Question: Using Python Problem I: Comparing Classifiers A text file, hw1-scores.txt, containing classifier errors measurements has been uploaded to D2L. Each of the columns represents a
Using Python
Problem I: Comparing Classifiers A text file, hw1-scores.txt, containing classifier errors measurements has been uploaded to D2L. Each of the columns represents a classifier and each row a data set that was evaluated. Are all of the classifiers performing equally? Is there one or more classifiers that is performing better than the others? Your response should be backed by statistics. Ehw1-scores.txt 24.75,22.75,23.25,22.5,28.25,32.43 5.29,4.64,4.5,4.71,3.93,2.63 32.41,26.72,26.9, 27.41,32.41, 38.61 39. 77,39.32,39.55, 36.02,43.64,45.06 14.05, 12.38, 13.33, 12.86, 17. 14, 17.12 15.18, 14.1, 14.68, 14.1,16.47,13.84 21.26,20.1,20.19,20.68,28.83,22.2 28. 89,22.59,25. 19,25. 19, 21. 11,26.67 26.61,24.68,23.55,22.9,26.77,42.31 14.69,16.56,15, 14.69,21.56,26.9 6.06,6.34,5.21,5.07, 10.02,6.76 27.93, 17.25,17.31, 19.38, 18.5, 18.19 16.82,15,14.55, 14.55, 24.24, 10.19 8.65,8.33,8.65,8.54,9.58,9.37 16.59,15.28, 15.66, 15.41,20.87, 22.75 15.52,15.08, 14.43, 14.75, 17.05, 19.02 3.23,3. 15,3.37,3.21,21.63,27.58 8.25, 13,10,11.75, 12.25,9.87 28.25,26.36,26.56,27.21,26.75,28.24 25. 14,25.95,26.22,28.11, 29.46,49.57 1.71,1.54,1.72,1.68,2.11,1.47 27.06,20,20.59, 21.76, 28.82, 24.01 33.17,35.25,35.97,34.68,32.59,47.14 28.01,27.26,26.62,27.76,27.86,32.11 23.45,20,21.09,21.45, 17.45, 18.05 27.94,26.6,26.8,27.23,27.1, 29.85 16.03, 15.4,15.4, 14.6, 19.68, 17.13 Problem I: Comparing Classifiers A text file, hw1-scores.txt, containing classifier errors measurements has been uploaded to D2L. Each of the columns represents a classifier and each row a data set that was evaluated. Are all of the classifiers performing equally? Is there one or more classifiers that is performing better than the others? Your response should be backed by statistics. Ehw1-scores.txt 24.75,22.75,23.25,22.5,28.25,32.43 5.29,4.64,4.5,4.71,3.93,2.63 32.41,26.72,26.9, 27.41,32.41, 38.61 39. 77,39.32,39.55, 36.02,43.64,45.06 14.05, 12.38, 13.33, 12.86, 17. 14, 17.12 15.18, 14.1, 14.68, 14.1,16.47,13.84 21.26,20.1,20.19,20.68,28.83,22.2 28. 89,22.59,25. 19,25. 19, 21. 11,26.67 26.61,24.68,23.55,22.9,26.77,42.31 14.69,16.56,15, 14.69,21.56,26.9 6.06,6.34,5.21,5.07, 10.02,6.76 27.93, 17.25,17.31, 19.38, 18.5, 18.19 16.82,15,14.55, 14.55, 24.24, 10.19 8.65,8.33,8.65,8.54,9.58,9.37 16.59,15.28, 15.66, 15.41,20.87, 22.75 15.52,15.08, 14.43, 14.75, 17.05, 19.02 3.23,3. 15,3.37,3.21,21.63,27.58 8.25, 13,10,11.75, 12.25,9.87 28.25,26.36,26.56,27.21,26.75,28.24 25. 14,25.95,26.22,28.11, 29.46,49.57 1.71,1.54,1.72,1.68,2.11,1.47 27.06,20,20.59, 21.76, 28.82, 24.01 33.17,35.25,35.97,34.68,32.59,47.14 28.01,27.26,26.62,27.76,27.86,32.11 23.45,20,21.09,21.45, 17.45, 18.05 27.94,26.6,26.8,27.23,27.1, 29.85 16.03, 15.4,15.4, 14.6, 19.68, 17.13