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Andreas Wilms
2025-09-08 19:05:42 +02:00
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experiments/results/string_matching/10k-set-size/string_matching_filter_experiment_results.csv Normal file
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similarity_threshold,related_threshold,source_set_amount,label,elapsed_time,inverted_index_time,inverted_index_ram_usage
0.8,0.7,10000,NO FILTER,3180.351,0.686,63.961
0.8,0.75,10000,NO FILTER,2729.108,0.686,63.961
0.8,0.8,10000,NO FILTER,2185.09,0.686,63.961
0.8,0.85,10000,NO FILTER,1542.041,0.686,63.961
0.8,0.7,10000,CHECK FILTER,2329.334,0.686,63.961
0.8,0.75,10000,CHECK FILTER,2012.022,0.686,63.961
0.8,0.8,10000,CHECK FILTER,1609.739,0.686,63.961
0.8,0.85,10000,CHECK FILTER,1140.994,0.686,63.961
0.8,0.7,10000,NN FILTER,448.129,0.686,63.961
0.8,0.75,10000,NN FILTER,388.975,0.686,63.961
0.8,0.8,10000,NN FILTER,315.568,0.686,63.961
0.8,0.85,10000,NN FILTER,232.207,0.686,63.961
1 similarity_threshold related_threshold source_set_amount label elapsed_time inverted_index_time inverted_index_ram_usage
2 0.8 0.7 10000 NO FILTER 3180.351 0.686 63.961
3 0.8 0.75 10000 NO FILTER 2729.108 0.686 63.961
4 0.8 0.8 10000 NO FILTER 2185.09 0.686 63.961
5 0.8 0.85 10000 NO FILTER 1542.041 0.686 63.961
6 0.8 0.7 10000 CHECK FILTER 2329.334 0.686 63.961
7 0.8 0.75 10000 CHECK FILTER 2012.022 0.686 63.961
8 0.8 0.8 10000 CHECK FILTER 1609.739 0.686 63.961
9 0.8 0.85 10000 CHECK FILTER 1140.994 0.686 63.961
10 0.8 0.7 10000 NN FILTER 448.129 0.686 63.961
11 0.8 0.75 10000 NN FILTER 388.975 0.686 63.961
12 0.8 0.8 10000 NN FILTER 315.568 0.686 63.961
13 0.8 0.85 10000 NN FILTER 232.207 0.686 63.961

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experiments/results/string_matching/10k-set-size/string_matching_sig_experiment_results.csv Normal file
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similarity_threshold,related_threshold,source_set_amount,label,elapsed_time,inverted_index_time,inverted_index_ram_usage
0.8,0.7,10000,SigType.WEIGHTED,3215.981,0.686,64.16
0.8,0.75,10000,SigType.WEIGHTED,2754.485,0.686,64.16
0.8,0.8,10000,SigType.WEIGHTED,2201.524,0.686,64.16
0.8,0.85,10000,SigType.WEIGHTED,1558.372,0.686,64.16
0.8,0.7,10000,SigType.SKYLINE,3200.56,0.686,64.16
0.8,0.75,10000,SigType.SKYLINE,2757.303,0.686,64.16
0.8,0.8,10000,SigType.SKYLINE,55.38,0.686,64.16
0.8,0.85,10000,SigType.SKYLINE,20.134,0.686,64.16
0.8,0.7,10000,SigType.DICHOTOMY,3151.663,0.686,64.16
0.8,0.75,10000,SigType.DICHOTOMY,2613.546,0.686,64.16
0.8,0.8,10000,SigType.DICHOTOMY,52.873,0.686,64.16
0.8,0.85,10000,SigType.DICHOTOMY,19.331,0.686,64.16
1 similarity_threshold related_threshold source_set_amount label elapsed_time inverted_index_time inverted_index_ram_usage
