213858
2
Joaquin Vanschoren
1882
Supervised Classification
predictive_accuracy
1185
weka.Bagging_REPTree(8)
2035
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 80 -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
80
1185
W
weka.classifiers.trees.REPTree
1185
weka
weka_3.7.12
2
anneal
https://www.openml.org/data/download/1666876/phpFsFYVN
-1
712680
description
https://api.openml.org/data/download/712680/weka_generated_run6234550299662629805.xml
-1
712683
model_readable
https://api.openml.org/data/download/712683/WekaModel_weka.classifiers.meta.Bagging2333139713543013607.model
-1
712682
model_serialized
https://api.openml.org/data/download/712682/WekaSerialized_weka.classifiers.meta.Bagging6304817404180127314.model
-1
712681
predictions
https://api.openml.org/data/download/712681/weka_generated_predictions8396699788275021136.arff
area_under_roc_curve
0.983936 [0.894857,0.988248,0.983338,0.0,0.995583,0.981797]
average_cost
0
f_measure
0.936525 [0.769231,0.813211,0.961093,0,0.883002,0.944724]
kappa
0.840267
kb_relative_information_score
6758.99485
mean_absolute_error
0.041954
mean_prior_absolute_error
0.134305
number_of_instances
8980 [80,990,6840,0,670,400]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.93709 [1,0.876313,0.950916,0,0.870827,0.949495]
predictive_accuracy
0.937862
prior_entropy
1.214875
recall
0.937862 [0.625,0.758586,0.971491,0,0.895522,0.94]
relative_absolute_error
0.312378
root_mean_prior_squared_error
0.258218
root_mean_squared_error
0.127909
root_relative_squared_error
0.495353
scimark_benchmark
939.449026 [547.8142687314753, 1013.1204302006943, 481.49857166643204, 902.6997108813531, 1752.1121496976039]
total_cost
0
usercpu_time_millis
1340
usercpu_time_millis_testing
30
usercpu_time_millis_training
1310
area_under_roc_curve
0.991312 [0.988764,0.972565,0.992409,0.0,1,1]
area_under_roc_curve
0.989994 [1,0.994513,0.987923,0.0,0.998279,0.998547]
area_under_roc_curve
0.982851 [1,0.98375,0.980676,0.0,0.992063,1]
area_under_roc_curve
0.983033 [0.988764,0.979375,0.981021,0.0,1,1]
area_under_roc_curve
0.992725 [1,1,0.991028,0.0,0.994048,1]
area_under_roc_curve
0.997302 [1,0.99,0.99793,0.0,1,1]
area_under_roc_curve
0.983623 [1,0.989375,0.981021,0.0,1,0.985465]
area_under_roc_curve
0.981124 [1,0.9825,0.978606,0.0,0.992063,1]
area_under_roc_curve
0.980554 [1,0.986283,0.979296,0.0,0.998279,0.953488]
area_under_roc_curve
0.997087 [1,1,0.996549,0.0,0.996558,1]
area_under_roc_curve
0.97297 [1,1,0.969634,0.0,0.998016,0.918605]
area_under_roc_curve
0.985954 [1,0.9875,0.983957,0.0,0.993115,1]
area_under_roc_curve
0.990582 [1,0.995,0.989648,0.0,0.986111,1]
area_under_roc_curve
0.977984 [1,0.9925,0.979296,0.0,0.992063,0.892442]
area_under_roc_curve
0.95088 [1,0.94125,0.94479,0.0,0.996032,1]
area_under_roc_curve
0.992652 [1,0.98625,0.992409,0.0,1,1]
area_under_roc_curve
0.986223 [0.988764,0.995885,0.984127,0.0,0.986231,1]
area_under_roc_curve
0.992371 [1,0.995625,0.991373,0.0,0.992063,1]
area_under_roc_curve
0.993343 [1,0.9925,0.992647,0.0,0.996558,1]
area_under_roc_curve
0.97632 [0.679775,0.984375,0.97619,0.0,0.998016,1]
area_under_roc_curve
0.992434 [1,0.995,0.991028,0.0,0.998016,1]
area_under_roc_curve
0.989113 [0.421348,0.99625,0.994652,0.0,1,1]
area_under_roc_curve
0.983112 [0.544944,0.98875,0.986197,0.0,1,1]
area_under_roc_curve
0.988865 [1,0.9925,0.987578,0.0,0.998016,0.985465]
area_under_roc_curve
0.991389 [1,0.9975,0.990338,0.0,0.986111,1]
area_under_roc_curve
0.978565 [1,0.97375,0.976536,0.0,0.992063,1]
area_under_roc_curve
0.994655 [1,0.9975,0.993984,0.0,0.998279,0.991279]
area_under_roc_curve
0.986881 [1,0.995,0.984127,0.0,0.996032,0.997093]
area_under_roc_curve
0.980125 [0.707865,0.99125,0.979278,0.0,1,1]
area_under_roc_curve
0.983381 [0.977528,0.98125,0.981366,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.980054 [0.988764,0.98125,0.977941,0.0,0.986231,1]
area_under_roc_curve
0.987076 [0.988764,0.992455,0.985162,0.0,0.991394,1]
area_under_roc_curve
0.986877 [1,0.995885,0.984817,0.0,0.986231,1]
area_under_roc_curve
0.991235 [0.988764,0.9975,0.990642,0.0,1,0.97093]
area_under_roc_curve
0.980616 [0.342697,0.987654,0.985852,0.0,1,1]
area_under_roc_curve
0.978234 [0.955056,0.978125,0.975602,0.0,0.994836,1]
area_under_roc_curve
0.991351 [0.988764,0.983539,0.991028,0.0,1,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.961242 [1,0.975,0.955214,0.0,0.972461,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.973681 [0.44382,0.96875,0.977941,0.0,1,1]
area_under_roc_curve
0.989535 [1,0.99125,0.987968,0.0,0.994836,1]
area_under_roc_curve
