229118
2
Joaquin Vanschoren
1882
Supervised Classification
predictive_accuracy
1185
weka.Bagging_REPTree(8)
2032
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1077
V
0.001
1077
N
3
1077
S
1
1077
L
-1
1077
I
0.0
1077
P
100
1185
S
1
1185
num-slots
1
1185
I
10
1185
W
weka.classifiers.trees.REPTree
1185
weka
weka_3.7.12
2
anneal
https://www.openml.org/data/download/1666876/phpFsFYVN
-1
761330
description
https://api.openml.org/data/download/761330/weka_generated_run5993808942143340625.xml
-1
761333
model_readable
https://api.openml.org/data/download/761333/WekaModel_weka.classifiers.meta.Bagging5820427916917886313.model
-1
761332
model_serialized
https://api.openml.org/data/download/761332/WekaSerialized_weka.classifiers.meta.Bagging8538167209864205098.model
-1
761331
predictions
https://api.openml.org/data/download/761331/weka_generated_predictions1113397960124117246.arff
area_under_roc_curve
0.981748 [0.897052,0.987093,0.980836,0.0,0.99472,0.979324]
average_cost
0
f_measure
0.932934 [0.769231,0.805167,0.958668,0,0.8739,0.940731]
kappa
0.831228
kb_relative_information_score
6739.717233
mean_absolute_error
0.041842
mean_prior_absolute_error
0.134305
number_of_instances
8980 [80,990,6840,0,670,400]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.933407 [1,0.861751,0.949391,0,0.85879,0.949109]
predictive_accuracy
0.934187
prior_entropy
1.214875
recall
0.934187 [0.625,0.755556,0.968129,0,0.889552,0.9325]
relative_absolute_error
0.311545
root_mean_prior_squared_error
0.258218
root_mean_squared_error
0.12984
root_relative_squared_error
0.502832
scimark_benchmark
1413.088986 [800.8451154200513, 976.1676952090706, 528.1563344955795, 1108.4312851708987, 3651.844499004649]
total_cost
0
usercpu_time_millis
120
usercpu_time_millis_testing
10
usercpu_time_millis_training
110
area_under_roc_curve
0.990939 [0.988764,0.979424,0.991028,0.0,1,1]
area_under_roc_curve
0.988129 [1,0.990398,0.985852,0.0,1,0.998547]
area_under_roc_curve
0.97994 [1,0.98375,0.977226,0.0,0.988095,1]
area_under_roc_curve
0.982741 [1,0.975625,0.981021,0.0,1,1]
area_under_roc_curve
0.990443 [1,0.99375,0.988958,0.0,0.994048,1]
area_under_roc_curve
0.995575 [1,0.98875,0.995859,0.0,1,1]
area_under_roc_curve
0.979188 [1,0.991875,0.977571,0.0,1,0.938953]
area_under_roc_curve
0.98125 [1,0.98125,0.978606,0.0,0.996032,1]
area_under_roc_curve
0.9794 [1,0.984911,0.979986,0.0,1,0.915698]
area_under_roc_curve
0.99548 [1,0.994513,0.995169,0.0,0.996558,1]
area_under_roc_curve
0.972705 [1,0.99875,0.969634,0.0,1,0.912791]
area_under_roc_curve
0.984434 [1,0.98625,0.981952,0.0,0.994836,1]
area_under_roc_curve
0.991104 [1,0.99375,0.990338,0.0,0.988095,1]
area_under_roc_curve
0.979762 [1,0.986875,0.979641,0.0,0.996032,0.934593]
area_under_roc_curve
0.932804 [1,0.925,0.923395,0.0,0.998016,1]
area_under_roc_curve
0.987612 [1,0.98375,0.986197,0.0,1,1]
area_under_roc_curve
0.981732 [0.988764,0.995885,0.978606,0.0,0.986231,0.994186]
area_under_roc_curve
0.98956 [1,0.989375,0.987923,0.0,1,1]
area_under_roc_curve
0.991218 [1,0.986875,0.990307,0.0,1,1]
area_under_roc_curve
0.96884 [0.438202,0.978125,0.971014,0.0,0.996032,1]
area_under_roc_curve
0.991432 [1,0.993125,0.989993,0.0,0.998016,1]
area_under_roc_curve
0.988742 [0.466292,0.9975,0.993316,0.0,1,1]
area_under_roc_curve
0.98508 [0.398876,0.9925,0.990338,0.0,1,1]
area_under_roc_curve
0.981973 [1,0.98875,0.979986,0.0,0.992063,0.979651]
area_under_roc_curve
0.988347 [1,0.9975,0.986197,0.0,0.988095,1]
area_under_roc_curve
0.97834 [1,0.98125,0.975155,0.0,0.992063,1]
area_under_roc_curve
0.988497 [1,0.9925,0.989305,0.0,0.998279,0.944767]
area_under_roc_curve
0.983396 [1,0.99375,0.984817,0.0,0.996032,0.909884]
area_under_roc_curve
0.976723 [0.410112,0.995,0.978944,0.0,1,0.994186]
area_under_roc_curve
0.987809 [0.977528,0.980625,0.987233,0.0,1,1]
area_under_roc_curve
0.999861 [1,0.99875,1,0.0,1,1]
area_under_roc_curve
0.979762 [1,0.9775,0.977941,0.0,0.986231,1]
area_under_roc_curve
0.986809 [1,0.993827,0.984472,0.0,0.991394,1]
area_under_roc_curve
0.985551 [1,0.995885,0.983437,0.0,0.982788,1]
area_under_roc_curve
0.989587 [0.977528,0.995,0.987968,0.0,1,0.988372]
area_under_roc_curve
0.975044 [0.393258,0.973937,0.979641,0.0,1,1]
area_under_roc_curve
0.979822 [0.932584,0.97875,0.977941,0.0,0.994836,1]
area_under_roc_curve
0.984441 [1,0.97668,0.982747,0.0,1,1]
area_under_roc_curve
0.98853 [1,0.9925,0.986631,0.0,0.993115,1]
area_under_roc_curve
0.976438 [1,0.983125,0.97205,0.0,1,0.994186]
area_under_roc_curve
0.977679 [0.404494,0.985,0.981952,0.0,0.994836,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.99322 [1,0.995,0.992647,0.0,0.991394,1]
area_under_roc_curve
0.975039 [0.410112,0.9925,0.977273,0.0,0.994836,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.979179 [1,0.97625,0.975936,0.0,1,1]
area_under_roc_curve
0.981889 [1,0.9925,0.983289,0.0,1,0.895349]
area_under_roc_curve
0.988791 [1,0.991875,0.990976,0.0,1,0.921512]
area_under_roc_curve
0.985326 [1,0.99,0.983289,0.0,0.987952,1]
area_under_roc_curve
0.956244 [1,0.97,0.949866,0.0,0.967298,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.989586 [1,0.99625,0.987299,0.0,0.994836,1]
area_under_roc_curve
0.971337 [0.370787,0.9825,0.974599,0.0,0.993115,1]
area_under_roc_curve
0.981363 [1,0.99125,0.979612,0.0,1,0.949128]
area_under_roc_curve
