Exam 8: Introduction to Data Mining

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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 specificity 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 specificity rate.

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Normalization is the process that makes the numerical data independent of scale.

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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 118 with a standard deviation of 12. What is the z-score for someone with an IQ of 125?

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In Excel, Analytic Solver only provides the covariance matrix for performing principal component analysis (PCA).

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Consider the partial data set in the table represents online hours spent shopping by age and income. Using the min-max transformation to normalize Income, what is the average standard deviation of Income for the chart provided? Use the min-max transformation to normalize the observations for Income spent online. Consider the partial data set in the table represents online hours spent shopping by age and income. Using the min-max transformation to normalize Income, what is the average standard deviation of Income for the chart provided? Use the min-max transformation to normalize the observations for Income spent online.

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The calculated average error measuring the average magnitude of errors in predictive performance measures is called _______.

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The principal component analysis (PCA) is a dimension reduction technique used to reduce variables without removing variables.

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Molly e-mailed her clients offering a free 30-minute massage for referrals. In the following validation set of 100, Class 1 reflects the clients predicted to provide referrals and Class 0 reflects the clients predicted to not provide referrals. -Based on the confusion matrix, what was the True Positive (TP) of current clients who provided referrals for a free massage? Molly e-mailed her clients offering a free 30-minute massage for referrals. In the following validation set of 100, Class 1 reflects the clients predicted to provide referrals and Class 0 reflects the clients predicted to not provide referrals.  -Based on the confusion matrix, what was the True Positive (TP) of current clients who provided referrals for a free massage?

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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 sensitivity, also called recall, is computed using which equation?

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Using the Manhattan distance between pairwise observations, which pairwise observation is most similar? Using the Manhattan distance between pairwise observations, which pairwise observation is most similar?

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The following table displays the weights for computing the principal components and the data for two Observations. The mean and standard deviation for x 1 are 4.2 and 1.4, respectively. The mean and standard deviation for x 2 are 6.8 and 4.8, respectively. Compute the first principal component score for Observation 1. The following table displays the weights for computing the principal components and the data for two Observations. The mean and standard deviation for x <sub>1</sub> are 4.2 and 1.4, respectively. The mean and standard deviation for x <sub>2 </sub>are 6.8 and 4.8, respectively. Compute the first principal component score for Observation 1.

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The Jaccard's coefficient is appropriate when it is more informative to match negative outcomes between observations.

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In real-world situations, data sets contain many variables. If some variables are eliminated, valuable information may be lost.

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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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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.

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Using the Manhattan distance between pairwise observations, which pairwise observation is most similar? Using the Manhattan distance between pairwise observations, which pairwise observation is most similar?

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

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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 A is 105 with a standard deviation of 10. What is the z-score for someone with an IQ of 98?

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Which chart allows for a visual representation to determine a point where a model's predictions become less useful?

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