2 0.8 0.7 10000 SigType.WEIGHTED 3215.981 0.686 64.16
3 0.8 0.75 10000 SigType.WEIGHTED 2754.485 0.686 64.16
4 0.8 0.8 10000 SigType.WEIGHTED 2201.524 0.686 64.16
5 0.8 0.85 10000 SigType.WEIGHTED 1558.372 0.686 64.16
6 0.8 0.7 10000 SigType.SKYLINE 3200.56 0.686 64.16
7 0.8 0.75 10000 SigType.SKYLINE 2757.303 0.686 64.16
8 0.8 0.8 10000 SigType.SKYLINE 55.38 0.686 64.16
9 0.8 0.85 10000 SigType.SKYLINE 20.134 0.686 64.16
10 0.8 0.7 10000 SigType.DICHOTOMY 3151.663 0.686 64.16
11 0.8 0.75 10000 SigType.DICHOTOMY 2613.546 0.686 64.16
12 0.8 0.8 10000 SigType.DICHOTOMY 52.873 0.686 64.16
13 0.8 0.85 10000 SigType.DICHOTOMY 19.331 0.686 64.16

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experiments/results/string_matching/string_matching_filter_experiment_results.csv Normal file
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similarity_threshold,related_threshold,source_set_amount,label,elapsed_time,inverted_index_time,inverted_index_ram_usage
0.7,0.7,5000,NO FILTER,3145.41,0.391,28.309
0.7,0.75,5000,NO FILTER,2687.395,0.391,28.309
0.7,0.8,5000,NO FILTER,2244.686,0.391,28.309
0.7,0.85,5000,NO FILTER,1650.297,0.391,28.309
0.7,0.7,5000,CHECK FILTER,4118.279,0.391,28.309
0.7,0.75,5000,CHECK FILTER,3601.918,0.391,28.309
0.7,0.8,5000,CHECK FILTER,2874.443,0.391,28.309
0.7,0.85,5000,CHECK FILTER,2044.612,0.391,28.309
0.7,0.7,5000,NN FILTER,630.678,0.391,28.309
0.7,0.75,5000,NN FILTER,562.722,0.391,28.309
0.7,0.8,5000,NN FILTER,483.175,0.391,28.309
0.7,0.85,5000,NN FILTER,394.221,0.391,28.309
0.75,0.7,5000,NO FILTER,2189.373,0.391,28.309
0.75,0.75,5000,NO FILTER,1891.061,0.391,28.309
0.75,0.8,5000,NO FILTER,1516.5,0.391,28.309
0.75,0.85,5000,NO FILTER,1073.123,0.391,28.309
0.75,0.7,5000,CHECK FILTER,2222.872,0.391,28.309
0.75,0.75,5000,CHECK FILTER,1913.937,0.391,28.309
0.75,0.8,5000,CHECK FILTER,1542.112,0.391,28.309
0.75,0.85,5000,CHECK FILTER,1086.385,0.391,28.309
0.75,0.7,5000,NN FILTER,304.748,0.391,28.309
0.75,0.75,5000,NN FILTER,265.773,0.391,28.309
0.75,0.8,5000,NN FILTER,217.404,0.391,28.309
0.75,0.85,5000,NN FILTER,162.876,0.391,28.309
0.8,0.7,5000,NO FILTER,858.698,0.391,28.309
0.8,0.75,5000,NO FILTER,745.085,0.391,28.309
0.8,0.8,5000,NO FILTER,596.28,0.391,28.309
0.8,0.85,5000,NO FILTER,421.34,0.391,28.309
0.8,0.7,5000,CHECK FILTER,636.886,0.391,28.309
0.8,0.75,5000,CHECK FILTER,550.521,0.391,28.309
0.8,0.8,5000,CHECK FILTER,443.218,0.391,28.309
0.8,0.85,5000,CHECK FILTER,313.208,0.391,28.309
0.8,0.7,5000,NN FILTER,120.012,0.391,28.309
0.8,0.75,5000,NN FILTER,103.497,0.391,28.309
0.8,0.8,5000,NN FILTER,85.033,0.391,28.309
0.8,0.85,5000,NN FILTER,62.035,0.391,28.309
0.85,0.7,5000,NO FILTER,446.251,0.391,28.309
0.85,0.75,5000,NO FILTER,386.611,0.391,28.309
0.85,0.8,5000,NO FILTER,309.98,0.391,28.309
0.85,0.85,5000,NO FILTER,217.511,0.391,28.309