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area_under_roc_curve
0.996563 [1,0.99875,0.995989,0.0,0.996558,1]
area_under_roc_curve
0.969346 [0.376404,0.96375,0.97393,0.0,1,1]
area_under_roc_curve
0.985217 [1,0.98875,0.98262,0.0,0.994836,1]
area_under_roc_curve
0.975168 [1,0.99,0.981283,0.0,0.993115,0.796512]
area_under_roc_curve
0.995878 [0.94382,0.99125,0.996658,0.0,1,1]
area_under_roc_curve
0.972684 [1,0.98375,0.966578,0.0,1,0.994186]
area_under_roc_curve
0.981206 [1,0.99,0.980615,0.0,1,0.931686]
area_under_roc_curve
0.984573 [1,0.9875,0.981952,0.0,0.994836,1]
area_under_roc_curve
0.992487 [1,0.9975,0.99131,0.0,0.991394,1]
area_under_roc_curve
0.961208 [1,0.97375,0.959225,0.0,0.989673,0.90407]
area_under_roc_curve
0.979753 [0.410112,0.988125,0.983623,0.0,1,1]
area_under_roc_curve
0.991472 [1,0.99625,0.989973,0.0,0.993115,1]
area_under_roc_curve
0.989934 [0.966292,0.99125,0.988636,0.0,0.998279,1]
area_under_roc_curve
0.978843 [1,0.985,0.975267,0.0,0.989673,1]
area_under_roc_curve
0.993106 [1,0.9925,0.991979,0.0,1,1]
area_under_roc_curve
0.987892 [0.977528,0.98375,0.986888,0.0,1,1]
area_under_roc_curve
0.974363 [1,0.994375,0.96758,0.0,1,0.988372]
area_under_roc_curve
0.981677 [1,0.9875,0.977941,0.0,0.996558,1]
area_under_roc_curve
0.988641 [0.966292,0.9875,0.987299,0.0,1,1]
area_under_roc_curve
0.969338 [0.966292,0.99625,0.962567,0.0,0.986231,0.988372]
area_under_roc_curve
0.990733 [1,0.991875,0.989639,0.0,0.993115,1]
area_under_roc_curve
0.984569 [1,0.991875,0.980949,0.0,0.998279,1]
area_under_roc_curve
0.988383 [1,0.991875,0.986542,0.0,0.994048,1]
area_under_roc_curve
0.98554 [1,0.995,0.981952,0.0,0.996558,1]
area_under_roc_curve
0.990061 [0.0,0.994937,0.988095,0.0,0.996516,1]
area_under_roc_curve
0.983091 [0.0,0.987975,0.980797,0.0,0.993976,0.994118]
area_under_roc_curve
0.99572 [0.0,1,0.994398,0.0,1,1]
area_under_roc_curve
0.991961 [0.0,0.987975,0.991246,0.0,1,1]
area_under_roc_curve
0.989766 [0.0,0.989873,0.988095,0.0,1,1]
area_under_roc_curve
0.992271 [0.0,0.98481,0.992297,0.0,0.998258,1]
area_under_roc_curve
0.988344 [0.0,0.993671,0.986232,0.0,0.995984,1]
area_under_roc_curve
0.988771 [0.0,0.993038,0.987045,0.0,0.993031,1]
area_under_roc_curve
0.979903 [0.0,0.987342,0.976087,0.0,0.997992,1]
area_under_roc_curve
0.985737 [0.0,0.987342,0.983193,0.0,1,1]
area_under_roc_curve
0.963928 [0.0,0.981013,0.962885,0.0,0.989547,0.894118]
area_under_roc_curve
0.966864 [0.0,0.972152,0.962319,0.0,1,0.982353]
area_under_roc_curve
0.974347 [0.0,0.979114,0.976541,0.0,0.989547,0.898529]
area_under_roc_curve
0.981128 [0.0,0.989241,0.977241,0.0,0.996516,1]
area_under_roc_curve
0.97283 [0.0,0.959028,0.970652,0.0,0.996516,1]
area_under_roc_curve
0.986105 [0.0,0.994937,0.988095,0.0,1,0.905882]
area_under_roc_curve
0.992127 [0.0,0.991139,0.991304,0.0,0.997992,1]
area_under_roc_curve
0.994189 [0.0,0.991139,0.993697,0.0,1,1]
area_under_roc_curve
0.972896 [0.0,0.965823,0.971739,0.0,0.97992,1]
area_under_roc_curve
0.986489 [0.0,0.991772,0.984244,0.0,0.993031,1]
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f_measure
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f_measure
0.941267 [1,0.823529,0.964539,0,0.923077,0.857143]
f_measure
0.933073 [1,0.842105,0.955882,0,0.857143,0.888889]
f_measure
0.942527 [1,0.888889,0.964029,0,0.769231,1]
f_measure
0.89922 [1,0.736842,0.934307,0,0.8,0.857143]
f_measure
0.939092 [0,0.8,0.963504,0,1,1]
f_measure
0.954643 [1,0.888889,0.971014,0,0.857143,1]
f_measure
0.950312 [0,0.9,0.978102,0,0.923077,0.888889]
f_measure
0.921861 [1,0.736842,0.948148,0,0.875,1]
f_measure
0.925952 [1,0.625,0.957143,0,1,1]
f_measure
0.940212 [0,0.761905,0.971014,0,1,1]
f_measure
0.922058 [1,0.777778,0.948148,0,0.933333,0.8]
f_measure
0.891312 [0,0.736842,0.942029,0,0.875,0.666667]
f_measure
0.951897 [0,0.818182,0.977778,0,1,1]
f_measure
0.92 [0,0.909091,0.954545,0,0.8,0.8]
f_measure
0.933567 [1,0.842105,0.955882,0,0.8,1]
f_measure
0.944856 [1,0.9,0.962963,0,0.857143,0.888889]
f_measure
0.943767 [1,0.842105,0.964029,0,0.833333,1]
f_measure
0.929249 [1,0.75,0.956522,0,0.933333,0.888889]
f_measure
0.932821 [0,0.842105,0.955882,0,0.8,1]
f_measure
0.944418 [0,0.9,0.963504,0,0.857143,0.857143]
f_measure
0.98899 [0,0.952381,0.992593,0,1,1]
f_measure
0.965983 [0,0.9,0.978102,0,0.923077,1]
f_measure
0.965528 [0,0.842105,0.978102,0,1,1]
f_measure
0.954133 [0,0.888889,0.971014,0,0.857143,1]
f_measure
0.914608 [0,0.777778,0.951049,0,0.666667,1]
f_measure
0.966435 [0,0.952381,0.977778,0,0.857143,1]
f_measure
0.931538 [0,0.736842,0.956522,0,0.923077,1]
f_measure
0.945223 [0,0.818182,0.962963,0,0.923077,1]
f_measure
0.908588 [0,0.777778,0.942029,0,0.8,0.857143]
f_measure
0.932214 [0,0.8,0.956522,0,0.923077,0.857143]
f_measure
0.902541 [0,0.625,0.942857,0,0.933333,0.857143]
f_measure
0.90693 [0,0.705882,0.942029,0,0.8,1]
f_measure
0.892779 [0,0.533333,0.935252,0,0.875,1]
f_measure
0.942305 [0,0.842105,0.964029,0,0.923077,0.857143]
f_measure
0.952835 [0,0.823529,0.971429,0,0.923077,1]
f_measure
0.954325 [0,0.888889,0.971014,0,0.923077,0.888889]
f_measure
0.907972 [0,0.666667,0.942029,0,0.857143,1]
f_measure
0.932584 [0,0.8,0.955882,0,0.857143,1]
kappa
0.776596
kappa
0.8373
kappa
0.73009
kappa
0.833127
kappa
0.837349
kappa
0.91015
kappa
0.82399
kappa
0.76593
kappa
0.798786
kappa
0.850498
kappa
0.866588
kappa
0.861751
kappa
