A Computer Science portal for geeks. In this technique,  a model is usually given a dataset of a known data on which training (training data set) is run and a dataset of unknown data against which the model is tested. Later, the resultant predictions are combined using voting or averaging. So, the answer to this decision tree interview questions and answers is C. Q8. Answer: Processing a high dimensional data on a limited memory machine is a strenuous task, your interviewer would be fully aware of that. Our experts come from a variety of backgrounds but have one thing in common: they are authorities on the job market. To help you understand this concept and at the same time to help you get that extra zing in your interview flair, we have made a comprehensive list of decision tree interview questions and decision tree interview questions and answers. 42) What are the components of relational evaluation techniques? We know, in a normal distribution, ~68% of the data lies in 1 standard deviation from mean (or mode, median), which leaves ~32% of the data unaffected. Let's look at an example of how a decision tree is constructed. If the decisions really seem illogical, like unsupported leaps of faith, or to come from out of the left-field, though, be wary of the candidate. how can assume mean and median to be same. Best Online MBA Courses in India for 2020: Which One Should You Choose? They exploit behavior of other users and items in terms of transaction history, ratings, selection and purchase information. What cross validation technique would you use on time series data set? A word of caution: correlation is scale sensitive; therefore column normalization is required for a meaningful correlation comparison. In simple words, the tree algorithm find the best possible feature which can divide the data set into purest possible children nodes. But, the validation error is 34.23. However, the algorithm of random forest is like a black box. You will see two statements listed below. Q24. Interview Questions to Assess a Candidate's Decision Making Skills, Candidate's Decision Making Question Answers Interpreted, Interview Questions to Ask a Candidate for a Potential Manager Job, 18 Cultural Fit Interview Questions to Assess Your Candidate's Fit, Best Interview Questions Employers Ask Job Applicants, How to Assess the Planning Skills of a Potential Employee, Teamwork Interview Questions for Employers to Ask Candidates, Sample Job Interview Questions for Employers to Ask, How to Answer Problem-Solving Interview Questions, Types of Job Interview Questions You May Be Asked, Sample Behavioral Job Interview Questions and Tips for Answering. Answer in only in TRUE or FALSE. The ability to grasp what is happening behind the scenes or under the hood really differentiates decision trees with any other machine learning algorithm out there. As such, they don't want to hear the same prepared answers to the expected questions. 12) List down various approaches for machine learning? One approach to dimensionality reduction is to generate a large and carefully constructed set of trees against a target attribute and then use each attribute’s usage statistics to find the most informative subset of features. In presence of many variables with small / medium sized effect, use ridge regression. Ans. Answer: You should say, the choice of machine learning algorithm solely depends of the type of data. Hi, really an interesting collection of answers. Ans. Why? Waiting for your reply in anticipation . Then we remove one input feature at a time and train the same model on n-1 input features n times. Set up a short mock interview and have him or her ask you common interview questions for your industry. If you were to understand how the boosting of trees is done, you will understand and will be able to differentiate the correct statement from the statement, which is false. The different types of techniques in Machine Learning are. Using online learning algorithms like Vowpal Wabbit (available in Python) is a possible option.

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