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 - Select your answer - to the classification error rate of this tree.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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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 - Select your answer - to the classification error rate of this tree.

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