0.85,0.7,5000,CHECK FILTER,364.622,0.391,28.309
0.85,0.75,5000,CHECK FILTER,323.038,0.391,28.309
0.85,0.8,5000,CHECK FILTER,263.697,0.391,28.309
0.85,0.85,5000,CHECK FILTER,184.893,0.391,28.309
0.85,0.7,5000,NN FILTER,72.101,0.391,28.309
0.85,0.75,5000,NN FILTER,62.971,0.391,28.309
0.85,0.8,5000,NN FILTER,51.582,0.391,28.309
0.85,0.85,5000,NN FILTER,35.586,0.391,28.309
1 similarity_threshold related_threshold source_set_amount label elapsed_time inverted_index_time inverted_index_ram_usage
2 0.7 0.7 5000 NO FILTER 3145.41 0.391 28.309
3 0.7 0.75 5000 NO FILTER 2687.395 0.391 28.309
4 0.7 0.8 5000 NO FILTER 2244.686 0.391 28.309
5 0.7 0.85 5000 NO FILTER 1650.297 0.391 28.309
6 0.7 0.7 5000 CHECK FILTER 4118.279 0.391 28.309
7 0.7 0.75 5000 CHECK FILTER 3601.918 0.391 28.309
8 0.7 0.8 5000 CHECK FILTER 2874.443 0.391 28.309
9 0.7 0.85 5000 CHECK FILTER 2044.612 0.391 28.309
10 0.7 0.7 5000 NN FILTER 630.678 0.391 28.309
11 0.7 0.75 5000 NN FILTER 562.722 0.391 28.309
12 0.7 0.8 5000 NN FILTER 483.175 0.391 28.309
13 0.7 0.85 5000 NN FILTER 394.221 0.391 28.309
14 0.75 0.7 5000 NO FILTER 2189.373 0.391 28.309
15 0.75 0.75 5000 NO FILTER 1891.061 0.391 28.309
16 0.75 0.8 5000 NO FILTER 1516.5 0.391 28.309
17 0.75 0.85 5000 NO FILTER 1073.123 0.391 28.309
18 0.75 0.7 5000 CHECK FILTER 2222.872 0.391 28.309
19 0.75 0.75 5000 CHECK FILTER 1913.937 0.391 28.309
20 0.75 0.8 5000 CHECK FILTER 1542.112 0.391 28.309
21 0.75 0.85 5000 CHECK FILTER 1086.385 0.391 28.309
22 0.75 0.7 5000 NN FILTER 304.748 0.391 28.309
23 0.75 0.75 5000 NN FILTER 265.773 0.391 28.309
24 0.75 0.8 5000 NN FILTER 217.404 0.391 28.309
25 0.75 0.85 5000 NN FILTER 162.876 0.391 28.309
26 0.8 0.7 5000 NO FILTER 858.698 0.391 28.309
27 0.8 0.75 5000 NO FILTER 745.085 0.391 28.309
28 0.8 0.8 5000 NO FILTER 596.28 0.391 28.309
29 0.8 0.85 5000 NO FILTER 421.34 0.391 28.309
30 0.8 0.7 5000 CHECK FILTER 636.886 0.391 28.309
31 0.8 0.75 5000 CHECK FILTER 550.521 0.391 28.309
32 0.8 0.8 5000 CHECK FILTER 443.218 0.391 28.309
33 0.8 0.85 5000 CHECK FILTER 313.208 0.391 28.309
34 0.8 0.7 5000 NN FILTER 120.012 0.391 28.309
35 0.8 0.75 5000 NN FILTER 103.497 0.391 28.309
36 0.8 0.8 5000 NN FILTER 85.033 0.391 28.309
37 0.8 0.85 5000 NN FILTER 62.035 0.391 28.309
38 0.85 0.7 5000 NO FILTER 446.251 0.391 28.309
39 0.85 0.75 5000 NO FILTER 386.611 0.391 28.309
40 0.85 0.8 5000 NO FILTER 309.98 0.391 28.309
41 0.85 0.85 5000 NO FILTER 217.511 0.391 28.309
42 0.85 0.7 5000 CHECK FILTER 364.622 0.391 28.309
43 0.85 0.75 5000 CHECK FILTER 323.038 0.391 28.309
44 0.85 0.8 5000 CHECK FILTER 263.697 0.391 28.309
45 0.85 0.85 5000 CHECK FILTER 184.893 0.391 28.309
46 0.85 0.7 5000 NN FILTER 72.101 0.391 28.309
47 0.85 0.75 5000 NN FILTER 62.971 0.391 28.309
48 0.85 0.8 5000 NN FILTER 51.582 0.391 28.309
