@relation R_data_frame

@attribute repeat numeric
@attribute fold numeric
@attribute row_id numeric
@attribute prediction {1,2}
@attribute truth {1,2}
@attribute confidence.1 numeric
@attribute confidence.2 numeric

@data
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0,6,73,1,2,0.716478,0.283522
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0,6,366,2,2,0.000255,0.999745
0,6,230,2,2,0.006948,0.993052
0,6,0,2,2,0.149627,0.850373
0,6,30,2,2,0,1
0,6,239,2,2,0.00221,0.99779
0,6,135,1,2,0.993634,0.006366
0,6,6,2,2,0.000792,0.999208
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0,6,300,2,2,0,1
0,6,353,2,2,0.010653,0.989347
0,6,461,2,2,0.001017,0.998983
0,6,265,2,2,0.001062,0.998938
0,6,35,2,2,0.000829,0.999171
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0,6,32,2,2,0.000073,0.999927
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0,7,476,1,1,0.786844,0.213156
0,7,136,1,1,0.949248,0.050752
0,7,267,1,1,0.994107,0.005893
0,7,88,1,1,0.98813,0.01187
0,7,363,2,1,0.210474,0.789526
0,7,511,1,1,0.970869,0.029131
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0,7,324,1,1,1,0
0,7,556,1,1,0.996008,0.003992
0,7,175,1,1,1,0
0,7,457,1,1,0.969213,0.030787
0,7,375,1,1,0.632275,0.367725
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0,7,181,2,2,0.000867,0.999133
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0,7,213,2,2,0.140734,0.859266
0,7,31,2,2,0.118019,0.881981
0,7,202,2,2,0.0009,0.9991
0,7,329,2,2,0.1705,0.8295
0,7,517,2,2,0.005642,0.994358
0,7,13,2,2,0.393988,0.606012
0,7,117,2,2,0.008882,0.991118
0,7,492,2,2,0.007825,0.992175
0,7,272,2,2,0,1
0,7,321,2,2,0.082439,0.917561
0,7,328,2,2,0.000158,0.999842
0,7,23,2,2,0.016479,0.983521
0,7,100,1,2,0.535408,0.464592
0,7,509,2,2,0.025478,0.974522
0,7,432,2,2,0.00034,0.99966
0,7,233,2,2,0.007054,0.992946
0,7,40,1,2,0.947741,0.052259
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0,8,19,1,1,0.958014,0.041986
0,8,251,1,1,0.998512,0.001488
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0,8,518,1,1,0.898637,0.101363
0,8,140,1,1,0.99864,0.00136
0,8,93,1,1,0.995792,0.004208
0,8,63,1,1,0.99627,0.00373
0,8,290,1,1,0.59656,0.40344
0,8,546,1,1,0.998725,0.001275
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0,8,480,1,1,0.99932,0.00068
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0,8,334,1,1,0.999873,0.000127
0,8,527,1,1,0.986524,0.013476
0,8,359,1,1,0.990912,0.009088
0,8,406,2,1,0.362673,0.637327
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0,8,74,1,1,0.99983,0.00017
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0,8,360,1,1,0.939631,0.060369
0,8,226,1,1,0.999469,0.000531
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0,8,483,1,1,0.964573,0.035427
0,8,567,2,2,0.001101,0.998899
0,8,487,2,2,0,1
0,8,4,2,2,0.133307,0.866693
0,8,212,2,2,0.111698,0.888302
0,8,43,2,2,0.126994,0.873006
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0,8,369,2,2,0.001176,0.998824
0,8,27,2,2,0.007873,0.992127
0,8,18,2,2,0.000102,0.999898
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0,8,237,2,2,0.044951,0.955049
0,8,41,1,2,0.739991,0.260009
0,8,121,2,2,0.000947,0.999053
0,8,514,2,2,0.32766,0.67234
0,8,255,1,2,0.533027,0.466973
0,8,343,2,2,0.000884,0.999116
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0,8,70,2,2,0.00275,0.99725
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0,8,146,2,2,0.452447,0.547553
0,8,190,2,2,0.139761,0.860239
0,9,371,1,1,0.882404,0.117596
0,9,559,1,1,0.882976,0.117024
0,9,150,1,1,0.985348,0.014652
0,9,364,1,1,0.996092,0.003908
0,9,558,1,1,0.820553,0.179447
0,9,395,1,1,0.993097,0.006903
0,9,46,1,1,0.99949,0.00051
0,9,496,1,1,0.814861,0.185139
0,9,523,1,1,0.972682,0.027318
0,9,96,1,1,0.993232,0.006768
0,9,101,1,1,0.99831,0.00169
0,9,553,1,1,0.997319,0.002681
0,9,416,1,1,0.987947,0.012053
0,9,128,1,1,0.504134,0.495866
0,9,166,1,1,0.990937,0.009063
0,9,281,1,1,0.963332,0.036668
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0,9,247,1,1,0.671606,0.328394
0,9,524,1,1,0.990931,0.009069
0,9,145,1,1,0.991814,0.008186
0,9,531,1,1,0.989782,0.010218
0,9,107,1,1,0.993938,0.006062
0,9,362,1,1,0.999643,0.000357
0,9,465,1,1,0.604461,0.395539
0,9,404,1,1,0.998567,0.001433
0,9,355,1,1,0.981781,0.018219
0,9,464,1,1,0.978961,0.021039
0,9,547,1,1,0.999681,0.000319
0,9,477,1,1,0.969698,0.030302
0,9,560,1,1,0.9143,0.0857
0,9,187,1,1,0.989481,0.010519
0,9,55,1,1,0.999898,0.000102
0,9,245,1,1,0.991944,0.008056
0,9,157,2,1,0.231728,0.768272
0,9,264,2,2,0.016486,0.983514
0,9,449,2,2,0.008752,0.991248
0,9,64,2,2,0.050635,0.949365
0,9,468,2,2,0.010854,0.989146
0,9,392,2,2,0,1
0,9,45,2,2,0.005521,0.994479
0,9,28,2,2,0.000255,0.999745
0,9,533,2,2,0.005862,0.994138
0,9,10,2,2,0.247231,0.752769
0,9,535,2,2,0.000212,0.999788
0,9,203,2,2,0.009232,0.990768
0,9,161,2,2,0.095774,0.904226
0,9,1,2,2,0.043153,0.956847
0,9,460,2,2,0.003277,0.996723
0,9,118,2,2,0.00051,0.99949
0,9,236,2,2,0,1
0,9,302,2,2,0.001632,0.998368
0,9,95,2,2,0.001603,0.998397
0,9,323,2,2,0.000765,0.999235
0,9,36,2,2,0.202138,0.797862
0,9,370,2,2,0.000255,0.999745