Test Duration
30 mins
Difficulty Level
Moderate
Questions
- 12 Machine Learning MCQs
Availability
Ready to use
About the test:
The pre-employment machine learning assessment test evaluates a candidate's understanding of machine learning fundamentals like feature engineering, regression, variance, conditional probability, clustering, decision trees, nearest neighbors, Naïve Bayes, bias and overfitting. The test also assesses them on their ability to collect and prepare the dataset, train a model, evaluate the model, and iteratively improve the model's performance.
Covered skills:
Test Duration
30 mins
Difficulty Level
Moderate
Questions
Availability
Ready to use
The Machine Learning Assessment Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates.
The insights generated from this assessment can be used by recruiters and hiring managers to identify the best candidates for Machine Learning developer roles. Anti-cheating features enable you to be comfortable with conducting assessments online. The Machine Learning Assessment Test is ideal for helping recruiters identify which candidates have the skills to do well on the job.
Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.
The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.
Why we started Adaface ->We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.
These are just a small sample from our library of 10,000+ questions. The actual questions on this Machine Learning Assessment Test will be non-googleable.
🧐 Question | |||||
---|---|---|---|---|---|
Easy Gradient descent optimization | Solve | ||||
Medium Less complex decision tree model | Solve | ||||
Medium n-gram generator | Solve | ||||
Easy Sensitivity and Specificity | Solve | ||||
🧐 Question | 🔧 Skill | ||
---|---|---|---|
Easy Gradient descent optimization | 2 mins Machine Learning | Solve | |
Medium Less complex decision tree model | 2 mins Machine Learning | Solve | |
Medium n-gram generator | 2 mins Machine Learning | Solve | |
Easy Sensitivity and Specificity | 2 mins Machine Learning | Solve |
🧐 Question | 🔧 Skill | 💪 Difficulty | ⌛ Time | ||
---|---|---|---|---|---|
Gradient descent optimization | Machine Learning | Easy | 2 mins | Solve | |
Less complex decision tree model | Machine Learning | Medium | 2 mins | Solve | |
n-gram generator | Machine Learning | Medium | 2 mins | Solve | |
Sensitivity and Specificity | Machine Learning | Easy | 2 mins | Solve |
With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!
Brandon Lee, Head of People, Love, Bonito
The most important thing while implementing the pre-employment Machine Learning Assessment Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.
Email invites: You can send candidates an email invite to the Machine Learning Assessment Test from your dashboard by entering their email address.
Public link: You can create a public link for each test that you can share with candidates.
API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.
Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.
This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.
User authentication
Plagiarism detection
IP proctoring
Web proctoring
Webcam proctoring
Copy paste protection
The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.
Detta testprov för maskininlärning av maskiner består av scenariebaserade frågor som kräver att kandidater visar deras förmåga att:
För seniormaskininlärningsingenjörer kan du begära ett anpassat test. Inom 48 timmar kommer våra ämnesexperter att anpassa bedömningen i enlighet med din arbetsbeskrivning och senioritetsnivå. Ett typiskt test för äldre roller, förutom grundläggande faktorer, kommer testet att fokusera på att testa en kandidats förmåga att:
Ja absolut. Anpassade bedömningar ställs in baserat på din arbetsbeskrivning och kommer att innehålla frågor om alla måste-ha färdigheter du anger.
Vi har följande anti-cheating-funktioner på plats:
Läs mer om proctoring -funktionerna.
Det främsta att tänka på är att en bedömning är ett eliminationsverktyg, inte ett urvalsverktyg. En kompetensbedömning är optimerad för att hjälpa dig att eliminera kandidater som inte är tekniskt kvalificerade för rollen, den är inte optimerad för att hjälpa dig hitta den bästa kandidaten för rollen. Så det ideala sättet att använda en bedömning är att bestämma en tröskelpoäng (vanligtvis 55%, vi hjälper dig att jämföra) och bjuda in alla kandidater som gör poäng över tröskeln för nästa intervjurundor.
Varje AdaFace -bedömning anpassas till din arbetsbeskrivning/ idealisk kandidatperson (våra ämnesexperter kommer att välja rätt frågor för din bedömning från vårt bibliotek med 10000+ frågor). Denna bedömning kan anpassas för alla erfarenhetsnivåer.
Ja, det gör det mycket lättare för dig att jämföra kandidater. Alternativ för MCQ -frågor och ordningen på frågor randomiseras. Vi har anti-cheating/proctoring -funktioner på plats. I vår företagsplan har vi också möjlighet att skapa flera versioner av samma bedömning med frågor om liknande svårighetsnivåer.
Nej. Tyvärr stöder vi inte övningstester just nu. Du kan dock använda våra exempelfrågor för övning.
Du kan kolla in våra prisplaner.
Plattformen är helt självbetjänande, så här är ett sätt att gå vidare:
Här är en snabbguide om hur man begär en anpassad bedömning på Adaface.