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This test evaluates the candidate's values regarding friendship at the workplace.

Friendship

This test assesses the candidate's attitudes and behaviors towards friendship at the workplace. It helps determine if the candidate values building and maintaining positive relationships with colleagues.

This test evaluates the candidate's values regarding generosity at the workplace.

Generosity

This test assesses the candidate's inclination towards generosity at the workplace. It helps determine if the candidate is likely to contribute to a positive and supportive work culture.

This test evaluates the candidate's values regarding genuineness in the workplace.

Genuineness

This test assesses the candidate's ability to demonstrate genuineness in various workplace scenarios. Candidates who perform well in this test are expected to prioritize authenticity, honesty, and sincerity in their interactions and behaviors.

This test evaluates the candidate's values regarding health at the workplace.

Health

This test assesses the candidate's attitudes and behaviors towards promoting and maintaining health in the workplace. It helps determine if the candidate values and prioritizes health as an important aspect of their work environment. Candidates who perform well in this test are expected to demonstrate a strong commitment to creating a healthy and safe workplace.

This test evaluates the candidate's values regarding honesty in the workplace.

Honesty

The Honesty Test assesses a candidate's inclination towards honesty and integrity in the workplace. It presents scenarios and choices that require the candidate to make decisions based on ethical principles. By performing well in this test, candidates can showcase their commitment to honesty and integrity, which are highly valued qualities in many organizations.

This test evaluates the candidate's values regarding hope at the workplace.

Hope

This test assesses the candidate's attitude towards hope at the workplace and their ability to foster a positive and optimistic environment. Candidates who perform well in this test are likely to be motivated, resilient, and able to inspire and support their colleagues.

This test evaluates if a job candidate values Humility at the workplace.

Humility

This test assesses a candidate's ability to demonstrate Humility in various workplace scenarios. It helps employers identify candidates who prioritize teamwork, respect, and self-awareness.

This test evaluates the candidate's value for independence in the workplace.

Independence

This test assesses the candidate's inclination towards working independently and making decisions without constant supervision. Candidates who score well in this test are likely to thrive in roles that require self-motivation and autonomy.

This test evaluates the candidate's values regarding justice in the workplace.

Justice

This test assesses the candidate's attitudes and behaviors related to justice and fairness in the workplace. It helps determine if the candidate is likely to promote a just and equitable work environment.

This test evaluates the candidate's values regarding kindness in the workplace.

Kindness

This test assesses the candidate's attitudes and behaviors related to kindness at the workplace. It helps determine if the candidate is likely to contribute to a positive and supportive work environment.

This test evaluates the candidate's value for learning at the workplace.

Learning

This test assesses the candidate's attitude towards learning at the workplace. It helps identify individuals who are eager to acquire new knowledge and skills, adapt to changes, and contribute to their personal and professional growth.

This test evaluates the candidate's values regarding Openness at the workplace.

Openness

This test assesses the candidate's attitudes and behaviors related to Openness in the workplace. It helps determine if the candidate values transparency, collaboration, and open communication in their work environment. Candidates who perform well in this test are likely to contribute to a positive and inclusive work culture.

This test evaluates a job candidate's value for reflection at the workplace.

Reflection

This test assesses a candidate's ability to value reflection at the workplace. It evaluates their mindset towards self-improvement, learning from mistakes, and seeking feedback.

This test evaluates the candidate's values regarding trust in the workplace.

Trust

This test assesses the candidate's attitudes and behaviors related to trust in the workplace. It helps determine if the candidate values trust, which is crucial for building strong relationships and fostering a positive work culture. Candidates who perform well in this test are likely to prioritize trust, honesty, and integrity in their professional interactions.

This test evaluates the candidate's values regarding community at the workplace.

Community

This test assesses the candidate's attitudes and behaviors towards building and maintaining a strong sense of community at work. It helps determine if the candidate is likely to contribute positively to team dynamics and foster a supportive work environment.

This machine learning (ML) test assesses candidates’ technical knowledge of core machine learning concepts such as regularization, classification, and unsupervised learning. This machine learning test will help you to identify developers proficient in ML.

Unsupervised learning, outlier detection, and dimensionality reduction

Classical classification methods and support vector machines

Tree-based and ensemble methods for regression and classification

Classical regression methods and regularization

In our age of information and technology, businesses across industries have to deal with massive amounts of data. It is crucial to leverage this data to obtain insights that can drive decision-making. Harnessing the power of machine learning can help your business to more easily adapt to ever-changing market conditions, improve business operations, and gain a deeper understanding of consumer needs.

This machine learning test evaluates candidates’ knowledge of the fundamental concepts in machine learning, including both classical and tree-based ensemble methods for regression and classification, supervised and unsupervised learning, outlier detection, and dimensionality reduction. The questions on this machine learning test focus on different scenarios when working with data, covering the different ML functionalities for dealing with each of them.

Candidates who perform well on the test have a strong knowledge of core machine learning approaches and can make the best use of these approaches when working with different types of information. They have all the necessary skills to help your business harness machine learning to power data-driven decision-making.

Number of current data points plus one

Number of current data points minus one

You are applying the K-nearest neighbors regressor and want the value of the new observation to be equal to the averagevalue of all data points. What should be the number of neighbors for the K-nearest neighbor regressor?

You are applying gender classification and want to estimate the portion of correctly classified observation. Which metric should you use?

Find the highest price and set it as the maximal threshold for RSS.

Find the lowest price and set it as the minimal threshold for RSS

Calculate the median house price and compute the difference.

Calculate the average house price and compute the difference.

You are applying a decision-tree regressor on house prices and have got 12,345 as the value of the residual sum of squares(RSS). How should you find an acceptable value for RSS?

Actual distance between the cities using existing roads.

Manhattan distance using latitude and longitude.

Correlation coefficient using latitude and longitude.

Euclidean distance using latitude and longitude.

You are applying k-means clustering on geospatial data of cities in the USA to determine cities falling in the same climateregion. The available data contains the latitudes and longitudes of cities. Which distance metric should you use?

Friendship

2 mins

Generosity

2 mins

Genuineness

2 mins

Health

2 mins

Honesty

2 mins

Hope

2 mins

Humility

2 mins

Independence

2 mins

Justice

2 mins

Kindness

2 mins

Learning

2 mins

Openness

2 mins

Reflection

2 mins

Trust

2 mins

Community

2 mins

Machine Learning

15 mins