1. Linear Discriminant Analysis; 2. Gaussian Discriminant Analysis; 3. Logistic Regression. Considering the above 3 linear models, you need to tell us which linear models for handling binary classification tasks is not suitable for each dataset shown in Figure 1 and explain the reason

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
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1. Linear Discriminant Analysis;

2. Gaussian Discriminant Analysis;

3. Logistic Regression.


Considering the above 3 linear models, you need to tell us which linear models for handling binary classification tasks is not suitable for each dataset shown in Figure 1 and explain the reason.

(a) Dataset A
(b) Dataset B
(c) Dataset C
• class o
• class 1
20
class 0
15.0
class 0
• class 1
class 1
1.5
12.5
15
10.0
1.0-
10
7.5
0.5
5
5.0
2.5
0-
0.0
00
-5
-0.5
-2.5
-5.0
-15
10
-5.0 -2.5 0.0
10.0
-10
2.5
5.0
7.5
12.5
15.0
Figure 1
Transcribed Image Text:(a) Dataset A (b) Dataset B (c) Dataset C • class o • class 1 20 class 0 15.0 class 0 • class 1 class 1 1.5 12.5 15 10.0 1.0- 10 7.5 0.5 5 5.0 2.5 0- 0.0 00 -5 -0.5 -2.5 -5.0 -15 10 -5.0 -2.5 0.0 10.0 -10 2.5 5.0 7.5 12.5 15.0 Figure 1
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