CS 422 Quiz3

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Santa Clara University *

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422

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Computer Science

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Dec 6, 2023

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1. **What is an outlier in the context of data mining?** a) A data point that conforms to the general pattern b) A common and expected value in the dataset c) A data point that deviates significantly from the norm d) A value with high frequency in the dataset **Answer: c** 2. **Which algorithm is commonly used for outlier detection? ** a) K-Means b) Decision Trees c) Isolation Forest d) Apriori **Answer: c** 3. **How does Isolation Forest detect outliers?** a) It uses distance metrics to find isolated points b) It relies on clustering techniques c) It applies association rule mining d) It uses gradient boosting for classification **Answer: a** 4. **What is the purpose of the Interquartile Range (IQR) in outlier detection?** a) It measures the spread of the entire dataset b) It helps identify the middle 50% of the data c) It defines the range of acceptable values d) It is used to identify potential outliers based on the spread of the data **Answer: d**
5. **Which of the following statements about outliers is true?** a) Outliers always indicate errors in the data b) Outliers can provide valuable insights into the data c) Outliers only exist in small datasets d) Outliers are always the result of faulty sensors or measurement devices **Answer: b**
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