Latest RapidMiner Interview Questions and Answers
by Sachin, on Jul 20, 2022 7:59:12 PM
Q1. What is RapidMiner used for?
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?
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?
- Identify the Extension folder of RapidMiner Server. ...
- Obtain the Extension. ...
- Copy the Extension to the specified folder.
- Restart RapidMiner Server.
- Verify that the Extension was loaded correctly by going to Operators & Extensions in the RapidMiner Server Web interface.
Q4. What is the RapidMiner marketplace?
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.
Q5. How do I start RapidMiner?
- Prepare for the installation.
- Create a database server, if necessary.
- Download RapidMiner Server.
- Install and configure.
- Start the server and complete web-based configuration.
- Connect to RapidMiner Studio.
Q6. What is RapidMiner AI hub?
Q7. What is deep learning in Rapidminer?
Q8. What is naive Bayes in Rapidminer?
Q9. What is apply model in Rapidminer?
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?
- Create a Table.
- Enter the Predicted Values.
- Enter The Actual Values.
- Calculate the Accuracy Rate.
- Determine the Misclassification Rate.
- Determine The True Positive Rate (Recall Value)
- Calculate the Precision Rate.
- Determine the F-measure.
Q11. What is operator in RapidMiner?
Q12. What is split data in RapidMiner?
Q13. What is performance in RapidMiner?
Q14. What is classification in RapidMiner?
Q15. What is cross validation in RapidMiner?
Q16. What is recall in RapidMiner?
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?
Q18. What are attributes in RapidMiner?
Q19. What is linear regression in Rapidminer?
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?
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?
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?
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.