0.719432
kappa
0.824104
kappa
0.765625
kappa
0.745042
kappa
0.802446
kappa
0.884319
kappa
0.833795
kappa
0.830455
kappa
0.945586
kappa
0.913572
kappa
0.815888
kappa
0.823875
kappa
0.836759
kappa
0.777778
kappa
0.887183
kappa
0.798658
kappa
0.89114
kappa
0.888752
kappa
0.844129
kappa
0.755065
kappa
0.833641
kappa
0.765777
kappa
0.858312
kappa
0.843967
kappa
0.76378
kappa
0.712562
kappa
0.830774
kappa
0.806213
kappa
0.812612
kappa
0.887394
kappa
0.808975
kappa
0.856368
kappa
0.861624
kappa
0.972299
kappa
0.891239
kappa
0.824047
kappa
0.85623
kappa
0.765854
kappa
0.760142
kappa
0.882583
kappa
0.836562
kappa
0.774577
kappa
0.765854
kappa
0.799107
kappa
0.887289
kappa
0.824047
kappa
0.806094
kappa
0.68652
kappa
0.918132
kappa
0.799491
kappa
0.850548
kappa
0.837153
kappa
0.856368
kappa
0.750693
kappa
0.86124
kappa
0.887289
kappa
0.889094
kappa
0.813278
kappa
0.824561
kappa
0.858357
kappa
0.813775
kappa
0.745203
kappa
0.892825
kappa
0.822435
kappa
0.837006
kappa
0.866627
kappa
0.856092
kappa
0.831408
kappa
0.829665
kappa
0.855002
kappa
0.9721
kappa
0.913058
kappa
0.913142
kappa
0.881963
kappa
0.769345
kappa
0.916301
kappa
0.822709
kappa
0.86037
kappa
0.763691
kappa
0.822355
kappa
0.754229
kappa
0.76416
kappa
0.729209
kappa
0.849101
kappa
0.876987
kappa
0.88208
kappa
0.763926
kappa
0.829502
kb_relative_information_score
68.661209
kb_relative_information_score
64.946019
kb_relative_information_score
67.086499
kb_relative_information_score
68.245586
kb_relative_information_score
68.885178
kb_relative_information_score
68.665566
kb_relative_information_score
67.476575
kb_relative_information_score
66.020249
kb_relative_information_score
64.537968
kb_relative_information_score
72.666224
kb_relative_information_score
68.088771
kb_relative_information_score
70.723613
kb_relative_information_score
69.575492
kb_relative_information_score
65.221827
kb_relative_information_score
61.407105
kb_relative_information_score
67.315892
kb_relative_information_score
63.803987
kb_relative_information_score
66.577202
kb_relative_information_score
70.611944
kb_relative_information_score
61.923106
kb_relative_information_score
73.814782
kb_relative_information_score
70.553573
kb_relative_information_score
67.276227
kb_relative_information_score
63.103827
kb_relative_information_score
70.739136
kb_relative_information_score
63.454102
kb_relative_information_score
71.683757
kb_relative_information_score
66.877491
kb_relative_information_score
68.573966
kb_relative_information_score
67.18135
kb_relative_information_score
71.10747
kb_relative_information_score
65.639467
kb_relative_information_score
67.360959
kb_relative_information_score
67.384787
kb_relative_information_score
67.202964
kb_relative_information_score
64.69017
kb_relative_information_score
63.946337
kb_relative_information_score
66.296817
kb_relative_information_score
71.651891
kb_relative_information_score
67.008041
kb_relative_information_score
61.860077
kb_relative_information_score
70.254075
kb_relative_information_score
65.027098
kb_relative_information_score
74.738688
kb_relative_information_score
63.529325
kb_relative_information_score
79.772653
kb_relative_information_score
70.057924
kb_relative_information_score
68.378421
kb_relative_information_score
69.026102
kb_relative_information_score
69.476537
kb_relative_information_score
61.835053
kb_relative_information_score
77.289667
kb_relative_information_score
70.675539
kb_relative_information_score
63.515367
kb_relative_information_score
68.761622
kb_relative_information_score
68.21907
kb_relative_information_score
73.185077
kb_relative_information_score
64.092471
kb_relative_information_score
70.859092
kb_relative_information_score
60.702013
kb_relative_information_score
67.70651
kb_relative_information_score
66.898581
kb_relative_information_score
68.82273
kb_relative_information_score
69.673269
kb_relative_information_score
75.623718
kb_relative_information_score
61.525721
kb_relative_information_score
68.658934
kb_relative_information_score
71.779016
kb_relative_information_score
70.763524
kb_relative_information_score
68.47232
kb_relative_information_score
72.426091
kb_relative_information_score
65.97867
kb_relative_information_score
70.37839
kb_relative_information_score
65.452774
kb_relative_information_score
70.200174
kb_relative_information_score
66.61984
kb_relative_information_score
70.020396
kb_relative_information_score
70.607719
kb_relative_information_score
68.681823
kb_relative_information_score
68.547881
kb_relative_information_score
66.509416
kb_relative_information_score
60.076069
kb_relative_information_score
69.837554
kb_relative_information_score
72.488746
kb_relative_information_score
67.461213
kb_relative_information_score
66.693849
kb_relative_information_score
63.278595
kb_relative_information_score
70.482657
kb_relative_information_score
64.240737
kb_relative_information_score
65.526529
kb_relative_information_score
58.175426
kb_relative_information_score
57.827962
kb_relative_information_score
59.921096
kb_relative_information_score
65.61002
kb_relative_information_score
57.740542
kb_relative_information_score
64.78704
kb_relative_information_score
64.712386
kb_relative_information_score
69.009422
kb_relative_information_score
58.365193
kb_relative_information_score
68.891699
