Question 1

The following table reflects a partial Analytic Solver's Performance measure for a hotel cost during an NFL game night. What is the MAD implying?

Accepted Answer

A)  The predicted mean absolute deviation is 0.53 of the mean absolute percentage error. 
B)  The predicted cost is relatively low, providing the need for full tree. 
C)  The predicted average cost is lesser than the standard error, thus impure. 
D)  The predicted cost on average differs from the actual cost by $52.56. 
A)  The predicted mean absolute deviation is 0.53 of the mean absolute percentage error. 
B)  The predicted cost is relatively low, providing the need for full tree. 
C)  The predicted average cost is lesser than the standard error, thus impure. 
D)  The predicted cost on average differs from the actual cost by $52.56. D

Question 2

Using the following pruning table, which tree is the best-pruned tree?

Accepted Answer

A)  Level 3 
B)  Level 2 
C)  Level 1 
D)  Additional Levels needed to identify best-pruned tree. 
A)  Level 3 
B)  Level 2 
C)  Level 1 
D)  Additional Levels needed to identify best-pruned tree. A

Question 3

Decision trees produced by the CART algorithm are binary, meaning that there are two branches for each decision node.

Accepted Answer

A) True 
 B)False  True

Question 4

Using the following pruning table, which tree is the minimum error tree?

Accepted Answer

A)  Level 3 
B)  Level 2 
C)  Level 1 
D)  Additional Levels needed to identify minimum tree among candidate trees. 
A)  Level 3 
B)  Level 2 
C)  Level 1 
D)  Additional Levels needed to identify minimum tree among candidate trees.

Question 5

The overall MSE split for Age = 25 is $22,987,111.29 and for Age = 23 is $21,983,723.40. Of the two presented, Age = 25 is slightly higher and has a lower level of impurity for constructing a regression tree.

Accepted Answer

A) True 
 B)False

Question 6

In a R complexity parameter table, the xerror column represents:

Accepted Answer

A)  the cross-validation errors associated with each candidate tree. 
B)  the recommended measure for the full tree. 
C)  the maximum error point for the first node split. 
D)  the root node type argument point. 
A)  the cross-validation errors associated with each candidate tree. 
B)  the recommended measure for the full tree. 
C)  the maximum error point for the first node split. 
D)  the root node type argument point.

Question 7

A pure subset contains leaf nodes where cases have contradicting values to the target variable, to enhance the variable case outcomes and allow for further splits.

Accepted Answer

A) True 
 B)False

Question 8

Robin wanted to know if the age partition chosen for her data was the best fit for her 30 case, 90% Class 1, 10% Class 0 partition. She completed the Gini impurity index with the results of (Age < 32) = 0.2034 and (Age $\ge$ 32) = 0.2786. What is the weighted combination and what did partition at Age 32 produce?

Accepted Answer

A)  Robin was able to reduce the Gini index from 0.2786 to 0.2507, confirming the best split for age. 
B)  Robin was able to reduce the Gini index from 0.2786 to 0.20, confirming the best split for age. 
C)  Robin was able to reduce the Gini index from 0.2786 to 0.2109, confirming the best split for age. 
D)  Robin realized with the 0.2507 weighted average, the age split was not the best split for the age range. 
A)  Robin was able to reduce the Gini index from 0.2786 to 0.2507, confirming the best split for age. 
B)  Robin was able to reduce the Gini index from 0.2786 to 0.20, confirming the best split for age. 
C)  Robin was able to reduce the Gini index from 0.2786 to 0.2109, confirming the best split for age. 
D)  Robin realized with the 0.2507 weighted average, the age split was not the best split for the age range.

Question 9

Which tree is the least complex and contains the smallest validation error?

