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Interview Questions

Latest RapidMiner Interview Questions and Answers

by Sachin, on Jul 20, 2022 7:59:12 PM

Latest RapidMiner Interview Questions and Answers

Q1. What is RapidMiner used for?

Ans

RapidMiner provides data mining and machine learning procedures including: data loading and transformation (ETL), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment. RapidMiner is written in the Java programming language.

Q2. What is RapidMiner in Python?

Ans

RapidMiner provides a Python library on GitHub that allows you to call the RapidMiner platform from Python. You can collaborate with others using the RapidMiner repository, run processes from Python scripts, and leverage the scalable infrastructure of RapidMiner Server.

Q3. How do I add an extension to RapidMiner?

Ans

  1. Identify the Extension folder of RapidMiner Server. ...
  2. Obtain the Extension. ...
  3. Copy the Extension to the specified folder.
  4. Restart RapidMiner Server.
  5. Verify that the Extension was loaded correctly by going to Operators & Extensions in the RapidMiner Server Web interface.

Q4. What is the RapidMiner marketplace?

Ans

RapidMiner Marketplace is your one-stop site to download and share extensions for RapidMiner, the powerful code-free platform for data mining, machine learning, and predictive analytics.

RapidMiner Online Training

Q5. How do I start RapidMiner?

Ans

  1. Prepare for the installation.
  2. Create a database server, if necessary.
  3. Download RapidMiner Server.
  4. Install and configure.
  5. Start the server and complete web-based configuration.
  6. Connect to RapidMiner Studio.

Q6. What is RapidMiner AI hub?

Ans 

The RapidMiner AI Hub is about connecting people from various backgrounds to let them collaborate on AI. It's all about connecting software, pulling data from anywhere, and enabling better decisions whenever and wherever they are needed.
 

Q7. What is deep learning in Rapidminer?

Ans 

Deep learning teaches computers to do something that comes naturally to humans—learn by example. Deep learning is a subset of machine learning, differentiated by the way it structures algorithms in layers of interconnected, decision-making nodes to model more complex data.
 

Q8. What is naive Bayes in Rapidminer?

Ans 

Naive Bayes is a high-bias, low-variance classifier, and it can build a good model even with a small data set. It is simple to use and computationally inexpensive. Typical use cases involve text categorization, including spam detection, sentiment analysis, and recommender systems.
 

Q9. What is apply model in Rapidminer?

Ans

A model is first trained on an ExampleSet by another Operator, which is often a learning algorithm. Afterwards, this model can be applied on another ExampleSet. Usually, the goal is to get a prediction on unseen data or to transform data by applying a preprocessing model.

Q10. How do you get the confusion matrix in Rapidminer?

Ans

  1. Create a Table. 
  2. Enter the Predicted Values.
  3. Enter The Actual Values. 
  4. Calculate the Accuracy Rate.
  5. Determine the Misclassification Rate.
  6. Determine The True Positive Rate (Recall Value)
  7. Calculate the Precision Rate. 
  8. Determine the F-measure.

Q11. What is operator in RapidMiner?

Ans 

An operator has input and output ports; the action performed on the input ultimately leads to what is supplied to the output. Operator parameters control those actions. There are more than 1500 operators available in RapidMiner. Operators, in the Operators panel of the Design view, are both browsable and searchable.
 

Q12. What is split data in RapidMiner?

Ans 

The Split Data operator takes an ExampleSet as its input and delivers the subsets of that ExampleSet through its output ports. The number of subsets (or partitions) and the relative size of each partition are specified through the partitions parameter. The sum of the ratio of all partitions should be 1.
 

Q13. What is performance in RapidMiner?

Ans 

The Performance Vector is a list of performance criteria values. The output-performance-vector contains performance criteria calculated by this Performance operator (we call it calculated-performance-vector here).
 

Q14. What is classification in RapidMiner?

Ans 

Classification is a technique used to predict group membership for data instances. For example, you may wish to use classification to predict whether the train on a particular day will be 'on time', 'late' or 'very late'.
 

Q15. What is cross validation in RapidMiner?

Ans 

The cross validation allows you to check your models performance on one dataset which you use for training and testing. If you use a cross validation then you are in fact identifying the 'prediction error' and not the 'training error' and here is why. The cross validation splits your data into pieces.
 

Q16. What is recall in RapidMiner?

Ans

The Recall from App operator can be used for retrieving the specified object from a RapidMiner AI Hub App or the current RapidMiner Studio session. The name of the object is specified through the name parameter. The Recall from App operator is always used in combination with the Publish to App operator.

Q17. What is parameters in RapidMiner?

Ans 

Parameters are presented in the Parameters panel of RapidMiner Studio, where users can alter the parameter's values. There are several types of parameters available for defining real or integer numbers, strings, and collections of strings in combo boxes (either editable or not).
 

Q18. What are attributes in RapidMiner? 

Ans 

Special Attributes are Attributes with special roles. These are: id, label, prediction, cluster, weight and batch. Also custom roles can be assigned to Attributes. By default all special Attributes are delivered to the output port irrespective of the conditions in the Select Attribute Operator.
 

Q19. What is linear regression in Rapidminer?

Ans

Linear regression attempts to model the relationship between a scalar variable and one or more explanatory variables by fitting a linear equation to observed data.

Q20. What is squared correlation in Rapidminer?

Ans

Look for a high value of R2 (close to 1), indicating a high correlation between predicted values and actual values.

Q21. What is correlation matrix in Rapidminer? 

Ans

This Operator determines correlation between all Attributes and it can produce a weights vector based on these correlations. Correlation is a statistical technique that can show whether and how strongly pairs of Attributes are related.

Q22. What is the function of this group of operators in Rapidminer studio? 

Ans

This operator performs the aggregation functions known from SQL. This operator provides a lot of functionalities in the same format as provided by the SQL aggregation functions. SQL aggregation functions and GROUP BY and HAVING clauses can be imitated using this operator.
Topics:Interview Questions with Answers

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