c) Construction and evaluation of a classifier require partitioning labeled data into a training set and a test set. Sketch the following methods for the following data set. i) Cross Validation (k=2) ii) Stratified Cross Validation (k-2) tid Dimensionl Dimension2 Dimension3 Dimension4 Class Label 1 Al Bl C1 DI El 2 A1 B1 C1 D2 ΕΙ 3 A1 B2 Cl D1 El 4 Al B3 C2 D1 E2 5 A2 B1 C1 D1 ΕΙ 6 A2 B3 C2 D2 ΕΙ 7 A4 B2 C1 D1 E2 8 A4 B3 C2 D1 E2 9 A4 B3 C2 D2 El 10 A4 B2 C2 D1 E2

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
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c) Construction and evaluation of a classifier require partitioning labeled data
into a training set and a test set. Sketch the following methods for the following
data set.
i) Cross Validation (k=2)
ii) Stratified Cross Validation (k-2)
tid
Dimensionl Dimension2
Dimension3
Dimension4
Class Label
1
Al
Bl
C1
DI
El
2
A1
B1
C1
D2
ΕΙ
3
A1
B2
Cl
D1
El
4
Al
B3
C2
D1
E2
5
A2
B1
C1
D1
ΕΙ
6
A2
B3
C2
D2
ΕΙ
7
A4
B2
C1
D1
E2
8
A4
B3
C2
D1
E2
9
A4
B3
C2
D2
El
10
A4
B2
C2
D1
E2
Transcribed Image Text:c) Construction and evaluation of a classifier require partitioning labeled data into a training set and a test set. Sketch the following methods for the following data set. i) Cross Validation (k=2) ii) Stratified Cross Validation (k-2) tid Dimensionl Dimension2 Dimension3 Dimension4 Class Label 1 Al Bl C1 DI El 2 A1 B1 C1 D2 ΕΙ 3 A1 B2 Cl D1 El 4 Al B3 C2 D1 E2 5 A2 B1 C1 D1 ΕΙ 6 A2 B3 C2 D2 ΕΙ 7 A4 B2 C1 D1 E2 8 A4 B3 C2 D1 E2 9 A4 B3 C2 D2 El 10 A4 B2 C2 D1 E2
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