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
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
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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