Accepted Answer

A)  best-pruned tree 
B)  full-grown tree 
C)  minimum error tree 
D)  categorical tree 
A)  best-pruned tree 
B)  full-grown tree 
C)  minimum error tree 
D)  categorical tree

Question 10

Based on the following values for income, what are the possible split points?
{12,665, 15,432, 28,763, 34,876, 43,987, 53,677}

Accepted Answer

A)  {14048.5, 22097.5, 31819.5, 39431.5, 48832, 53677} 
B)  {12665, 14048.5, 22097.5, 31819.5, 39431.5, 48832} 
C)  {14048.5, 22097.5, 31819.5, 39431.5, 48832} 
D)  {14048, 22097, 31819, 39431, 48832} 
A)  {14048.5, 22097.5, 31819.5, 39431.5, 48832, 53677} 
B)  {12665, 14048.5, 22097.5, 31819.5, 39431.5, 48832} 
C)  {14048.5, 22097.5, 31819.5, 39431.5, 48832} 
D)  {14048, 22097, 31819, 39431, 48832}

Question 11

Based on the following sorted 20 values for age, what are the possible split points?
{20, 22, 24, 26, 28, 31, 32, 34, 35, 40, 42, 43, 45, 47, 49, 51, 52, 53, 55, 57}

Accepted Answer

A)  {20, 21, 23, 25, 27, 29.5, 31.5, 33, 34.5, 37.5, 41, 42.5, 44, 46, 48, 50, 51.5, 52.5, 54, 56} 
B)  {21, 23, 25, 27, 29.5, 31.5, 33, 34.5, 37.5, 41, 42.5, 44, 46, 48, 50, 51.5, 52.5, 54, 56, 57} 
C)  {0, 21, 23, 25, 27, 29.5, 31.5, 33, 34.5, 37.5, 41, 42.5, 44, 46, 48, 50, 51.5, 52.5, 54, 56} 
D)  {21, 23, 25, 27, 29.5, 31.5, 33, 34.5, 37.5, 41, 42.5, 44, 46, 48, 50, 51.5, 52.5, 54, 56} 
A)  {20, 21, 23, 25, 27, 29.5, 31.5, 33, 34.5, 37.5, 41, 42.5, 44, 46, 48, 50, 51.5, 52.5, 54, 56} 
B)  {21, 23, 25, 27, 29.5, 31.5, 33, 34.5, 37.5, 41, 42.5, 44, 46, 48, 50, 51.5, 52.5, 54, 56, 57} 
C)  {0, 21, 23, 25, 27, 29.5, 31.5, 33, 34.5, 37.5, 41, 42.5, 44, 46, 48, 50, 51.5, 52.5, 54, 56} 
D)  {21, 23, 25, 27, 29.5, 31.5, 33, 34.5, 37.5, 41, 42.5, 44, 46, 48, 50, 51.5, 52.5, 54, 56}

Question 12

Before constructing a decision tree, one of the first steps is identifying possible splits of the predictor variable.

Accepted Answer

A) True 
 B)False

Question 13

A split at the $32,000 Income point creates a top and bottom partition. Compute the overall (weighted) Gini index given an Income Split of $32,000.

Accepted Answer

A)  MSEsplit (Income=$36,000) = 0.2667 
B)  MSEsplit (Income=$36,000) = 0.0000 
C)  MSEsplit (Income=$36,000) = 0.4959 
D)  MSEsplit (Income=$36,000) = 0.3637 
A)  MSEsplit (Income=$36,000) = 0.2667 
B)  MSEsplit (Income=$36,000) = 0.0000 
C)  MSEsplit (Income=$36,000) = 0.4959 
D)  MSEsplit (Income=$36,000) = 0.3637

Question 14

Using the following sample of a regression prune log, the minimum error tree is decision node # 19 with a standard error of 4.689492 (not shown). Using the information provided, which decision node number represents the best-pruned tree?

Accepted Answer

A)  decision node #21 
B)  decision node #5 
C)  decision node #4 
D)  decision node #17 
A)  decision node #21 
B)  decision node #5 
C)  decision node #4 
D)  decision node #17

Question 15

The overall MSE split for Age = 24 is $21,987,111.29 and for Age = 23 is $20,983,723.40. Of the two presented, Age = 24 is slightly higher and has a lower level of impurity for constructing a regression tree.

