WEKA MCQs

By: Prof. Dr. Fazal Rehman | Last updated: August 7, 2024

1. What is WEKA primarily used for in data mining?
a) Image processing
b) Video editing
c) Machine learning and data analysis
d) Database management

Answer: c) Machine learning and data analysis

2. Which file format is commonly used to load data into WEKA?
a) .csv
b) .arff
c) .txt
d) .xml

Answer: b) .arff

3. What does the Explorer interface in WEKA provide?
a) An environment for data preprocessing, classification, clustering, association, and visualization
b) A command-line interface for running algorithms
c) A tool for creating and editing ARFF files
d) A graphical interface for database management

Answer: a) An environment for data preprocessing, classification, clustering, association, and visualization

4. In WEKA, what is the purpose of the “Preprocess” tab?
a) To visualize data
b) To apply machine learning algorithms
c) To load and manipulate datasets
d) To generate reports

Answer: c) To load and manipulate datasets

5. Which of the following is NOT a classifier available in WEKA?
a) J48
b) NaiveBayes
c) SVM
d) FFT

Answer: d) FFT

6. What is the primary function of the “Classify” tab in WEKA?
a) To perform data preprocessing
b) To apply classification algorithms to the dataset
c) To cluster data points into groups
d) To visualize data

Answer: b) To apply classification algorithms to the dataset

7. Which evaluation metric is commonly used in WEKA to assess the performance of classification models?
a) Precision and recall
b) Mean squared error (MSE)
c) R-squared
d) Accuracy

Answer: d) Accuracy

8. What does the “Cluster” tab in WEKA allow you to do?
a) Apply clustering algorithms to segment the data
b) Perform association rule mining
c) Preprocess the data
d) Visualize the dataset

Answer: a) Apply clustering algorithms to segment the data

9. Which of the following is a popular clustering algorithm available in WEKA?
a) Apriori
b) K-Means
c) RandomForest
d) J48

Answer: b) K-Means

10. What is the purpose of the “Associate” tab in WEKA?
a) To visualize data relationships
b) To apply association rule mining algorithms
c) To classify data into predefined categories
d) To preprocess data

Answer: b) To apply association rule mining algorithms

11. How can you evaluate the performance of a machine learning model in WEKA?
a) Using cross-validation techniques
b) By visualizing the data
c) By preprocessing the data
d) By clustering the data

Answer: a) Using cross-validation techniques

12. What is the purpose of the “Visualize” tab in WEKA?
a) To preprocess the data
b) To apply machine learning algorithms
c) To visualize the data and results
d) To save the model

Answer: c) To visualize the data and results

13. In WEKA, what is the ARFF file format used for?
a) To store audio files
b) To store structured data for use in machine learning
c) To store image data
d) To store video files

Answer: b) To store structured data for use in machine learning

14. Which of the following is a benefit of using WEKA for data mining?
a) It is a commercial tool
b) It requires extensive programming knowledge
c) It provides a graphical user interface for easy use
d) It is only suitable for small datasets

Answer: c) It provides a graphical user interface for easy use

15. What is the purpose of the “Filter” function in WEKA?
a) To visualize the dataset
b) To apply transformations to the dataset
c) To classify the dataset
d) To cluster the dataset

Answer: b) To apply transformations to the dataset

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