0.979615 [1,0.99125,0.986631,0.0,0.996558,0.796512]
area_under_roc_curve
0.996442 [0.977528,0.9975,0.995989,0.0,1,1]
area_under_roc_curve
0.976755 [1,0.98625,0.971257,0.0,1,1]
area_under_roc_curve
0.979247 [1,0.99375,0.979278,0.0,0.996558,0.906977]
area_under_roc_curve
0.984667 [1,0.985,0.98262,0.0,0.993115,1]
area_under_roc_curve
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area_under_roc_curve
0.966582 [1,0.976875,0.960227,0.0,0.991394,0.997093]
area_under_roc_curve
0.980925 [0.370787,0.99125,0.985294,0.0,1,1]
area_under_roc_curve
0.993992 [1,0.995,0.993316,0.0,0.994836,1]
area_under_roc_curve
0.990354 [1,0.995,0.987968,0.0,1,1]
area_under_roc_curve
0.981646 [1,0.9875,0.97861,0.0,0.989673,1]
area_under_roc_curve
0.99678 [1,0.99375,0.996658,0.0,1,1]
area_under_roc_curve
0.987683 [0.988764,0.983125,0.986542,0.0,1,1]
area_under_roc_curve
0.973492 [1,0.995625,0.966243,0.0,1,0.988372]
area_under_roc_curve
0.986639 [1,0.99125,0.983957,0.0,0.996558,1]
area_under_roc_curve
0.992249 [0.988764,0.995,0.990642,0.0,1,1]
area_under_roc_curve
0.970119 [1,0.9975,0.962567,0.0,0.989673,0.988372]
area_under_roc_curve
0.988114 [1,0.98875,0.986631,0.0,0.993115,1]
area_under_roc_curve
0.985346 [1,0.9875,0.98262,0.0,0.998279,1]
area_under_roc_curve
0.988571 [1,0.99,0.986888,0.0,0.996032,1]
area_under_roc_curve
0.980995 [1,0.995,0.975936,0.0,0.996558,1]
area_under_roc_curve
0.989777 [0.0,0.992405,0.988095,0.0,0.996516,1]
area_under_roc_curve
0.985274 [0.0,0.989873,0.983333,0.0,0.995984,0.991176]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.987735 [0.0,0.986076,0.985994,0.0,1,1]
area_under_roc_curve
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area_under_roc_curve
0.990733 [0.0,0.994937,0.98913,0.0,0.995984,1]
area_under_roc_curve
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area_under_roc_curve
0.979497 [0.0,0.987342,0.976087,0.0,0.991968,1]
area_under_roc_curve
0.990586 [0.0,0.992405,0.988796,0.0,1,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.971502 [0.0,0.9625,0.968841,0.0,0.993031,1]
area_under_roc_curve
0.990586 [0.0,0.992405,0.988796,0.0,1,1]
area_under_roc_curve
0.99648 [0.0,0.993671,0.996377,0.0,1,1]
area_under_roc_curve
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area_under_roc_curve
0.976795 [0.0,0.967089,0.975362,0.0,0.993976,1]
area_under_roc_curve
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f_measure
0.941267 [1,0.823529,0.964539,0,0.923077,0.857143]
f_measure
0.94403 [1,0.888889,0.963504,0,0.857143,0.888889]
f_measure
0.942527 [1,0.888889,0.964029,0,0.769231,1]
f_measure
0.889411 [1,0.736842,0.926471,0,0.75,0.857143]
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
0.937976 [0,0.9,0.971014,0,0.833333,0.888889]
f_measure
0.934225 [1,0.8,0.955224,0,0.875,1]
f_measure
0.93617 [1,0.666667,0.964539,0,1,1]
f_measure
0.940212 [0,0.761905,0.971014,0,1,1]
f_measure
0.934251 [1,0.842105,0.955882,0,0.923077,0.8]
f_measure
0.925441 [0,0.857143,0.963504,0,0.933333,0.666667]
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
0.912882 [1,0.761905,0.940299,0,0.8,1]
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
0.942765 [0,0.842105,0.964029,0,0.923077,0.857143]
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
0.967584 [0,0.952381,0.977444,0,0.875,1]
f_measure
0.931538 [0,0.736842,0.956522,0,0.923077,1]
f_measure
0.96697 [0,0.857143,0.977778,0,1,1]
f_measure
0.929816 [0,0.777778,0.957143,0,0.923077,0.857143]
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
0.928158 [0,0.705882,0.957143,0,0.923077,1]
f_measure
0.892779 [0,0.533333,0.935252,0,0.875,1]
f_measure
0.943223 [0,0.8,0.963504,0,1,0.857143]
f_measure
0.952835 [0,0.823529,0.971429,0,0.923077,1]
f_measure
0.965791 [0,0.888889,0.978102,0,1,0.888889]
f_measure
0.896791 [0,0.666667,0.935252,0,0.769231,1]
f_measure
0.955056 [0,0.9,0.970588,0,0.857143,1]
kappa
0.81263
kappa
0.8373
kappa
0.73009
kappa
0.858357
kappa
0.861836
kappa
0.94133
kappa
0.82399
kappa
0.76593
kappa
0.850449
kappa
0.882889
kappa
0.866588
kappa
0.861751
kappa
0.790906
kappa
0.856184
kappa
0.730808
kappa
0.808782
kappa
0.864171
kappa
0.888889
kappa
0.833795
kappa
0.855862
kappa
0.916898
kappa
0.882468
kappa
0.8498
kappa
0.856
kappa
0.917
kappa
0.777778
kappa
0.887183
kappa
0.798658
kappa
0.861368
kappa
0.888752
kappa
0.772152
kappa
0.755065
kappa
0.863884
kappa
0.790837
kappa
0.884541
kappa
0.843967
kappa
0.809495
kappa
0.738941
kappa
0.830774
kappa
0.831039
kappa
0.812779
kappa
0.830933
kappa
0.827145
kappa
0.856368
kappa
0.806094
kappa
0.972299
kappa
0.86639
kappa
0.824047
kappa
0.850697
kappa
0.831092
kappa