Accepted Answer

A) True 
 B)False

Question 16

When a target variable is categorical, the CART algorithm produces a __________ tree to predict the class memberships of new cases.

Accepted Answer

A)  classification 
B)  regression 
C)  minimum 
D)  pruned 
A)  classification 
B)  regression 
C)  minimum 
D)  pruned

Question 17

If 80% of the cases belong to Class 0 and 20% belong to Class 1, what is the Gini index?

Accepted Answer

A)  0.32 
B)  0 
C)  0.40 
D)  0.16 
A)  0.32 
B)  0 
C)  0.40 
D)  0.16

Question 18

Viewing the results in the following scatterplot, for the 11 cases to the left subset (Age < 40), two belong to Class 1 and nine belong to Class 0. In the right subset (Age ? 40) three belong to Class 1 and one belong to Class 0. What is the Index score for the two subsets?

Accepted Answer

A)  (Age < 40) = 0.3636; (Age $\ge$ 40) = 0.50 
B)  (Age < 40) = 0.20; (Age $\ge$ 40) = 0.25 
C)  (Age < 40) = 0.298; (Age $\ge$ 40) = 0.375 
D)  (Age < 40) = 0.375; (Age $\ge$ 40) = 0.298 
A)  (Age < 40) = 0.3636; (Age $\ge$ 40) = 0.50 
B)  (Age < 40) = 0.20; (Age $\ge$ 40) = 0.25 
C)  (Age < 40) = 0.298; (Age $\ge$ 40) = 0.375 
D)  (Age < 40) = 0.375; (Age $\ge$ 40) = 0.298

Question 19

The following table reflects a partial Analytic Solver's Performance measure for a hotel cost during an NFL game night. What is the MAD implying?

Accepted Answer

A)  The predicted mean absolute deviation is 0.51 of the mean absolute percentage error. 
B)  The predicted cost is relatively low, providing the need for full tree. 
C)  The predicted average cost is lesser than the standard error, thus impure. 
D)  The predicted cost on average differs from the actual cost by $50.56. 
A)  The predicted mean absolute deviation is 0.51 of the mean absolute percentage error. 
B)  The predicted cost is relatively low, providing the need for full tree. 
C)  The predicted average cost is lesser than the standard error, thus impure. 
D)  The predicted cost on average differs from the actual cost by $50.56.

Question 20

Based on the Gini index, 0.10 implies a higher degree of purity because it is closer to 0 than 0.5.

Accepted Answer

A) True 
 B)False

The following table reflects a partial Analytic Solver's Performance measure for a hotel cost during an NFL game night. What is the MAD implying?

Using the following pruning table, which tree is the best-pruned tree?

Decision trees produced by the CART algorithm are binary, meaning that there are two branches for each decision node.

Using the following pruning table, which tree is the minimum error tree?

The overall MSE split for Age = 25 is $22,987,111.29 and for Age = 23 is $21,983,723.40. Of the two presented, Age = 25 is slightly higher and has a lower level of impurity for constructing a regression tree.

In a R complexity parameter table, the xerror column represents:

A pure subset contains leaf nodes where cases have contradicting values to the target variable, to enhance the variable case outcomes and allow for further splits.

Which tree is the least complex and contains the smallest validation error?

Based on the following values for income, what are the possible split points? {12,665, 15,432, 28,763, 34,876, 43,987, 53,677}

Based on the following sorted 20 values for age, what are the possible split points? {20, 22, 24, 26, 28, 31, 32, 34, 35, 40, 42, 43, 45, 47, 49, 51, 52, 53, 55, 57}

Before constructing a decision tree, one of the first steps is identifying possible splits of the predictor variable.

A split at the $32,000 Income point creates a top and bottom partition. Compute the overall (weighted) Gini index given an Income Split of $32,000.

Using the following sample of a regression prune log, the minimum error tree is decision node # 19 with a standard error of 4.689492 (not shown). Using the information provided, which decision node number represents the best-pruned tree?