mean_absolute_error
0.039279
mean_absolute_error
0.048664
mean_absolute_error
0.042154
mean_absolute_error
0.038416
mean_absolute_error
0.039038
mean_absolute_error
0.038755
mean_absolute_error
0.039192
mean_absolute_error
0.045646
mean_absolute_error
0.043506
mean_absolute_error
0.034671
mean_absolute_error
0.038407
mean_absolute_error
0.040309
mean_absolute_error
0.038517
mean_absolute_error
0.043352
mean_absolute_error
0.049022
mean_absolute_error
0.039448
mean_absolute_error
0.049526
mean_absolute_error
0.04211
mean_absolute_error
0.038606
mean_absolute_error
0.046148
mean_absolute_error
0.031583
mean_absolute_error
0.036435
mean_absolute_error
0.037628
mean_absolute_error
0.047547
mean_absolute_error
0.036002
mean_absolute_error
0.048017
mean_absolute_error
0.036441
mean_absolute_error
0.039229
mean_absolute_error
0.03966
mean_absolute_error
0.041023
mean_absolute_error
0.03629
mean_absolute_error
0.05108
mean_absolute_error
0.040041
mean_absolute_error
0.044189
mean_absolute_error
0.04122
mean_absolute_error
0.041801
mean_absolute_error
0.049815
mean_absolute_error
0.042137
mean_absolute_error
0.039743
mean_absolute_error
0.043069
mean_absolute_error
0.04973
mean_absolute_error
0.042191
mean_absolute_error
0.048271
mean_absolute_error
0.032283
mean_absolute_error
0.046535
mean_absolute_error
0.027198
mean_absolute_error
0.042872
mean_absolute_error
0.044015
mean_absolute_error
0.042461
mean_absolute_error
0.042938
mean_absolute_error
0.057018
mean_absolute_error
0.032671
mean_absolute_error
0.041508
mean_absolute_error
0.047604
mean_absolute_error
0.041326
mean_absolute_error
0.042259
mean_absolute_error
0.03832
mean_absolute_error
0.046435
mean_absolute_error
0.041282
mean_absolute_error
0.047543
mean_absolute_error
0.044339
mean_absolute_error
0.047984
mean_absolute_error
0.043528
mean_absolute_error
0.043296
mean_absolute_error
0.031272
mean_absolute_error
0.054484
mean_absolute_error
0.038594
mean_absolute_error
0.039671
mean_absolute_error
0.039886
mean_absolute_error
0.045535
mean_absolute_error
0.039824
mean_absolute_error
0.04103
mean_absolute_error
0.04328
mean_absolute_error
0.050381
mean_absolute_error
0.041251
mean_absolute_error
0.046996
mean_absolute_error
0.043482
mean_absolute_error
0.04049
mean_absolute_error
0.042398
mean_absolute_error
0.045363
mean_absolute_error
0.040644
mean_absolute_error
0.042953
mean_absolute_error
0.033567
mean_absolute_error
0.028823
mean_absolute_error
0.03945
mean_absolute_error
0.039262
mean_absolute_error
0.040022
mean_absolute_error
0.032041
mean_absolute_error
0.037993
mean_absolute_error
0.041676
mean_absolute_error
0.05109
mean_absolute_error
0.047259
mean_absolute_error
0.046461
mean_absolute_error
0.038692
mean_absolute_error
0.050751
mean_absolute_error
0.041348
mean_absolute_error
0.038769
mean_absolute_error
0.035485
mean_absolute_error
0.047174
mean_absolute_error
0.035181
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
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0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
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0.135738
mean_prior_absolute_error
0.135738
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0.135738
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0.135738
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0.135738
mean_prior_absolute_error
0.135738
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0.135738
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0.135738
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0.135738
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0.135738
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0.135738
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0.135738
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0.135738
mean_prior_absolute_error
0.135738
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0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.131132
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,68,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,9,69,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,68,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,10,68,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,69,0,6,4]
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90 [1,9,69,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,9,69,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,9,69,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,69,0,6,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
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90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,9,69,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
precision
0.910889 [0,0.833333,0.92,0,1,1]
precision
0.936281 [1,0.777778,0.970149,0,0.875,0.8]
precision
0.894753 [1,0.777778,0.916667,0,0.75,1]
precision
0.929303 [0,0.666667,0.970588,0,1,1]
precision
0.950448 [1,1,0.970149,0,0.6,1]
precision
0.968056 [1,1,0.958333,0,1,1]
precision
0.931808 [1,0.875,0.943662,0,1,0.75]
precision
0.910824 [1,0.833333,0.929577,0,0.75,1]
precision
0.924621 [1,0.857143,0.942857,0,0.777778,1]
precision
0.944444 [1,1,0.944444,0,0.833333,1]
precision
0.950981 [1,0.909091,0.984848,0,0.857143,0.6]
precision
0.943539 [1,0.875,0.956522,0,0.875,1]
precision
