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.
Deze machine learning-test vóór werkloosheid bestaat uit scenario-gebaseerde vragen die kandidaten vereisen om hun vermogen aan te tonen om:
Voor senior machine learning -ingenieurs kunt u een aangepaste test aanvragen. Binnen 48 uur zullen onze experts van het onderwerp de beoordeling aanpassen in overeenstemming met uw functiebeschrijving en anciënniteitsniveau. Een typische test voor senior rollen, naast fundamentals zal de test zich richten op het testen van het vermogen van een kandidaat om:
Ja absoluut. Aangepaste beoordelingen zijn opgezet op basis van uw functiebeschrijving en bevatten vragen over alle must-have vaardigheden die u opgeeft.
We hebben de volgende anti-cheating-functies op zijn plaats:
Lees meer over de Proctoring -functies.
Het belangrijkste om in gedachten te houden is dat een beoordeling een eliminatietool is, geen selectietool. Een vaardighedenbeoordeling is geoptimaliseerd om u te helpen kandidaten te elimineren die niet technisch gekwalificeerd zijn voor de rol, het is niet geoptimaliseerd om u te helpen de beste kandidaat voor de rol te vinden. Dus de ideale manier om een beoordeling te gebruiken is om een drempelscore te bepalen (meestal 55%, wij helpen u benchmark) en alle kandidaten uit te nodigen die boven de drempel scoren voor de volgende interviewrondes.
Elke ADAFACE -beoordeling is aangepast aan uw functiebeschrijving/ ideale kandidaatpersonage (onze experts van het onderwerp zullen de juiste vragen kiezen voor uw beoordeling uit onze bibliotheek van 10000+ vragen). Deze beoordeling kan worden aangepast voor elk ervaringsniveau.
Ja, het maakt het veel gemakkelijker voor u om kandidaten te vergelijken. Opties voor MCQ -vragen en de volgorde van vragen worden gerandomiseerd. We hebben anti-cheating/proctoring functies. In ons bedrijfsplan hebben we ook de optie om meerdere versies van dezelfde beoordeling te maken met vragen over vergelijkbare moeilijkheidsniveaus.
Nee. Helaas ondersteunen we op dit moment geen oefentests. U kunt echter onze voorbeeldvragen gebruiken voor praktijk.
U kunt onze [prijsplannen] bekijken (https://www.adaface.com/pricing/).
Ja, u kunt gratis aanmelden en een voorbeeld van deze test.
Hier is een korte handleiding over hoe een aangepaste beoordeling aanvragen op Adaface.