The overall MSE split for Age = 24 is $21,987,111.29 and for Age = 23 is $20,983,723.40. Of the two presented, Age = 24 is slightly higher and has a lower level of impurity for constructing a regression tree.

When a target variable is categorical, the CART algorithm produces a __________ tree to predict the class memberships of new cases.

If 80% of the cases belong to Class 0 and 20% belong to Class 1, what is the Gini index?

Viewing the results in the following scatterplot, for the 11 cases to the left subset (Age < 40), two belong to Class 1 and nine belong to Class 0. In the right subset (Age ? 40) three belong to Class 1 and one belong to Class 0. What is the Index score for the two subsets?

The following table reflects a partial Analytic Solver's Performance measure for a hotel cost during an NFL game night. What is the MAD implying?

Based on the Gini index, 0.10 implies a higher degree of purity because it is closer to 0 than 0.5.

Introduction to Business Analytics

Data Management and Wrangling

Data Visualization and Summary Measures

Probability and Probability Distributions

Statistical Inference

Regression Analysis

Advanced Regression Analysis

Introduction to Data Mining

Supervised Data Mining: K-Nearest Neighbors and Naãve Bayes

Unsupervised Data Mining

Forecasting With Time Series Data

Introduction to Prescriptive Analytics

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Exam 10: Supervised Data Mining: Decision Trees

The following table reflects a partial Analytic Solver's Performance measure for a hotel cost during an NFL game night. What is the MAD implying?

Using the following pruning table, which tree is the best-pruned tree?

Decision trees produced by the CART algorithm are binary, meaning that there are two branches for each decision node.

Using the following pruning table, which tree is the minimum error tree?

The overall MSE split for Age = 25 is $22,987,111.29 and for Age = 23 is $21,983,723.40. Of the two presented, Age = 25 is slightly higher and has a lower level of impurity for constructing a regression tree.

In a R complexity parameter table, the xerror column represents:

A pure subset contains leaf nodes where cases have contradicting values to the target variable, to enhance the variable case outcomes and allow for further splits.

Which tree is the least complex and contains the smallest validation error?

Based on the following values for income, what are the possible split points? {12,665, 15,432, 28,763, 34,876, 43,987, 53,677}

Based on the following sorted 20 values for age, what are the possible split points? {20, 22, 24, 26, 28, 31, 32, 34, 35, 40, 42, 43, 45, 47, 49, 51, 52, 53, 55, 57}

Before constructing a decision tree, one of the first steps is identifying possible splits of the predictor variable.

A split at the $32,000 Income point creates a top and bottom partition. Compute the overall (weighted) Gini index given an Income Split of $32,000.

Using the following sample of a regression prune log, the minimum error tree is decision node # 19 with a standard error of 4.689492 (not shown). Using the information provided, which decision node number represents the best-pruned tree?

The overall MSE split for Age = 24 is $21,987,111.29 and for Age = 23 is $20,983,723.40. Of the two presented, Age = 24 is slightly higher and has a lower level of impurity for constructing a regression tree.

When a target variable is categorical, the CART algorithm produces a __________ tree to predict the class memberships of new cases.

If 80% of the cases belong to Class 0 and 20% belong to Class 1, what is the Gini index?

Viewing the results in the following scatterplot, for the 11 cases to the left subset (Age < 40), two belong to Class 1 and nine belong to Class 0. In the right subset (Age ? 40) three belong to Class 1 and one belong to Class 0. What is the Index score for the two subsets?

The following table reflects a partial Analytic Solver's Performance measure for a hotel cost during an NFL game night. What is the MAD implying?

Based on the Gini index, 0.10 implies a higher degree of purity because it is closer to 0 than 0.5.

Introduction to Business Analytics

Data Management and Wrangling

Data Visualization and Summary Measures

Probability and Probability Distributions

Statistical Inference

Regression Analysis

Advanced Regression Analysis

Introduction to Data Mining

Supervised Data Mining: K-Nearest Neighbors and Naãve Bayes

Unsupervised Data Mining

Forecasting With Time Series Data

Introduction to Prescriptive Analytics

Filters