0.900811 [1,1,0.905405,0,0.6,1]
precision
0.940141 [1,1,0.943662,0,0.75,1]
precision
0.90474 [1,0.714286,0.929577,0,0.857143,1]
precision
0.909926 [1,0.833333,0.906667,0,1,1]
precision
0.913333 [0,0.888889,0.956522,0,0.714286,0.8]
precision
0.946782 [0,0.818182,0.971429,0,1,1]
precision
0.924866 [0,0.875,0.956522,0,0.777778,1]
precision
0.926543 [0,0.888889,0.956522,0,0.75,1]
precision
0.980375 [1,0.909091,1,0,0.857143,1]
precision
0.956964 [0,1,0.957746,0,1,1]
precision
0.924032 [0,0.888889,0.931507,0,1,1]
precision
0.933395 [1,0.875,0.943662,0,0.857143,1]
precision
0.937865 [1,0.818182,0.970149,0,0.714286,1]
precision
0.905715 [0,0.727273,0.955882,0,0.714286,1]
precision
0.957897 [1,1,0.957143,0,0.875,1]
precision
0.925635 [1,0.875,0.942857,0,0.75,1]
precision
0.946667 [0,0.9,0.970588,0,1,0.8]
precision
0.949837 [0,0.75,0.985294,0,1,1]
precision
0.948198 [1,1,0.932432,0,1,1]
precision
0.893827 [0,0.777778,0.941176,0,0.666667,1]
precision
0.926895 [0,0.8,0.970588,0,0.75,1]
precision
0.916843 [1,1,0.929577,0,0.625,1]
precision
0.936306 [0,0.818182,0.957143,0,1,1]
precision
0.937087 [0,1,0.932432,0,1,1]
precision
0.901571 [0,0.777778,0.954545,0,0.636364,1]
precision
0.888762 [0,0.714286,0.906667,0,1,1]
precision
0.931517 [1,0.888889,0.942857,0,0.833333,1]
precision
0.923954 [1,0.7,0.955882,0,1,0.8]
precision
0.915033 [0,0.727273,0.955224,0,0.875,1]
precision
0.957897 [1,1,0.957143,0,0.875,1]
precision
0.914815 [0,0.75,0.955882,0,0.833333,1]
precision
0.944471 [1,1,0.943662,0,0.833333,1]
precision
0.937428 [0,1,0.956522,0,0.875,0.8]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.955556 [1,0.8,0.970588,0,1,1]
precision
0.933642 [1,0.875,0.930556,0,1,1]
precision
0.943545 [1,0.875,0.943662,0,1,1]
precision
0.917593 [1,1,0.916667,0,0.75,1]
precision
0.903781 [1,0.75,0.940299,0,0.7,1]
precision
0.958025 [1,1,0.944444,0,1,1]
precision
0.938272 [1,0.9,0.955882,0,0.777778,1]
precision
0.900437 [0,0.857143,0.928571,0,0.875,0.8]
precision
0.910053 [1,0.857143,0.916667,0,1,0.75]
precision
0.919808 [1,0.857143,0.929577,0,0.857143,1]
precision
0.956508 [1,1,0.957143,0,0.857143,1]
precision
0.920547 [0,0.857143,0.930556,0,1,1]
precision
0.921786 [1,0.777778,0.942029,0,0.875,1]
precision
0.886074 [0,0.8,0.893333,0,1,1]
precision
0.959259 [0,0.833333,0.985294,0,1,1]
precision
0.919384 [1,0.833333,0.929577,0,1,0.8]
precision
0.94825 [1,1,0.931507,0,1,1]
precision
0.934321 [1,0.888889,0.955882,0,0.857143,0.8]
precision
0.944471 [1,1,0.943662,0,0.833333,1]
precision
0.901114 [1,0.777778,0.927536,0,0.75,1]
precision
0.933816 [0,0.8,0.956522,0,1,1]
precision
0.956508 [1,1,0.957143,0,0.857143,1]
precision
0.946989 [0,0.9,0.971014,0,1,0.8]
precision
0.924194 [1,0.777778,0.955224,0,0.777778,1]
precision
0.929012 [1,0.833333,0.930556,0,1,1]
precision
0.936364 [0,0.727273,0.971014,0,1,1]
precision
0.927743 [1,0.875,0.955224,0,0.875,0.666667]
precision
0.892945 [0,0.777778,0.928571,0,0.777778,1]
precision
0.949834 [0,0.75,0.985075,0,1,1]
precision
0.924306 [0,0.833333,0.984375,0,0.75,0.666667]
precision
0.934877 [1,0.888889,0.955882,0,0.75,1]
precision
0.946335 [1,0.9,0.970149,0,0.857143,0.8]
precision
0.943686 [1,0.888889,0.957143,0,0.833333,1]
precision
0.938214 [1,1,0.942857,0,0.875,0.8]
precision
0.934145 [0,0.888889,0.955882,0,0.75,1]
precision
0.949108 [0,0.9,0.970588,0,0.75,1]
precision
0.989785 [0,0.909091,1,0,1,1]
precision
0.966618 [0,0.9,0.971014,0,1,1]
precision
0.965369 [0,0.888889,0.971014,0,1,1]
precision
0.956019 [0,1,0.957143,0,0.857143,1]
precision
0.923094 [0,0.875,0.918919,0,1,1]
precision
0.967146 [0,0.909091,0.985075,0,0.857143,1]
precision
0.931693 [0,0.777778,0.956522,0,0.857143,1]
precision
0.949103 [0,0.75,0.970149,0,1,1]
precision
0.911717 [0,0.875,0.928571,0,0.75,1]
precision
0.934189 [0,0.8,0.956522,0,0.857143,1]
precision
0.907772 [0,0.833333,0.916667,0,0.875,1]
precision
0.909711 [0,0.857143,0.928571,0,0.75,1]
precision
0.893437 [0,0.666667,0.928571,0,0.777778,1]
precision
0.944471 [0,0.888889,0.943662,0,1,1]
precision
0.957611 [0,1,0.957746,0,0.857143,1]
precision
0.958266 [0,1,0.957143,0,1,0.8]
precision
0.910112 [0,0.75,0.942029,0,0.75,1]
precision
0.932584 [0,0.8,0.955882,0,0.857143,1]
predictive_accuracy
0.922222
predictive_accuracy
0.933333
predictive_accuracy
0.9
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.966667
predictive_accuracy
0.933333
predictive_accuracy
0.911111
predictive_accuracy
0.922222
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.9
predictive_accuracy
0.933333
predictive_accuracy
0.911111
predictive_accuracy
0.911111
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.977778
predictive_accuracy
0.966667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.911111
predictive_accuracy
0.955556
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.9
predictive_accuracy
0.933333
predictive_accuracy
0.911111
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.933333
predictive_accuracy
0.922222
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.922222
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.988889
predictive_accuracy
0.955556
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.911111
predictive_accuracy
0.9
predictive_accuracy
0.955556
predictive_accuracy
0.933333
predictive_accuracy
0.911111
predictive_accuracy
0.911111
