Exam 8: Introduction to Data Mining

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Tess is tasked with analyzing a data set with multiple variables with various scales. To reduce the difference in scale in variables, she is following a common process called ______ to make the observations unit-free.

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Calculate the accuracy rate for the following confusion matrix. Calculate the accuracy rate for the following confusion matrix.

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Based on the following confusion matrix with a validation set of 100, Class 1 reflects the members targeted who purchased services and Class 0 reflects the non-targeted respondents who did not purchase services. Calculate the sensitivity rate. Based on the following confusion matrix with a validation set of 100, Class 1 reflects the members targeted who purchased services and Class 0 reflects the non-targeted respondents who did not purchase services. Calculate the sensitivity rate.

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The process of dividing a data set into a training, a validation, and an optimal test data set is called ________.

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The following table is a segment of Loan Data from a bank for car loans. Compute the matching coefficient between Pairs 1 and 4. The following table is a segment of Loan Data from a bank for car loans. Compute the matching coefficient between Pairs 1 and 4.

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Consider the partial data set in the table represents online hours spent shopping by age and income. The average and standard deviation for the full data set is $47,701 and $14,362, respectively. Using z-scores to standardize the observations, what is the average standard deviation of Income for the three provided? Consider the partial data set in the table represents online hours spent shopping by age and income. The average and standard deviation for the full data set is $47,701 and $14,362, respectively. Using z-scores to standardize the observations, what is the average standard deviation of Income for the three provided?

(Multiple Choice)
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The key distinction between supervised and unsupervised data mining is that the identification of the target variable is identified in supervised data mining.

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The precision, also called positive predictive value, is computed using which equation?

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Of the following selections, which is not a descriptor of principal component analysis?

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The _______ error is the average absolute percentage error, shown as a percentage of the actual value, displaying the magnitude of the errors in performance measures.

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Sandra began collecting transaction details to see if the same items were in each sales transaction. Compute the matching coefficient and Jaccard's coefficient for pairwise transaction 1 & 2. Sandra began collecting transaction details to see if the same items were in each sales transaction. Compute the matching coefficient and Jaccard's coefficient for pairwise transaction 1 & 2.

(Multiple Choice)
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Which is the best-fit definition for the use of Principal Component Analysis (PCA)?

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Cameron is performing a study on the IQ of groups in various areas. He has calculated that the average IQ of Group B is 148 with a standard deviation of 10. What is the z-score for someone with an IQ of 155?

(Multiple Choice)
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Calculate the accuracy rate for the following confusion matrix. Calculate the accuracy rate for the following confusion matrix.

(Multiple Choice)
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