0.760142
kappa
0.882583
kappa
0.856092
kappa
0.774577
kappa
0.765854
kappa
0.799107
kappa
0.887289
kappa
0.824047
kappa
0.861751
kappa
0.68652
kappa
0.918132
kappa
0.791598
kappa
0.850548
kappa
0.861878
kappa
0.856368
kappa
0.728097
kappa
0.86124
kappa
0.887289
kappa
0.858713
kappa
0.842657
kappa
0.850993
kappa
0.858357
kappa
0.8373
kappa
0.833024
kappa
0.892825
kappa
0.822435
kappa
0.790026
kappa
0.866627
kappa
0.856092
kappa
0.831408
kappa
0.829665
kappa
0.848999
kappa
0.9721
kappa
0.913058
kappa
0.913142
kappa
0.881963
kappa
0.769345
kappa
0.919384
kappa
0.822709
kappa
0.916301
kappa
0.815289
kappa
0.822355
kappa
0.754229
kappa
0.815671
kappa
0.729209
kappa
0.854954
kappa
0.876987
kappa
0.913312
kappa
0.72875
kappa
0.886335
kb_relative_information_score
67.282462
kb_relative_information_score
66.54144
kb_relative_information_score
66.722596
kb_relative_information_score
66.83207
kb_relative_information_score
70.730488
kb_relative_information_score
69.706256
kb_relative_information_score
66.781221
kb_relative_information_score
65.588088
kb_relative_information_score
64.950003
kb_relative_information_score
73.711982
kb_relative_information_score
68.185979
kb_relative_information_score
71.46457
kb_relative_information_score
69.150455
kb_relative_information_score
65.940897
kb_relative_information_score
61.36396
kb_relative_information_score
68.764343
kb_relative_information_score
65.276435
kb_relative_information_score
66.863974
kb_relative_information_score
71.232918
kb_relative_information_score
62.111126
kb_relative_information_score
74.065032
kb_relative_information_score
70.683411
kb_relative_information_score
65.755804
kb_relative_information_score
64.533325
kb_relative_information_score
70.797443
kb_relative_information_score
62.594007
kb_relative_information_score
72.179701
kb_relative_information_score
67.110642
kb_relative_information_score
68.150752
kb_relative_information_score
66.030678
kb_relative_information_score
70.33548
kb_relative_information_score
65.239366
kb_relative_information_score
65.5388
kb_relative_information_score
67.677924
kb_relative_information_score
69.57274
kb_relative_information_score
65.62078
kb_relative_information_score
63.899321
kb_relative_information_score
67.555463
kb_relative_information_score
72.620617
kb_relative_information_score
66.329782
kb_relative_information_score
61.446902
kb_relative_information_score
70.959967
kb_relative_information_score
66.323961
kb_relative_information_score
74.470884
kb_relative_information_score
64.4822
kb_relative_information_score
79.65853
kb_relative_information_score
70.640144
kb_relative_information_score
67.708489
kb_relative_information_score
68.254835
kb_relative_information_score
70.86471
kb_relative_information_score
63.273523
kb_relative_information_score
77.222346
kb_relative_information_score
71.058951
kb_relative_information_score
60.949135
kb_relative_information_score
67.465334
kb_relative_information_score
69.514014
kb_relative_information_score
74.6947
kb_relative_information_score
64.262302
kb_relative_information_score
71.264091
kb_relative_information_score
62.37157
kb_relative_information_score
69.645428
kb_relative_information_score
67.413042
kb_relative_information_score
68.264879
kb_relative_information_score
69.199278
kb_relative_information_score
75.588366
kb_relative_information_score
61.121186
kb_relative_information_score
68.334074
kb_relative_information_score
72.295327
kb_relative_information_score
71.072307
kb_relative_information_score
69.565966
kb_relative_information_score
72.612066
kb_relative_information_score
67.211384
kb_relative_information_score
69.79833
kb_relative_information_score
66.487619
kb_relative_information_score
68.990811
kb_relative_information_score
65.379548
kb_relative_information_score
69.206607
kb_relative_information_score
70.668341
kb_relative_information_score
66.450992
kb_relative_information_score
68.812467
kb_relative_information_score
65.508841
kb_relative_information_score
59.94543
kb_relative_information_score
71.948794
kb_relative_information_score
71.682661
kb_relative_information_score
67.412641
kb_relative_information_score
67.893611
kb_relative_information_score
64.958492
kb_relative_information_score
69.957615
kb_relative_information_score
64.534012
kb_relative_information_score
66.431366
kb_relative_information_score
59.410488
kb_relative_information_score
58.921063
kb_relative_information_score
59.237833
kb_relative_information_score
65.198584
kb_relative_information_score
57.769729
kb_relative_information_score
65.827104
