(c) As Casey reviews the best-pruned tree, he is confused by the leaf node corresponding to the sequence of decision rules of "SnapPercent z 90.28, SnapPercent < 95.37, Awards < 6.75, GamesMissed < 1.5." This sequence of decision rules results in an estimate of $50 million of guaranteed money, but the tree states that zero observations occur in the corresponding partition. If zero observations occur in this partition, how can the regression tree provide an estimate of $50 million? Explain this part of the regression tree to Casey by referring to how the best-pruned tree is obtained. The predicted guaranteed money of $50 million for observations satisfying "SnapPercent z 90.28, SnapPercent < 95.37, Awards < 6.75, GamesMissed < 1.5" is based on the average guaranteed money of the observations in the - Select your answer set that satisfy this sequence of decision rules. The best-pruned tree is obtained by - Select your answer - ✓the initial regression tree to obtain the tree with the - Select your answer-leaf nodes while achieving the minimum classification error rate on the set has zero observations that satisfy "SnapPercent 2 90.28, SnapPercent < 95.37, Awards < 6.75, GamesMissed < 1.5" which just means that this leaf node set. In this case, the-Select your answer to the classification error rate of this tree. - Select your answer Select your answer

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Please help with LETTER C!!

-select your answer-

(training, validation) set that satisfy

the best pruned tree is obtained by (removing leaf nodes from, adding leaf nodes to)

the initial regression tree to obtain the tree with the (fewest, greatest)

(training, validation) set.

In this case the (training, validation) set

(does not contibute, contributes) to the classification

Transcribed Image Text:(a) Titus Johnston's variable values are: SnapPercent = 96, Awards = 7, and GamesMissed = 3. How much guaranteed money does the regression tree predict that a player with Titus Johnson's profile should earn in his contract? If required, round your answers to two decimal places. The predicted result is $ 32.74 million of guaranteed money. (b) Casey feels that Titus was denied an additional award in the past season due to some questionable voting by some sports media. If Titus had won this additional award, how much additional guaranteed money would the regression tree predict for Titus versus the prediction in part (a)? I. An additional award would increase the amount of guaranteed money by $8.91 million. II. An additional award would increase the amount of guaranteed money by $13.99 million. III. An additional award would increase the amount of guaranteed money by $17.79 million. IV. An additional award would increase the amount of guaranteed money by $26.02 million. V. An additional award would not change the amount of guaranteed money. II. (c) As Casey reviews the best-pruned tree, he is confused by the leaf node corresponding to the sequence of decision rules of "SnapPercent ≥ 90.28, SnapPercent < 95.37, Awards < 6.75, GamesMissed < 1.5." This sequence of decision rules results in an estimate of $50 million of guaranteed money, but the tree states that zero observations occur in the corresponding partition. If zero observations occur in this partition, how can the regression tree provide an estimate of $50 million? Explain this part of the regression tree to Casey by referring to how the best-pruned tree is obtained. The predicted guaranteed money of $50 million for observations satisfying "SnapPercent ≥ 90.28, SnapPercent < 95.37, Awards < 6.75, GamesMissed < 1.5" is based on the average guaranteed money of the observations in the Select your answer - ✓ set that satisfy this sequence of decision rules. The best-pruned tree is obtained by - Select your answer - ✓the initial regression tree to obtain the tree with the - Select your answer - leaf nodes while achieving the minimum classification error rate on the Select your answer set. In this case, the - Select your answer - ✓ set has zero observations that satisfy "SnapPercent ≥ 90.28, SnapPercent < 95.37, Awards < 6.75, GamesMissed < 1.5" which just means that this leaf node to the classification error rate of this tree. Select your answer