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.933333
predictive_accuracy
0.922222
predictive_accuracy
0.888889
predictive_accuracy
0.966667
predictive_accuracy
0.922222
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.9
predictive_accuracy
0.944444
predictive_accuracy
0.955556
predictive_accuracy
0.955556
predictive_accuracy
0.922222
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.922222
predictive_accuracy
0.9
predictive_accuracy
0.955556
predictive_accuracy
0.922222
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.932584
predictive_accuracy
0.94382
predictive_accuracy
0.988764
predictive_accuracy
0.966292
predictive_accuracy
0.966292
predictive_accuracy
0.955056
predictive_accuracy
0.921348
predictive_accuracy
0.966292
predictive_accuracy
0.932584
predictive_accuracy
0.94382
predictive_accuracy
0.910112
predictive_accuracy
0.932584
predictive_accuracy
0.910112
predictive_accuracy
0.910112
predictive_accuracy
0.898876
predictive_accuracy
0.94382
predictive_accuracy
0.955056
predictive_accuracy
0.955056
predictive_accuracy
0.910112
predictive_accuracy
0.932584
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
recall
0.922222 [0,0.555556,1,0,0.714286,1]
recall
0.933333 [1,0.777778,0.942029,0,1,1]
recall
0.9 [1,0.7,0.956522,0,0.5,1]
recall
0.933333 [0,0.8,0.956522,0,1,1]
recall
0.933333 [1,0.8,0.942029,0,1,1]
recall
0.966667 [1,0.8,1,0,0.833333,1]
recall
0.933333 [1,0.7,0.971014,0,1,0.75]
recall
0.911111 [1,0.5,0.956522,0,1,1]
recall
0.922222 [1,0.666667,0.956522,0,1,0.75]
recall
0.944444 [1,0.777778,0.985507,0,0.714286,1]
recall
0.944444 [1,1,0.942029,0,1,0.75]
recall
0.944444 [1,0.7,0.970588,0,1,1]
recall
0.9 [1,0.6,0.971014,0,0.5,1]
recall
0.933333 [1,0.7,0.971014,0,1,0.75]
recall
0.911111 [1,0.5,0.956522,0,1,1]
recall
0.911111 [1,0.5,0.985507,0,0.666667,1]
recall
0.922222 [0,0.888889,0.956522,0,0.714286,1]
recall
0.955556 [0,0.9,0.985507,0,1,0.75]
recall
0.933333 [0,0.7,0.970588,0,1,1]
recall
0.933333 [0,0.8,0.956522,0,1,1]
recall
0.977778 [1,1,0.971014,0,1,1]
recall
0.966667 [0,0.9,1,0,0.857143,1]
recall
0.933333 [0,0.8,0.985507,0,0.666667,1]
recall
0.933333 [1,0.7,0.971014,0,1,0.75]
recall
0.933333 [1,0.9,0.942029,0,0.833333,1]
recall
0.911111 [0,0.8,0.942029,0,0.833333,1]
recall
0.955556 [1,0.8,0.985294,0,1,0.75]
recall
0.922222 [1,0.7,0.956522,0,1,0.75]
recall
0.955556 [0,0.9,0.970588,0,1,1]
recall
0.955556 [0,0.9,0.971014,0,1,1]
recall
0.944444 [1,0.6,1,0,0.833333,1]
recall
0.9 [0,0.7,0.941176,0,0.857143,1]
recall
0.933333 [0,0.888889,0.956522,0,0.857143,1]
recall
0.911111 [1,0.666667,0.956522,0,0.714286,1]
recall
0.944444 [0,0.9,0.985294,0,0.857143,0.75]
recall
0.944444 [0,0.555556,1,0,1,1]
recall
0.9 [0,0.7,0.926471,0,1,1]
recall
0.9 [0,0.555556,0.985507,0,0.571429,1]
recall
0.933333 [1,0.8,0.970588,0,0.714286,1]
recall
0.922222 [1,0.7,0.942029,0,1,1]
recall
0.922222 [0,0.8,0.941176,0,1,1]
recall
0.955556 [1,0.7,0.985294,0,1,1]
recall
0.922222 [0,0.9,0.955882,0,0.714286,1]
recall
0.944444 [1,0.8,0.985294,0,0.714286,1]
recall
0.944444 [0,0.8,0.970588,0,1,1]
recall
0.988889 [1,1,1,0,0.857143,1]
recall
0.955556 [1,0.8,0.970588,0,1,1]
recall
0.933333 [1,0.7,0.985294,0,0.857143,0.75]
recall
0.944444 [1,0.7,0.985294,0,1,0.75]
recall
0.911111 [1,0.6,0.970588,0,0.857143,0.75]
recall
0.9 [1,0.6,0.926471,0,1,1]
recall
0.955556 [1,1,1,0,0.428571,1]
recall
0.933333 [1,0.9,0.955882,0,1,0.5]
recall
0.911111 [0,0.6,0.955882,0,1,1]
recall
0.911111 [1,0.6,0.970588,0,0.857143,0.75]
recall
0.922222 [1,0.6,0.970588,0,0.857143,1]
recall
0.955556 [1,0.8,0.985294,0,0.857143,1]
recall
0.933333 [0,0.6,0.985294,0,1,1]
recall
0.922222 [1,0.7,0.955882,0,1,0.75]
recall
0.888889 [0,0.8,0.985294,0,0.428571,0.5]
recall
0.966667 [0,1,0.985294,0,0.857143,1]
recall
0.922222 [1,0.5,0.970588,0,1,1]
recall
0.944444 [1,0.7,1,0,0.857143,0.75]
recall
0.933333 [1,0.8,0.955882,0,0.857143,1]
recall
0.944444 [1,0.8,0.985294,0,0.714286,1]
recall
0.9 [1,0.7,0.941176,0,0.857143,0.75]
recall
0.944444 [0,0.8,0.970588,0,1,1]
recall
0.955556 [1,0.8,0.985294,0,0.857143,1]
recall
0.955556 [0,0.9,0.985294,0,0.857143,1]
recall
0.922222 [1,0.7,0.941176,0,1,1]
recall
0.933333 [1,0.5,0.985294,0,1,1]
recall
0.944444 [0,0.8,0.971014,0,1,1]
recall
0.922222 [1,0.7,0.941176,0,1,1]
recall
0.9 [0,0.7,0.955882,0,1,0.5]
recall
0.955556 [0,0.9,0.970588,0,1,1]
recall
0.922222 [0,1,0.926471,0,0.857143,1]
recall
0.933333 [1,0.8,0.955882,0,0.857143,1]
recall
0.944444 [1,0.9,0.955882,0,0.857143,1]
recall
0.944444 [1,0.8,0.971014,0,0.833333,1]
recall
0.933333 [1,0.6,0.970588,0,1,1]
recall
0.932584 [0,0.8,0.955882,0,0.857143,1]
recall
0.94382 [0,0.9,0.956522,0,1,0.75]
recall
0.988764 [0,1,0.985294,0,1,1]
recall
0.966292 [0,0.9,0.985294,0,0.857143,1]
recall
0.966292 [0,0.8,0.985294,0,1,1]
recall
0.955056 [0,0.8,0.985294,0,0.857143,1]
recall
0.921348 [0,0.7,0.985507,0,0.5,1]
recall
0.966292 [0,1,0.970588,0,0.857143,1]
recall
0.932584 [0,0.7,0.956522,0,1,1]
recall
0.94382 [0,0.9,0.955882,0,0.857143,1]
recall
0.910112 [0,0.7,0.955882,0,0.857143,0.75]
recall
0.932584 [0,0.8,0.956522,0,1,0.75]
recall
0.910112 [0,0.5,0.970588,0,1,0.75]
recall
0.910112 [0,0.6,0.955882,0,0.857143,1]
recall
0.898876 [0,0.444444,0.942029,0,1,1]
recall
0.94382 [0,0.8,0.985294,0,0.857143,0.75]
recall
0.955056 [0,0.7,0.985507,0,1,1]
recall
0.955056 [0,0.8,0.985294,0,0.857143,1]