kb_relative_information_score
65.643683
kb_relative_information_score
68.041864
kb_relative_information_score
58.637116
kb_relative_information_score
69.536986
mean_absolute_error
0.041265
mean_absolute_error
0.045185
mean_absolute_error
0.043799
mean_absolute_error
0.041244
mean_absolute_error
0.03707
mean_absolute_error
0.038197
mean_absolute_error
0.040623
mean_absolute_error
0.04687
mean_absolute_error
0.043851
mean_absolute_error
0.034107
mean_absolute_error
0.038604
mean_absolute_error
0.040467
mean_absolute_error
0.039444
mean_absolute_error
0.043424
mean_absolute_error
0.049692
mean_absolute_error
0.039896
mean_absolute_error
0.046482
mean_absolute_error
0.042584
mean_absolute_error
0.039303
mean_absolute_error
0.046295
mean_absolute_error
0.031781
mean_absolute_error
0.035746
mean_absolute_error
0.039956
mean_absolute_error
0.04567
mean_absolute_error
0.036684
mean_absolute_error
0.048759
mean_absolute_error
0.0371
mean_absolute_error
0.040384
mean_absolute_error
0.040824
mean_absolute_error
0.042772
mean_absolute_error
0.037483
mean_absolute_error
0.050228
mean_absolute_error
0.043907
mean_absolute_error
0.043635
mean_absolute_error
0.038934
mean_absolute_error
0.041895
mean_absolute_error
0.05008
mean_absolute_error
0.041371
mean_absolute_error
0.039058
mean_absolute_error
0.043938
mean_absolute_error
0.050237
mean_absolute_error
0.040334
mean_absolute_error
0.047866
mean_absolute_error
0.03441
mean_absolute_error
0.046543
mean_absolute_error
0.028119
mean_absolute_error
0.041474
mean_absolute_error
0.045357
mean_absolute_error
0.043668
mean_absolute_error
0.04187
mean_absolute_error
0.054861
mean_absolute_error
0.03268
mean_absolute_error
0.041847
mean_absolute_error
0.05189
mean_absolute_error
0.044566
mean_absolute_error
0.04203
mean_absolute_error
0.036233
mean_absolute_error
0.047316
mean_absolute_error
0.041856
mean_absolute_error
0.04633
mean_absolute_error
0.04175
mean_absolute_error
0.047206
mean_absolute_error
0.044365
mean_absolute_error
0.04412
mean_absolute_error
0.033292
mean_absolute_error
0.05527
mean_absolute_error
0.040134
mean_absolute_error
0.039497
mean_absolute_error
0.038679
mean_absolute_error
0.044228
mean_absolute_error
0.040093
mean_absolute_error
0.039668
mean_absolute_error
0.043775
mean_absolute_error
0.047644
mean_absolute_error
0.043103
mean_absolute_error
0.04876
mean_absolute_error
0.044977
mean_absolute_error
0.040486
mean_absolute_error
0.04539
mean_absolute_error
0.045014
mean_absolute_error
0.041872
mean_absolute_error
0.043252
mean_absolute_error
0.030746
mean_absolute_error
0.030879
mean_absolute_error
0.039161
mean_absolute_error
0.036917
mean_absolute_error
0.037765
mean_absolute_error
0.033027
mean_absolute_error
0.037094
mean_absolute_error
0.039603
mean_absolute_error
0.049055
mean_absolute_error
0.046162
mean_absolute_error
0.046667
mean_absolute_error
0.041184
mean_absolute_error
0.050728
mean_absolute_error
0.03883
mean_absolute_error
0.037508
mean_absolute_error
0.037041
mean_absolute_error
0.046658
mean_absolute_error
0.035265
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
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
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
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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]
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 [1,10,69,0,6,4]
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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 [1,9,69,0,7,4]
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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]
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 [1,9,69,0,7,4]
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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 [1,10,69,0,6,4]
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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 [1,10,68,0,7,4]
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90 [1,9,69,0,7,4]
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90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
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]
number_of_instances
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]
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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]
number_of_instances
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 [1,10,68,0,7,4]
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
0.92042 [0,0.833333,0.932432,0,1,1]
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