49 0.85 0.85 5000 NN FILTER 35.586 0.391 28.309

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experiments/results/string_matching/string_matching_ratio.csv Normal file
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experiment name,elem/set,tokens/elem
String Matching,9.847735909042738,6.878140889891579
1 experiment name elem/set tokens/elem
2 String Matching 9.847735909042738 6.878140889891579

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experiments/results/string_matching/string_matching_scalability_experiment_results.csv Normal file
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similarity_threshold,related_threshold,source_set_amount,set_size,elapsed_time,inverted_index_time,inverted_index_ram_usage
0.8,0.7,2500,2500,20.354,0.269,9.504
0.8,0.7,5000,5000,113.087,0.29,11.926
0.8,0.7,10000,10000,454.182,0.516,28.629
0.8,0.7,20000,20000,1579.457,1.158,55.445
0.8,0.7,40000,40000,9424.586,2.476,204.078
0.8,0.75,2500,2500,17.996,0.076,0.0
0.8,0.75,5000,5000,99.042,0.311,-0.984
0.8,0.75,10000,10000,397.007,0.666,23.434
0.8,0.75,20000,20000,1373.817,1.13,67.41
0.8,0.75,20000,20000,1360.908,1.176,133.656
0.8,0.8,20000,20000,1108.245,1.121,60.602
0.8,0.85,20000,20000,826.474,0.952,49.543
0.8,0.75,40000,40000,8340.751,2.489,166.387
0.8,0.8,2500,2500,14.693,0.076,0.0
0.8,0.8,5000,5000,81.646,0.299,-4.938
0.8,0.8,10000,10000,324.125,0.526,20.617
0.8,0.8,20000,20000,1114.55,1.36,68.348
0.8,0.8,40000,40000,6704.746,2.626,212.395
0.8,0.85,2500,2500,11.171,0.169,-86.672
0.8,0.85,5000,5000,59.849,0.17,0.0
0.8,0.85,10000,10000,237.911,0.67,35.836
0.8,0.85,20000,20000,825.885,1.155,59.43
0.8,0.85,40000,40000,4904.373,2.558,198.414
1 similarity_threshold related_threshold source_set_amount set_size elapsed_time inverted_index_time inverted_index_ram_usage
2 0.8 0.7 2500 2500 20.354 0.269 9.504
3 0.8 0.7 5000 5000 113.087 0.29 11.926
4 0.8 0.7 10000 10000 454.182 0.516 28.629
5 0.8 0.7 20000 20000 1579.457 1.158 55.445
6 0.8 0.7 40000 40000 9424.586 2.476 204.078
7 0.8 0.75 2500 2500 17.996 0.076 0.0
8 0.8 0.75 5000 5000 99.042 0.311 -0.984
9 0.8 0.75 10000 10000 397.007 0.666 23.434
10 0.8 0.75 20000 20000 1373.817 1.13 67.41
11 0.8 0.75 20000 20000 1360.908 1.176 133.656
12 0.8 0.8 20000 20000 1108.245 1.121 60.602
13 0.8 0.85 20000 20000 826.474 0.952 49.543
14 0.8 0.75 40000 40000 8340.751 2.489 166.387
15 0.8 0.8 2500 2500 14.693 0.076 0.0
16 0.8 0.8 5000 5000 81.646 0.299 -4.938
17 0.8 0.8 10000 10000 324.125 0.526 20.617
18 0.8 0.8 20000 20000 1114.55 1.36 68.348
19 0.8 0.8 40000 40000 6704.746 2.626 212.395
20 0.8 0.85 2500 2500 11.171 0.169 -86.672
21 0.8 0.85 5000 5000 59.849 0.17 0.0
22 0.8 0.85 10000 10000 237.911 0.67 35.836
23 0.8 0.85 20000 20000 825.885 1.155 59.43
24 0.8 0.85 40000 40000 4904.373 2.558 198.414

