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Questions and Answers
What is the difference between classification and prediction in data analysis?
What is the difference between classification and prediction in data analysis?
Classification predicts categorical labels, while prediction models continuous valued functions.
Provide an example of a classification model.
Provide an example of a classification model.
Categorizing bankloan applications as safe or risky.
What kind of model is used for predicting the expenditures of potential customers on computer equipment?
What kind of model is used for predicting the expenditures of potential customers on computer equipment?
Prediction model
What is regression analysis commonly used for?
What is regression analysis commonly used for?
Describe the two steps involved in the data classification process.
Describe the two steps involved in the data classification process.
What is the purpose of the learning step in classification?
What is the purpose of the learning step in classification?
Explain the significance of the class label attribute in the learning step.
Explain the significance of the class label attribute in the learning step.
Why is it important to use a test set for estimating the predictive accuracy of the classifier?
Why is it important to use a test set for estimating the predictive accuracy of the classifier?
What is the purpose of data cleaning in the context of classification or prediction?
What is the purpose of data cleaning in the context of classification or prediction?
How are training tuples referred to in the context of classification?
How are training tuples referred to in the context of classification?
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