0.936364 [0,0.727273,0.971014,0,1,1]
precision
0.955229 [1,1,0.970588,0,0.666667,1]
precision
0.978404 [1,1,0.971831,0,1,1]
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
0.947685 [1,1,0.944444,0,0.875,1]
precision
0.957883 [1,1,0.957746,0,0.875,1]
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
0.927712 [1,1,0.930556,0,0.714286,1]
precision
0.950476 [1,1,0.957143,0,0.75,1]
precision
0.893254 [1,0.714286,0.916667,0,0.833333,1]
precision
0.938667 [1,1,0.92,0,1,1]
precision
0.940162 [0,0.888889,0.985075,0,0.777778,0.8]
precision
0.947889 [0,0.818182,0.985294,0,0.857143,1]
precision
0.924866 [0,0.875,0.956522,0,0.777778,1]
precision
0.934162 [0,0.888889,0.957143,0,0.857143,1]
precision
0.968091 [1,0.9,0.985294,0,0.857143,1]
precision
0.946914 [0,1,0.944444,0,1,1]
precision
0.933951 [0,0.888889,0.944444,0,1,1]
precision
0.945273 [1,0.888889,0.957143,0,0.857143,1]
precision
0.972059 [1,1,0.985294,0,0.75,1]
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
0.936039 [0,0.9,0.956522,0,1,0.8]
precision
0.949837 [0,0.75,0.985294,0,1,1]
precision
0.929386 [1,1,0.907895,0,1,1]
precision
0.893827 [0,0.777778,0.941176,0,0.666667,1]
precision
0.93982 [0,0.818182,0.985075,0,0.75,1]
precision
0.924537 [1,1,0.930556,0,0.714286,1]
precision
0.945853 [0,0.9,0.957746,0,1,1]
precision
0.937087 [0,1,0.932432,0,1,1]
precision
0.91358 [0,0.777778,0.955882,0,0.777778,1]
precision
0.901608 [0,0.833333,0.907895,0,1,1]
precision
0.931517 [1,0.888889,0.942857,0,0.833333,1]
precision
0.934365 [1,0.875,0.956522,0,0.857143,0.8]
precision
0.915552 [0,0.8,0.955224,0,0.777778,1]
precision
0.931825 [1,0.875,0.942857,0,0.857143,1]
precision
0.921014 [0,0.888889,0.943662,0,0.833333,1]
precision
0.944471 [1,1,0.943662,0,0.833333,1]
precision
0.912743 [0,0.888889,0.942029,0,0.857143,0.8]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.947143 [1,0.727273,0.970149,0,1,1]
precision
0.933642 [1,0.875,0.930556,0,1,1]
precision
0.94825 [1,1,0.931507,0,1,1]
precision
0.937381 [1,1,0.942857,0,0.75,1]
precision
0.903781 [1,0.75,0.940299,0,0.7,1]
precision
0.958025 [1,1,0.944444,0,1,1]
precision
0.947711 [1,1,0.943662,0,0.875,1]
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
0.943539 [1,0.875,0.956522,0,0.875,1]
precision
0.886074 [0,0.8,0.893333,0,1,1]
precision
0.959259 [0,0.833333,0.985294,0,1,1]
precision
0.929011 [1,1,0.917808,0,1,0.8]
precision
0.94825 [1,1,0.931507,0,1,1]
precision
0.94715 [1,1,0.956522,0,0.857143,0.8]
precision
0.944471 [1,1,0.943662,0,0.833333,1]
precision
0.893827 [1,0.777778,0.926471,0,0.666667,1]
precision
0.933816 [0,0.8,0.956522,0,1,1]
precision
0.956508 [1,1,0.957143,0,0.857143,1]
precision
0.936508 [0,0.9,0.957143,0,1,0.8]
precision
0.937598 [1,0.8,0.969697,0,0.777778,1]
precision
0.94825 [1,1,0.931507,0,1,1]
precision
0.936364 [0,0.727273,0.971014,0,1,1]
precision
0.939506 [1,0.888889,0.955882,0,1,0.666667]
precision
0.926114 [0,0.818182,0.956522,0,0.875,1]
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
0.915909 [1,0.727273,0.954545,0,0.75,1]
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
0.944658 [0,0.888889,0.957143,0,0.857143,1]
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
0.972307 [0,0.909091,1,0,0.777778,1]
precision
0.931693 [0,0.777778,0.956522,0,0.857143,1]
precision
0.968167 [0,0.818182,0.985075,0,1,1]
precision
0.932896 [0,0.875,0.930556,0,1,1]
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
0.93089 [0,0.857143,0.930556,0,1,1]
precision
0.893437 [0,0.666667,0.928571,0,0.777778,1]
precision
0.944309 [0,0.8,0.956522,0,1,1]
precision
0.957611 [0,1,0.957746,0,0.857143,1]
precision
0.968865 [0,1,0.971014,0,1,0.8]
precision
0.897271 [0,0.75,0.928571,0,0.714286,1]
precision
0.955056 [0,0.9,0.970588,0,0.857143,1]
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.9
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.977778
predictive_accuracy
0.933333
predictive_accuracy
0.911111
predictive_accuracy
0.944444
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.922222
predictive_accuracy
0.944444
predictive_accuracy
0.9
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.955556
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.966667
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.966667
predictive_accuracy
0.911111
predictive_accuracy
0.955556
predictive_accuracy
0.922222
predictive_accuracy
0.944444
predictive_accuracy
0.955556
predictive_accuracy
0.922222
predictive_accuracy
0.9
predictive_accuracy
0.944444
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.922222
predictive_accuracy
0.911111
