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The Requirement details of project are as below. I also need detail description for presentation.
For the project, given the training dataset ticdata2000.txt use any method you have learned to analysis this dataset. Implement the methods in Matlab. In your code, there should be a function [r]=run(filename) which will be called to test the performance of your project. The code should run without error, otherwise it automatically earns a score of zero. You are required to write a short summary of the methods used, and prepare presentation
1. "There should be a function [r]=run(filename)", that means it sould be able to accept any file with similar format. Secondly the datafile TICEVAL2000.txt is provided in the description. 2.. About the data format, our training data is a txt file, so is the testing data. There are several ways for Matlab to read a txt file, so we don't need to export it as a csv file manually. 2. since there is no specified methods for this project, as long as your methods give good performance, they should be OK.
3. We will have a testing data TICEVAL2000.txt, which has the same format as the traning data TICDATA2000.txt, only the target (the CARAVAN column) is missing. After calling the function [r]=run(filename) in your code, the final output should be the prediction results, i.e. either 1 or 0 for each record.
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Read the document and quote me ... https://www.dropbox.com/s/pvq4f45fpwajibi/Course_wk%20_2013_.pdf
whats thye procedure for entering say an LP model, maximisation an objective funtion ''10x+3y'' subject to: 40 300x +298y>=299 x+y=1
program
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