@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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0,6,263,2,2,0.398296,0.601704
0,6,366,2,2,0.001921,0.998079
0,6,230,2,2,0.004911,0.995089
0,6,0,2,2,0.23821,0.76179
0,6,30,2,2,0,1
0,6,239,2,2,0.005263,0.994737
0,6,135,1,2,0.99578,0.00422
0,6,6,2,2,0.00084,0.99916
0,6,261,2,2,0.378177,0.621823
0,6,300,2,2,0,1
0,6,353,2,2,0.01166,0.98834
0,6,461,2,2,0.001602,0.998398
0,6,265,2,2,0.005753,0.994247
0,6,35,2,2,0.000319,0.999681
0,6,244,2,2,0,1
0,6,229,2,2,0.374978,0.625022
0,6,219,2,2,0.014374,0.985626
0,6,32,2,2,0,1
0,6,141,2,2,0.05806,0.94194
0,6,256,2,2,0.001602,0.998398
0,7,399,1,1,1,0
0,7,415,1,1,0.998759,0.001241
0,7,545,1,1,0.96971,0.03029
0,7,544,1,1,0.989646,0.010354
0,7,176,1,1,0.909855,0.090145
0,7,238,1,1,0.848097,0.151903
0,7,344,1,1,0.998335,0.001665
0,7,217,1,1,0.999308,0.000692
0,7,361,1,1,0.996865,0.003135
0,7,173,1,1,0.994795,0.005205
0,7,308,1,1,0.987074,0.012926
0,7,476,1,1,0.767632,0.232368
0,7,136,1,1,0.979803,0.020197
0,7,267,1,1,0.993501,0.006499
0,7,88,1,1,0.992369,0.007631
0,7,363,2,1,0.153658,0.846342
0,7,511,1,1,0.945492,0.054508
0,7,549,1,1,0.97667,0.02333
0,7,163,1,1,0.995356,0.004644
0,7,130,1,1,0.995935,0.004065
0,7,459,1,1,0.962859,0.037141
0,7,312,1,1,0.999801,0.000199
0,7,431,1,1,0.997279,0.002721
0,7,405,1,1,0.997888,0.002112
0,7,295,1,1,0.996129,0.003871
0,7,357,1,1,0.988926,0.011074
0,7,540,1,1,0.999383,0.000617
0,7,551,1,1,0.996463,0.003537
0,7,324,1,1,1,0
0,7,556,1,1,0.99916,0.00084
0,7,175,1,1,0.999216,0.000784
0,7,457,1,1,0.962531,0.037469
0,7,375,1,1,0.552444,0.447556
0,7,143,1,1,0.994187,0.005813
0,7,189,1,1,1,0
0,7,168,2,2,0,1
0,7,499,2,2,0,1
0,7,39,2,2,0.408873,0.591127
0,7,181,2,2,0,1
0,7,501,2,2,0.454611,0.545389
0,7,213,2,2,0.096293,0.903707
0,7,31,2,2,0.187417,0.812583
0,7,202,2,2,0,1
0,7,329,2,2,0.169965,0.830035
0,7,517,2,2,0,1
0,7,13,2,2,0.417048,0.582952
0,7,117,2,2,0.044394,0.955606
0,7,492,2,2,0.008719,0.991281
0,7,272,2,2,0,1
0,7,321,2,2,0.088128,0.911872
0,7,328,2,2,0,1
0,7,23,2,2,0.001316,0.998684
0,7,100,1,2,0.529508,0.470492
0,7,509,2,2,0.028955,0.971045
0,7,432,2,2,0,1
0,7,233,2,2,0,1
0,7,40,1,2,0.954387,0.045613
0,8,104,1,1,1,0
0,8,287,1,1,0.998511,0.001489
0,8,424,1,1,0.711467,0.288533
0,8,19,1,1,0.951718,0.048282
0,8,251,1,1,0.997852,0.002148
0,8,227,1,1,0.740349,0.259651
0,8,116,1,1,0.983718,0.016282
0,8,518,1,1,0.836158,0.163842
0,8,140,1,1,0.998212,0.001788
0,8,93,1,1,0.99339,0.00661
0,8,63,1,1,0.996515,0.003485
0,8,290,1,1,0.557522,0.442478
0,8,546,1,1,0.997996,0.002004
0,8,561,1,1,0.904291,0.095709
0,8,480,1,1,0.998956,0.001044
0,8,311,1,1,0.861641,0.138359