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.922222
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.922222
predictive_accuracy
0.988889
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.9
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.911111
predictive_accuracy
0.911111
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.888889
predictive_accuracy
0.966667
predictive_accuracy
0.922222
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.888889
predictive_accuracy
0.944444
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.955556
predictive_accuracy
0.922222
predictive_accuracy
0.911111
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
0.966292
predictive_accuracy
0.932584
predictive_accuracy
0.932584
predictive_accuracy
0.910112
predictive_accuracy
0.932584
predictive_accuracy
0.898876
predictive_accuracy
0.94382
predictive_accuracy
0.955056
predictive_accuracy
0.966292
predictive_accuracy
0.898876
predictive_accuracy
0.955056
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
0.933333 [0,0.555556,1,0,0.857143,1]
recall
0.933333 [1,0.777778,0.942029,0,1,1]
recall
0.9 [1,0.7,0.956522,0,0.5,1]
recall
0.944444 [0,0.8,0.971014,0,1,1]
recall
0.944444 [1,0.8,0.956522,0,1,1]
recall
0.977778 [1,0.8,1,0,1,1]
recall
0.933333 [1,0.7,0.971014,0,1,0.75]
recall
0.911111 [1,0.5,0.956522,0,1,1]
recall
0.944444 [1,0.666667,0.985507,0,1,0.75]
recall
0.955556 [1,0.666667,0.985507,0,1,1]
recall
0.944444 [1,1,0.942029,0,1,0.75]
recall
0.944444 [1,0.7,0.970588,0,1,1]
recall
0.922222 [1,0.6,0.971014,0,0.833333,1]
recall
0.944444 [1,0.8,0.971014,0,1,0.75]
recall
0.9 [1,0.5,0.956522,0,0.833333,1]
recall
0.933333 [1,0.6,1,0,0.666667,1]
recall
0.944444 [0,0.888889,0.956522,0,1,1]
recall
0.955556 [0,0.9,0.971014,0,1,1]
recall
0.933333 [0,0.7,0.970588,0,1,1]
recall
0.944444 [0,0.8,0.971014,0,1,1]
recall
0.966667 [1,0.9,0.971014,0,1,1]
recall
0.955556 [0,0.9,1,0,0.714286,1]
recall
0.944444 [0,0.8,0.985507,0,0.833333,1]
recall
0.944444 [1,0.8,0.971014,0,1,0.75]
recall
0.966667 [1,0.9,0.971014,0,1,1]
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
0.944444 [0,0.9,0.970588,0,0.857143,1]
recall
0.955556 [0,0.9,0.971014,0,1,1]
recall
0.922222 [1,0.5,1,0,0.666667,1]
recall
0.9 [0,0.7,0.941176,0,0.857143,1]
recall
0.944444 [0,1,0.956522,0,0.857143,1]
recall
0.922222 [1,0.666667,0.971014,0,0.714286,1]
recall
0.955556 [0,0.9,1,0,0.857143,0.75]
recall
0.944444 [0,0.555556,1,0,1,1]
recall
0.922222 [0,0.7,0.955882,0,1,1]
recall
0.911111 [0,0.555556,1,0,0.571429,1]
recall
0.933333 [1,0.8,0.970588,0,0.714286,1]
recall
0.933333 [1,0.7,0.956522,0,1,1]
recall
0.922222 [0,0.8,0.941176,0,1,1]
recall
0.933333 [1,0.7,0.970588,0,0.857143,1]
recall
0.933333 [0,0.8,0.985294,0,0.714286,1]
recall
0.944444 [1,0.8,0.985294,0,0.714286,1]
recall
0.922222 [0,0.8,0.955882,0,0.857143,1]
recall
0.988889 [1,1,1,0,0.857143,1]
recall
0.944444 [1,0.8,0.955882,0,1,1]
recall
0.933333 [1,0.7,0.985294,0,0.857143,0.75]
recall
0.944444 [1,0.6,1,0,1,0.75]
recall
0.933333 [1,0.7,0.970588,0,0.857143,1]
recall
0.9 [1,0.6,0.926471,0,1,1]
recall
0.955556 [1,1,1,0,0.428571,1]
recall
0.944444 [1,0.8,0.985294,0,1,0.5]
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
0.944444 [1,0.7,0.970588,0,1,1]
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 [1,0.5,0.985294,0,0.857143,1]
recall
0.944444 [1,0.7,1,0,0.857143,0.75]
recall
0.944444 [1,0.8,0.970588,0,0.857143,1]
recall
0.944444 [1,0.8,0.985294,0,0.714286,1]
recall
0.888889 [1,0.7,0.926471,0,0.857143,0.75]
recall
0.944444 [0,0.8,0.970588,0,1,1]
recall
0.955556 [1,0.8,0.985294,0,0.857143,1]
recall
0.944444 [0,0.9,0.985294,0,0.714286,1]
recall
0.933333 [1,0.8,0.941176,0,1,1]
recall
0.944444 [1,0.5,1,0,1,1]
recall
0.944444 [0,0.8,0.971014,0,1,1]
recall
0.933333 [1,0.8,0.955882,0,0.857143,1]
recall
0.933333 [0,0.9,0.970588,0,1,0.5]
recall
0.955556 [0,0.9,0.970588,0,1,1]
recall
0.922222 [0,1,0.926471,0,0.857143,1]
recall
0.911111 [1,0.8,0.926471,0,0.857143,1]
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 [0,0.8,0.971014,0,1,0.75]
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 [0,1,0.955882,0,1,1]
recall
0.932584 [0,0.7,0.956522,0,1,1]
recall
0.966292 [0,0.9,0.970588,0,1,1]
recall
0.932584 [0,0.7,0.985294,0,0.857143,0.75]
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
0.932584 [0,0.6,0.985294,0,0.857143,1]
recall
0.898876 [0,0.444444,0.942029,0,1,1]
recall
0.94382 [0,0.8,0.970588,0,1,0.75]
recall
0.955056 [0,0.7,0.985507,0,1,1]
recall
0.966292 [0,0.8,0.985294,0,1,1]
recall
0.898876 [0,0.6,0.942029,0,0.833333,1]
recall
0.955056 [0,0.9,0.970588,0,0.857143,1]
