11. For classification accuracy analysis, one way to generate validation set is from the training set itself. Which of these two possible methods will you choose for extracting validation set from training set and why? Explain. a. Manual selection b. Random sampling Draw a general flowchart for maximum likelihood supervised classification, showing the major processing modules, data generation, and data input / output. Indicate the use of training set and validation set, and also show accuracy assessment as part of the classification process. A classification error matrix is shown below with 6 classes. a. Calculate the overall classification accuracy, and show your calculations. b. Which class has the best classification accuracy? Give reasons for your answer. Which class is causing the most confusion / error in classification of class A? Which class is C. causing the most confusion /error in classification of class D? Give reasons for your answers. Ref A В E F Class A 56 23 11 1 13 B 4 62 1 4 4 70 D 20 10 59 3 E 3 2 71 1 F 10 3 1 43
11. For classification accuracy analysis, one way to generate validation set is from the training set itself. Which of these two possible methods will you choose for extracting validation set from training set and why? Explain. a. Manual selection b. Random sampling Draw a general flowchart for maximum likelihood supervised classification, showing the major processing modules, data generation, and data input / output. Indicate the use of training set and validation set, and also show accuracy assessment as part of the classification process. A classification error matrix is shown below with 6 classes. a. Calculate the overall classification accuracy, and show your calculations. b. Which class has the best classification accuracy? Give reasons for your answer. Which class is causing the most confusion / error in classification of class A? Which class is C. causing the most confusion /error in classification of class D? Give reasons for your answers. Ref A В E F Class A 56 23 11 1 13 B 4 62 1 4 4 70 D 20 10 59 3 E 3 2 71 1 F 10 3 1 43
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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