Question 2: Consider the following set of training examples.a) Compute a two-level decision tree using the greedy approach. Use the classification error rate as the criterion forsplitting. What is the overall error rate of the induced tree?b) Repeat part (a) using X as the first splitting attribute and then choose the best remaining attribute for splitting ateach of the two successor nodes. What is the error rate of the induced tree?c) Compare the results of parts (a) and (b). Comment on the suitability of the greedy heuristic used for splittingattribute selection.

Decision Tree: The decision tree is the most powerful and popular tool for classification and…

Question 2: Consider the following set of training examples. a) Compute a two-level decision tree using the greedy approach. Use the classification error rate as the criterion for splitting. What is the overall error rate of the induced tree? Hivi

Question 2: Consider the following set of training examples. a) Compute a two-level decision tree using the greedy approach. Use the classification error rate as the criterion for splitting. What is the overall error rate of the induced tree? Hivi

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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Use of XOR function

XOR function or exclusive OR function was introduced in Excel 2013. This function is available under excel logical functions. For the given statement, the XOR function will return true only when either of the statements is true. It returns false when both the statements are true or when both the statements are false.

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