relative_absolute_error
0.309467
relative_absolute_error
0.338864
relative_absolute_error
0.328797
relative_absolute_error
0.309613
relative_absolute_error
0.278281
relative_absolute_error
0.286743
relative_absolute_error
0.304957
relative_absolute_error
0.351853
relative_absolute_error
0.328865
relative_absolute_error
0.255785
relative_absolute_error
0.289798
relative_absolute_error
0.298122
relative_absolute_error
0.296101
relative_absolute_error
0.325977
relative_absolute_error
0.373035
relative_absolute_error
0.2995
relative_absolute_error
0.348592
relative_absolute_error
0.319678
relative_absolute_error
0.289553
relative_absolute_error
0.34753
relative_absolute_error
0.238574
relative_absolute_error
0.263343
relative_absolute_error
0.29995
relative_absolute_error
0.342844
relative_absolute_error
0.275388
relative_absolute_error
0.366027
relative_absolute_error
0.27332
relative_absolute_error
0.303159
relative_absolute_error
0.300753
relative_absolute_error
0.321086
relative_absolute_error
0.281381
relative_absolute_error
0.370038
relative_absolute_error
0.329283
relative_absolute_error
0.327246
relative_absolute_error
0.286831
relative_absolute_error
0.314195
relative_absolute_error
0.368944
relative_absolute_error
0.310263
relative_absolute_error
0.287747
relative_absolute_error
0.329839
relative_absolute_error
0.3701
relative_absolute_error
0.297142
relative_absolute_error
0.352638
relative_absolute_error
0.253501
relative_absolute_error
0.342885
relative_absolute_error
0.207153
relative_absolute_error
0.305546
relative_absolute_error
0.334148
relative_absolute_error
0.321711
relative_absolute_error
0.30846
relative_absolute_error
0.404165
relative_absolute_error
0.240758
relative_absolute_error
0.308294
relative_absolute_error
0.382281
relative_absolute_error
0.328325
relative_absolute_error
0.309641
relative_absolute_error
0.266932
relative_absolute_error
0.348585
relative_absolute_error
0.308356
relative_absolute_error
0.341317
relative_absolute_error
0.307575
relative_absolute_error
0.347774
relative_absolute_error
0.326841
relative_absolute_error
0.325035
relative_absolute_error
0.245267
relative_absolute_error
0.407179
relative_absolute_error
0.295669
relative_absolute_error
0.290978
relative_absolute_error
0.284956
relative_absolute_error
0.325836
relative_absolute_error
0.29537
relative_absolute_error
0.297782
relative_absolute_error
0.322495
relative_absolute_error
0.351001
relative_absolute_error
0.317546
relative_absolute_error
0.359221
relative_absolute_error
0.331352
relative_absolute_error
0.298267
relative_absolute_error
0.340742
relative_absolute_error
0.331626
relative_absolute_error
0.313514
relative_absolute_error
0.330172
relative_absolute_error
0.230211
relative_absolute_error
0.231205
relative_absolute_error
0.293217
relative_absolute_error
0.276415
relative_absolute_error
0.288283
relative_absolute_error
0.247288
relative_absolute_error
0.28316
relative_absolute_error
0.296527
relative_absolute_error
0.367304
relative_absolute_error
0.352388
relative_absolute_error
0.349419
relative_absolute_error
0.308367
relative_absolute_error
0.386848
relative_absolute_error
0.290742
relative_absolute_error
0.286324
relative_absolute_error
0.277346
relative_absolute_error
0.356173
relative_absolute_error
0.264048
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
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root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
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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
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
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root_mean_prior_squared_error
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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
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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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
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
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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
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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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
0.129119
root_mean_squared_error
0.126881
root_mean_squared_error
0.135152
root_mean_squared_error
0.130476
root_mean_squared_error
0.113005
root_mean_squared_error
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root_mean_squared_error
0.133461
root_mean_squared_error