recall
0.910112 [0,0.6,0.942029,0,1,1]
recall
0.932584 [0,0.8,0.955882,0,0.857143,1]
relative_absolute_error
0.294574
relative_absolute_error
0.36496
relative_absolute_error
0.316443
relative_absolute_error
0.288384
relative_absolute_error
0.293054
relative_absolute_error
0.290933
relative_absolute_error
0.294211
relative_absolute_error
0.34266
relative_absolute_error
0.326276
relative_absolute_error
0.260017
relative_absolute_error
0.28832
relative_absolute_error
0.296958
relative_absolute_error
0.289143
relative_absolute_error
0.32544
relative_absolute_error
0.368004
relative_absolute_error
0.296134
relative_absolute_error
0.371421
relative_absolute_error
0.316115
relative_absolute_error
0.284412
relative_absolute_error
0.346431
relative_absolute_error
0.23709
relative_absolute_error
0.268418
relative_absolute_error
0.28247
relative_absolute_error
0.356929
relative_absolute_error
0.270267
relative_absolute_error
0.360462
relative_absolute_error
0.268463
relative_absolute_error
0.294491
relative_absolute_error
0.292176
relative_absolute_error
0.307958
relative_absolute_error
0.272428
relative_absolute_error
0.376315
relative_absolute_error
0.300287
relative_absolute_error
0.331394
relative_absolute_error
0.303674
relative_absolute_error
0.313485
relative_absolute_error
0.366996
relative_absolute_error
0.316008
relative_absolute_error
0.292789
relative_absolute_error
0.323315
relative_absolute_error
0.366366
relative_absolute_error
0.310823
relative_absolute_error
0.355618
relative_absolute_error
0.23783
relative_absolute_error
0.34283
relative_absolute_error
0.200368
relative_absolute_error
0.31584
relative_absolute_error
0.324263
relative_absolute_error
0.312817
relative_absolute_error
0.316328
relative_absolute_error
0.420059
relative_absolute_error
0.240688
relative_absolute_error
0.305797
relative_absolute_error
0.350706
relative_absolute_error
0.304457
relative_absolute_error
0.311324
relative_absolute_error
0.282307
relative_absolute_error
0.342091
relative_absolute_error
0.304129
relative_absolute_error
0.350253
relative_absolute_error
0.326647
relative_absolute_error
0.353505
relative_absolute_error
0.320676
relative_absolute_error
0.31897
relative_absolute_error
0.230383
relative_absolute_error
0.401388
relative_absolute_error
0.28433
relative_absolute_error
0.292261
relative_absolute_error
0.293843
relative_absolute_error
0.335459
relative_absolute_error
0.293388
relative_absolute_error
0.30801
relative_absolute_error
0.318853
relative_absolute_error
0.371161
relative_absolute_error
0.303904
relative_absolute_error
0.346226
relative_absolute_error
0.320339
relative_absolute_error
0.298295
relative_absolute_error
0.318278
relative_absolute_error
0.334194
relative_absolute_error
0.304326
relative_absolute_error
0.327889
relative_absolute_error
0.251335
relative_absolute_error
0.215814
relative_absolute_error
0.295381
relative_absolute_error
0.293973
relative_absolute_error
0.305514
relative_absolute_error
0.239909
relative_absolute_error
0.290027
relative_absolute_error
0.312054
relative_absolute_error
0.382535
relative_absolute_error
0.360756
relative_absolute_error
0.347875
relative_absolute_error
0.289706
relative_absolute_error
0.387025
relative_absolute_error
0.309592
relative_absolute_error
0.295946
relative_absolute_error
0.265695
relative_absolute_error
0.360107
relative_absolute_error
0.263419
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251998
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_squared_error
0.126957
root_mean_squared_error
0.132191
root_mean_squared_error
0.133036
root_mean_squared_error
0.12792
root_mean_squared_error
0.121102
root_mean_squared_error
0.110314
root_mean_squared_error
0.132435
root_mean_squared_error
0.135966
root_mean_squared_error
0.131477
root_mean_squared_error
0.108544
root_mean_squared_error
0.133923
root_mean_squared_error
0.126157
root_mean_squared_error
0.123872
root_mean_squared_error
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root_mean_squared_error
0.159491
root_mean_squared_error
0.135254
root_mean_squared_error
0.141511
root_mean_squared_error
0.125494
root_mean_squared_error
0.125209
root_mean_squared_error
0.141188
root_mean_squared_error
0.102919
root_mean_squared_error
0.114702
root_mean_squared_error
0.119822
root_mean_squared_error
0.138432
root_mean_squared_error
0.113955
root_mean_squared_error
0.143758
root_mean_squared_error
0.114842
root_mean_squared_error
0.130938
root_mean_squared_error
0.12754
root_mean_squared_error
0.127859
root_mean_squared_error
0.115952
root_mean_squared_error
0.146881
root_mean_squared_error
0.131205
root_mean_squared_error
0.132311
root_mean_squared_error
0.129411
root_mean_squared_error
0.130657
root_mean_squared_error
0.143526
root_mean_squared_error
0.140778
root_mean_squared_error
0.123759
root_mean_squared_error
0.13386
root_mean_squared_error
0.139843
root_mean_squared_error
0.124708
root_mean_squared_error
0.139985
root_mean_squared_error
0.117837
root_mean_squared_error
0.139889
root_mean_squared_error
0.079627
root_mean_squared_error
0.132138
root_mean_squared_error
0.131752
root_mean_squared_error
0.126285
root_mean_squared_error
0.135521
root_mean_squared_error
0.15817
root_mean_squared_error
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root_mean_squared_error
