Q1 ClassificationThe classification tree was trained with response data Y and using two explanatory variables X1, X2.YesX20.310283X10.606056NoX20.697338YesYes##A) Sketch the classification implied by the tree in the region [0,1] 2. Use "Yes" /1 and "No"/0.B) A new set of points has been provided with fresh response values, as follows.x1 x2 Y## [1,] 0.25 0.33 1## [2,] 0.50 0.33 0## [3,] 0.75 0.33 0## [4,] 0.25 0.67 0## [5,] 0.50 0.67 0## [6,] 0.75 0.67 1Using the data and the trained tree, give predicted (0/1) labels for the new points.C) Report the confusion matrix and performance measures TPR=|on the performance of this classifier.and FPR=Briefly commentD) Can the given trained tree be trimmed to a simpler version, removing redundancies?E) Write a different tree that is equivalent to the given one.

A) Sketch of the Classification Tree: The provided classification tree consists of decision nodes…

Answered: Q1 Classification The classification…

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

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