers who can effectively apply data modeling concepts? TestGorilla’s Data Modeling Concepts test is designed to assess candidates’ understanding and practical application of conceptual and logical data modeling. A solid foundation in data modeling principles is crucial for ensuring accurate and efficient database design. Our test helps you identify candidates who can contribute to your organization’s data management success. From conceptualization to normalization, our assessment evaluates their grasp of essential data modeling concepts. Optimize your hiring process today with TestGorilla’s Data Modeling Concepts test. Sign up and find your ideal candidate!
10 min

Computational Thinking

This Computational Thinking test evaluates a candidate’s knowledge of computational thinking. This screening test will help you hire technologically savvy employees who can solve complex problems, think creatively, and develop innovative solutions.
10 min
Popular

Culture add

This culture add test assesses how a candidate’s values and behaviors align with your organization values and the behaviors that would make your ideal hire successful in a specific role, based on a customized survey you fill out.
10 min
Popular

DISC

The DISC test is based on the model developed by psychologist William Marston for behavioral assessment. It classifies how we express emotions into the four behavior types of DISC: dominance (D), influence (I), steadiness (S), and conscientiousness (C).
10 min

Use TestGorilla to discover top candidates

Unlock the power of successful hiring! Streamline your hiring process, make informed decisions, and build a team that drives success. Begin your journey to a stronger team – use our Machine Learning test in your assessment and find your future top performers.