MCQ FIB2 You are given a collection of 6 training data points of three features (x1, x2, x3)and their one-hot encoding of class labels (y1, Y2, Y3) which are packed as follows: 1 0 0 1 0 0 0 1 0 0 1 0 1 0 0 0 1 2 3 class1 4 6 class1 1 X = 1 class2 ‚Y = class3 7 -2 class2 -1 4 1 class3 (i) Predict the class label of (x1, x2, x3) = (1, –2, 3) using the linear regression model with a bias term. My prediction for the class label is class 1 (enter 1, 2, or 3?). (ii) Predict the class label of (x1, x2, x3) = (1, –2, 3) using the full polynomial model of third order. My prediction for the class label is class (enter 1, 2, or 3?). Enter the correct answer below. 1 2 Please enter a number for this text box.
MCQ FIB2 You are given a collection of 6 training data points of three features (x1, x2, x3)and their one-hot encoding of class labels (y1, Y2, Y3) which are packed as follows: 1 0 0 1 0 0 0 1 0 0 1 0 1 0 0 0 1 2 3 class1 4 6 class1 1 X = 1 class2 ‚Y = class3 7 -2 class2 -1 4 1 class3 (i) Predict the class label of (x1, x2, x3) = (1, –2, 3) using the linear regression model with a bias term. My prediction for the class label is class 1 (enter 1, 2, or 3?). (ii) Predict the class label of (x1, x2, x3) = (1, –2, 3) using the full polynomial model of third order. My prediction for the class label is class (enter 1, 2, or 3?). Enter the correct answer below. 1 2 Please enter a number for this text box.
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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Transcribed Image Text:МСQ FIB2
You are given a collection of 6 training data points of three features (x1, x2, x3)and their one-hot encoding of class labels (y1, Y2, Y3) which are
packed as follows:
1
3
1
class1
4
1
class1
1
X =
class2
1
1
Y =
2
0 0
1
1
class3
5
7
-2
1
class2
-1
1
class3
(i) Predict the class label of (x1, x2, x3) = (1, –2, 3) using the linear regression model with a bias term. My prediction for the class label is class
(enter 1, 2, or
3?).
(ii) Predict the class label of (x1, x2, x3) = (1, -2,3) using the full polynomial model of third order. My prediction for the class label is class
2
(enter 1, 2, or 3?).
Enter the correct answer below.
2
2
Please enter a number for this text box.
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