0.123184
root_mean_squared_error
0.149908
root_mean_squared_error
0.139122
root_mean_squared_error
0.137535
root_mean_squared_error
0.111852
root_mean_squared_error
0.14283
root_mean_squared_error
0.128263
root_mean_squared_error
0.166078
root_mean_squared_error
0.122676
root_mean_squared_error
0.148683
root_mean_squared_error
0.129757
root_mean_squared_error
0.129747
root_mean_squared_error
0.110467
root_mean_squared_error
0.156366
root_mean_squared_error
0.125109
root_mean_squared_error
0.117672
root_mean_squared_error
0.123661
root_mean_squared_error
0.138286
root_mean_squared_error
0.123469
root_mean_squared_error
0.124089
root_mean_squared_error
0.140511
root_mean_squared_error
0.144243
root_mean_squared_error
0.124756
root_mean_squared_error
0.150642
root_mean_squared_error
0.122714
root_mean_squared_error
0.12725
root_mean_squared_error
0.121475
root_mean_squared_error
0.134053
root_mean_squared_error
0.11928
root_mean_squared_error
0.130287
root_mean_squared_error
0.101234
root_mean_squared_error
0.10049
root_mean_squared_error
0.111539
root_mean_squared_error
0.115368
root_mean_squared_error
0.131994
root_mean_squared_error
0.107449
root_mean_squared_error
0.127552
root_mean_squared_error
0.120266
root_mean_squared_error
0.15614
root_mean_squared_error
0.141206
root_mean_squared_error
0.149995
root_mean_squared_error
0.13253
root_mean_squared_error
0.145307
root_mean_squared_error
0.122076
root_mean_squared_error
0.114106
root_mean_squared_error
0.109614
root_mean_squared_error
0.144911
root_mean_squared_error
0.119278
root_relative_squared_error
0.495259
root_relative_squared_error
0.515677
root_relative_squared_error
0.519491
root_relative_squared_error
0.499512
root_relative_squared_error
0.472891
root_relative_squared_error
0.430765
root_relative_squared_error
0.517146
root_relative_squared_error
0.530932
root_relative_squared_error
0.512889
root_relative_squared_error
0.423429
root_relative_squared_error
0.522956
root_relative_squared_error
0.483402
root_relative_squared_error
0.483706
root_relative_squared_error
0.520957
root_relative_squared_error
0.622795
root_relative_squared_error
0.528154
root_relative_squared_error
0.552035
root_relative_squared_error
0.49004
root_relative_squared_error
0.479768
root_relative_squared_error
0.551326
root_relative_squared_error
0.401888
root_relative_squared_error
0.439509
root_relative_squared_error
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root_relative_squared_error
0.540562
root_relative_squared_error
0.444982
root_relative_squared_error
0.56136
root_relative_squared_error
0.440046
root_relative_squared_error
0.5113
root_relative_squared_error
0.488701
root_relative_squared_error
0.499274
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.51183
root_relative_squared_error
0.516144
root_relative_squared_error
0.49587
root_relative_squared_error
0.509693
root_relative_squared_error
0.549953
root_relative_squared_error
0.549173
root_relative_squared_error
0.474211
root_relative_squared_error
0.522707
root_relative_squared_error
0.535843
root_relative_squared_error
0.477849
root_relative_squared_error
0.536386
root_relative_squared_error
0.45152
root_relative_squared_error
0.536018
root_relative_squared_error
0.305109
root_relative_squared_error
0.506318
root_relative_squared_error
0.504839
root_relative_squared_error
0.483893
root_relative_squared_error
0.519283
root_relative_squared_error
0.606067
root_relative_squared_error
0.360762
root_relative_squared_error
0.472008
root_relative_squared_error
0.57441
root_relative_squared_error
0.53308
root_relative_squared_error
0.526997
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.491469
root_relative_squared_error
0.636368
root_relative_squared_error
0.470063
root_relative_squared_error
0.569717
root_relative_squared_error
0.497195
root_relative_squared_error
0.497159
root_relative_squared_error
0.42328
root_relative_squared_error
0.599154
root_relative_squared_error
0.479385
root_relative_squared_error
0.45089
root_relative_squared_error
0.473837
root_relative_squared_error
0.529877
root_relative_squared_error
0.473102
root_relative_squared_error
0.484555
root_relative_squared_error
0.538402
root_relative_squared_error
0.552703
root_relative_squared_error
0.478032
root_relative_squared_error
0.577221
root_relative_squared_error
0.470207
root_relative_squared_error
0.487588
root_relative_squared_error
0.474345
root_relative_squared_error
0.513656
root_relative_squared_error
0.464556
root_relative_squared_error
0.517557
root_relative_squared_error
0.394274
root_relative_squared_error
0.391375
root_relative_squared_error
0.434406
root_relative_squared_error
0.449318
root_relative_squared_error
0.524339
root_relative_squared_error
0.418477
root_relative_squared_error
0.506693
root_relative_squared_error
0.468397
root_relative_squared_error
0.608112
root_relative_squared_error
0.560933
root_relative_squared_error
0.58418
root_relative_squared_error
0.516158
root_relative_squared_error
0.576619
root_relative_squared_error
0.475444
root_relative_squared_error
0.453279
root_relative_squared_error
0.42691
root_relative_squared_error
0.575651
root_relative_squared_error
0.464549
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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