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experiments/results/string_matching/string_matching_sig_experiment_results.csv Normal file
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similarity_threshold,related_threshold,source_set_amount,label,elapsed_time,inverted_index_time,inverted_index_ram_usage
0.7,0.7,5000,SigType.WEIGHTED,3142.821,0.377,28.309
0.7,0.75,5000,SigType.WEIGHTED,2682.225,0.377,28.309
0.7,0.8,5000,SigType.WEIGHTED,2239.236,0.377,28.309
0.7,0.85,5000,SigType.WEIGHTED,1645.65,0.377,28.309
0.7,0.7,5000,SigType.SKYLINE,2961.813,0.377,28.309
0.7,0.75,5000,SigType.SKYLINE,2370.479,0.377,28.309
0.7,0.8,5000,SigType.SKYLINE,1638.268,0.377,28.309
0.7,0.85,5000,SigType.SKYLINE,873.634,0.377,28.309
0.7,0.7,5000,SigType.DICHOTOMY,2971.812,0.377,28.309
0.7,0.75,5000,SigType.DICHOTOMY,2330.936,0.377,28.309
0.7,0.8,5000,SigType.DICHOTOMY,1601.018,0.377,28.309
0.7,0.85,5000,SigType.DICHOTOMY,850.349,0.377,28.309
0.75,0.7,5000,SigType.WEIGHTED,2191.563,0.377,28.309
0.75,0.75,5000,SigType.WEIGHTED,1893.747,0.377,28.309
0.75,0.8,5000,SigType.WEIGHTED,1521.498,0.377,28.309
0.75,0.85,5000,SigType.WEIGHTED,1067.3,0.377,28.309
0.75,0.7,5000,SigType.SKYLINE,2194.143,0.377,28.309
0.75,0.75,5000,SigType.SKYLINE,1885.513,0.377,28.309
0.75,0.8,5000,SigType.SKYLINE,243.915,0.377,28.309
0.75,0.85,5000,SigType.SKYLINE,76.608,0.377,28.309
0.75,0.7,5000,SigType.DICHOTOMY,2193.586,0.377,28.309
0.75,0.75,5000,SigType.DICHOTOMY,1891.043,0.377,28.309
0.75,0.8,5000,SigType.DICHOTOMY,243.111,0.377,28.309
0.75,0.85,5000,SigType.DICHOTOMY,76.276,0.377,28.309
0.8,0.7,5000,SigType.WEIGHTED,863.808,0.377,28.309
0.8,0.75,5000,SigType.WEIGHTED,741.957,0.377,28.309
0.8,0.8,5000,SigType.WEIGHTED,593.837,0.377,28.309
0.8,0.85,5000,SigType.WEIGHTED,417.66,0.377,28.309
0.8,0.7,5000,SigType.SKYLINE,856.288,0.377,28.309
0.8,0.75,5000,SigType.SKYLINE,740.398,0.377,28.309
0.8,0.8,5000,SigType.SKYLINE,16.179,0.377,28.309
0.8,0.85,5000,SigType.SKYLINE,6.176,0.377,28.309
0.8,0.7,5000,SigType.DICHOTOMY,874.258,0.377,28.309
0.8,0.75,5000,SigType.DICHOTOMY,745.18,0.377,28.309
0.8,0.8,5000,SigType.DICHOTOMY,15.214,0.377,28.309
0.8,0.85,5000,SigType.DICHOTOMY,5.962,0.377,28.309
0.85,0.7,5000,SigType.WEIGHTED,428.452,0.377,28.309
0.85,0.75,5000,SigType.WEIGHTED,360.578,0.377,28.309
0.85,0.8,5000,SigType.WEIGHTED,290.172,0.377,28.309
0.85,0.85,5000,SigType.WEIGHTED,200.998,0.377,28.309
0.85,0.7,5000,SigType.SKYLINE,411.051,0.377,28.309
0.85,0.75,5000,SigType.SKYLINE,359.539,0.377,28.309
0.85,0.8,5000,SigType.SKYLINE,285.937,0.377,28.309
0.85,0.85,5000,SigType.SKYLINE,3.169,0.377,28.309
0.85,0.7,5000,SigType.DICHOTOMY,416.254,0.377,28.309
0.85,0.75,5000,SigType.DICHOTOMY,383.443,0.377,28.309
0.85,0.8,5000,SigType.DICHOTOMY,288.102,0.377,28.309
0.85,0.85,5000,SigType.DICHOTOMY,3.283,0.377,28.309