0,8,356,1,1,0.823675,0.176325
0,8,314,1,1,0.997382,0.002618
0,8,334,1,1,0.998543,0.001457
0,8,527,1,1,0.994544,0.005456
0,8,359,1,1,0.996468,0.003532
0,8,406,2,1,0.223822,0.776178
0,8,148,2,1,0.405715,0.594285
0,8,170,1,1,0.996643,0.003357
0,8,147,1,1,0.820817,0.179183
0,8,411,1,1,0.999193,0.000807
0,8,74,1,1,0.999062,0.000938
0,8,391,1,1,0.997541,0.002459
0,8,81,2,1,0.425587,0.574413
0,8,422,1,1,0.985043,0.014957
0,8,360,1,1,0.91769,0.08231
0,8,226,1,1,0.99829,0.00171
0,8,548,1,1,0.999017,0.000983
0,8,133,2,1,0.320268,0.679732
0,8,483,1,1,0.974098,0.025902
0,8,567,2,2,0,1
0,8,487,2,2,0,1
0,8,4,2,2,0.134782,0.865218
0,8,212,2,2,0.09422,0.90578
0,8,43,2,2,0.202846,0.797154
0,8,138,2,2,0.063838,0.936162
0,8,162,2,2,0,1
0,8,369,2,2,0,1
0,8,27,2,2,0.007017,0.992983
0,8,18,2,2,0,1
0,8,29,2,2,0.109731,0.890269
0,8,237,2,2,0.066937,0.933063
0,8,41,1,2,0.749338,0.250662
0,8,121,2,2,0,1
0,8,514,2,2,0.248002,0.751998
0,8,255,1,2,0.6042,0.3958
0,8,343,2,2,0,1
0,8,194,2,2,0.248095,0.751905
0,8,70,2,2,0,1
0,8,171,2,2,0.322008,0.677992
0,8,146,2,2,0.451313,0.548687
0,8,190,2,2,0.298618,0.701382
0,9,371,1,1,0.737706,0.262294
0,9,559,1,1,0.887561,0.112439
0,9,150,1,1,0.992117,0.007883
0,9,364,1,1,0.995299,0.004701
0,9,558,1,1,0.792502,0.207498
0,9,395,1,1,0.995343,0.004657
0,9,46,1,1,1,0
0,9,496,1,1,0.71729,0.28271
0,9,523,1,1,0.9867,0.0133
0,9,96,1,1,0.999681,0.000319
0,9,101,1,1,0.99216,0.00784
0,9,553,1,1,0.994029,0.005971
0,9,416,1,1,0.977091,0.022909
0,9,128,2,1,0.474275,0.525725
0,9,166,1,1,0.997133,0.002867
0,9,281,1,1,0.959923,0.040077
0,9,358,1,1,0.92357,0.07643
0,9,191,1,1,0.534964,0.465036
0,9,247,1,1,0.54625,0.45375
0,9,524,1,1,0.997918,0.002082
0,9,145,1,1,0.984165,0.015835
0,9,531,1,1,0.993618,0.006382
0,9,107,1,1,0.999314,0.000686
0,9,362,1,1,1,0
0,9,465,1,1,0.578148,0.421852
0,9,404,1,1,0.999039,0.000961
0,9,355,1,1,0.941569,0.058431
0,9,464,1,1,0.992224,0.007776
0,9,547,1,1,0.998259,0.001741
0,9,477,1,1,0.977619,0.022381
0,9,560,1,1,0.963859,0.036141
0,9,187,1,1,0.997629,0.002371
0,9,55,1,1,0.999582,0.000418
0,9,245,1,1,0.993676,0.006324
0,9,157,2,1,0.228135,0.771865
0,9,264,2,2,0.01999,0.98001
0,9,449,2,2,0.000965,0.999035
0,9,64,2,2,0.150475,0.849525
0,9,468,2,2,0.008672,0.991328
0,9,392,2,2,0.001838,0.998162
0,9,45,2,2,0.004588,0.995412
0,9,28,2,2,0.003246,0.996754
0,9,533,2,2,0.00759,0.99241
0,9,10,2,2,0.303294,0.696706
0,9,535,2,2,0,1
0,9,203,2,2,0.058419,0.941581
0,9,161,2,2,0.167175,0.832825
0,9,1,2,2,0.028583,0.971417
0,9,460,2,2,0.001692,0.998308
0,9,118,2,2,0,1
0,9,236,2,2,0,1
0,9,302,2,2,0,1
0,9,95,2,2,0,1
0,9,323,2,2,0,1
0,9,36,2,2,0.34459,0.65541
0,9,370,2,2,0.001408,0.998592