1 similarity_threshold related_threshold source_set_amount label elapsed_time inverted_index_time inverted_index_ram_usage
2 0.7 0.7 5000 SigType.WEIGHTED 3142.821 0.377 28.309
3 0.7 0.75 5000 SigType.WEIGHTED 2682.225 0.377 28.309
4 0.7 0.8 5000 SigType.WEIGHTED 2239.236 0.377 28.309
5 0.7 0.85 5000 SigType.WEIGHTED 1645.65 0.377 28.309
6 0.7 0.7 5000 SigType.SKYLINE 2961.813 0.377 28.309
7 0.7 0.75 5000 SigType.SKYLINE 2370.479 0.377 28.309
8 0.7 0.8 5000 SigType.SKYLINE 1638.268 0.377 28.309
9 0.7 0.85 5000 SigType.SKYLINE 873.634 0.377 28.309
10 0.7 0.7 5000 SigType.DICHOTOMY 2971.812 0.377 28.309
11 0.7 0.75 5000 SigType.DICHOTOMY 2330.936 0.377 28.309
12 0.7 0.8 5000 SigType.DICHOTOMY 1601.018 0.377 28.309
13 0.7 0.85 5000 SigType.DICHOTOMY 850.349 0.377 28.309
14 0.75 0.7 5000 SigType.WEIGHTED 2191.563 0.377 28.309
15 0.75 0.75 5000 SigType.WEIGHTED 1893.747 0.377 28.309
16 0.75 0.8 5000 SigType.WEIGHTED 1521.498 0.377 28.309
17 0.75 0.85 5000 SigType.WEIGHTED 1067.3 0.377 28.309
18 0.75 0.7 5000 SigType.SKYLINE 2194.143 0.377 28.309
19 0.75 0.75 5000 SigType.SKYLINE 1885.513 0.377 28.309
20 0.75 0.8 5000 SigType.SKYLINE 243.915 0.377 28.309
21 0.75 0.85 5000 SigType.SKYLINE 76.608 0.377 28.309
22 0.75 0.7 5000 SigType.DICHOTOMY 2193.586 0.377 28.309
23 0.75 0.75 5000 SigType.DICHOTOMY 1891.043 0.377 28.309
24 0.75 0.8 5000 SigType.DICHOTOMY 243.111 0.377 28.309
25 0.75 0.85 5000 SigType.DICHOTOMY 76.276 0.377 28.309
26 0.8 0.7 5000 SigType.WEIGHTED 863.808 0.377 28.309
27 0.8 0.75 5000 SigType.WEIGHTED 741.957 0.377 28.309
28 0.8 0.8 5000 SigType.WEIGHTED 593.837 0.377 28.309
29 0.8 0.85 5000 SigType.WEIGHTED 417.66 0.377 28.309
30 0.8 0.7 5000 SigType.SKYLINE 856.288 0.377 28.309
31 0.8 0.75 5000 SigType.SKYLINE 740.398 0.377 28.309
32 0.8 0.8 5000 SigType.SKYLINE 16.179 0.377 28.309
33 0.8 0.85 5000 SigType.SKYLINE 6.176 0.377 28.309
34 0.8 0.7 5000 SigType.DICHOTOMY 874.258 0.377 28.309
35 0.8 0.75 5000 SigType.DICHOTOMY 745.18 0.377 28.309
36 0.8 0.8 5000 SigType.DICHOTOMY 15.214 0.377 28.309
37 0.8 0.85 5000 SigType.DICHOTOMY 5.962 0.377 28.309
38 0.85 0.7 5000 SigType.WEIGHTED 428.452 0.377 28.309
39 0.85 0.75 5000 SigType.WEIGHTED 360.578 0.377 28.309
40 0.85 0.8 5000 SigType.WEIGHTED 290.172 0.377 28.309
41 0.85 0.85 5000 SigType.WEIGHTED 200.998 0.377 28.309
42 0.85 0.7 5000 SigType.SKYLINE 411.051 0.377 28.309
43 0.85 0.75 5000 SigType.SKYLINE 359.539 0.377 28.309
44 0.85 0.8 5000 SigType.SKYLINE 285.937 0.377 28.309
45 0.85 0.85 5000 SigType.SKYLINE 3.169 0.377 28.309
46 0.85 0.7 5000 SigType.DICHOTOMY 416.254 0.377 28.309
47 0.85 0.75 5000 SigType.DICHOTOMY 383.443 0.377 28.309
48 0.85 0.8 5000 SigType.DICHOTOMY 288.102 0.377 28.309
49 0.85 0.85 5000 SigType.DICHOTOMY 3.283 0.377 28.309

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