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root_mean_squared_error
0.129727
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.129285
root_mean_squared_error
0.131754
root_mean_squared_error
0.120759
root_mean_squared_error
0.14671
root_mean_squared_error
0.133923
root_mean_squared_error
0.126903
root_mean_squared_error
0.121725
root_mean_squared_error
0.126237
root_mean_squared_error
0.14471
root_mean_squared_error
0.134247
root_mean_squared_error
0.121213
root_mean_squared_error
0.134224
root_mean_squared_error
0.141669
root_mean_squared_error
0.125492
root_mean_squared_error
0.133501
root_mean_squared_error
0.114235
root_mean_squared_error
0.138658
root_mean_squared_error
0.079938
root_mean_squared_error
0.129585
root_mean_squared_error
0.134923
root_mean_squared_error
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root_mean_squared_error
0.125201
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.141243
root_mean_squared_error
0.133606
root_mean_squared_error
0.10541
root_mean_squared_error
0.137842
root_mean_squared_error
0.12297
root_mean_squared_error
0.15967
root_mean_squared_error
0.116269
root_mean_squared_error
0.142552
root_mean_squared_error
0.130844
root_mean_squared_error
0.128379
root_mean_squared_error
0.109524
root_mean_squared_error
0.156288
root_mean_squared_error
0.126679
root_mean_squared_error
0.112621
root_mean_squared_error
0.121211
root_mean_squared_error
0.132426
root_mean_squared_error
0.122732
root_mean_squared_error
0.120849
root_mean_squared_error
0.14209
root_mean_squared_error
0.135892
root_mean_squared_error
0.123604
root_mean_squared_error
0.152496
root_mean_squared_error
0.12878
root_mean_squared_error
0.126345
root_mean_squared_error
0.125608
root_mean_squared_error
0.135958
root_mean_squared_error
0.120418
root_mean_squared_error
0.132168
root_mean_squared_error
0.089303
root_mean_squared_error
0.102938
root_mean_squared_error
0.112491
root_mean_squared_error
0.110386
root_mean_squared_error
0.123067
root_mean_squared_error
0.106176
root_mean_squared_error
0.127104
root_mean_squared_error
0.114729
root_mean_squared_error
0.148503
root_mean_squared_error
0.138866
root_mean_squared_error
0.150011
root_mean_squared_error
0.132257
root_mean_squared_error
0.146695
root_mean_squared_error
0.118334
root_mean_squared_error
0.107259
root_mean_squared_error
0.112874
root_mean_squared_error
0.142726
root_mean_squared_error
0.111352
root_relative_squared_error
0.503694
root_relative_squared_error
0.494961
root_relative_squared_error
0.527755
root_relative_squared_error
0.509496
root_relative_squared_error
0.441272
root_relative_squared_error
0.418914
root_relative_squared_error
0.52115
root_relative_squared_error
0.536779
root_relative_squared_error
0.506065
root_relative_squared_error
0.400244
root_relative_squared_error
0.52105
root_relative_squared_error
0.477425
root_relative_squared_error
0.483556
root_relative_squared_error
0.507231
root_relative_squared_error
0.61695
root_relative_squared_error
0.489677
root_relative_squared_error
0.520867
root_relative_squared_error
0.486793
root_relative_squared_error
0.465273
root_relative_squared_error
0.528467
root_relative_squared_error
0.3876
root_relative_squared_error
0.43128
root_relative_squared_error
0.487591
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0.51124
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0.432728
root_relative_squared_error
0.505546
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0.495385
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root_relative_squared_error
0.466418
root_relative_squared_error
0.49245
root_relative_squared_error
0.554491
root_relative_squared_error
0.523699
root_relative_squared_error
0.464455
root_relative_squared_error
0.524131
root_relative_squared_error
0.542838
root_relative_squared_error
0.480854
root_relative_squared_error
0.511542
root_relative_squared_error
0.437718
root_relative_squared_error
0.531301
root_relative_squared_error
0.3063
root_relative_squared_error
0.496538
root_relative_squared_error
0.51699
root_relative_squared_error
0.495105
root_relative_squared_error
0.479736
root_relative_squared_error
0.597323
root_relative_squared_error
0.354036
root_relative_squared_error
0.452403
root_relative_squared_error
0.587667
root_relative_squared_error
0.541205
root_relative_squared_error
0.511942
root_relative_squared_error
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root_relative_squared_error
0.528173
root_relative_squared_error
0.471191
root_relative_squared_error
0.611815
root_relative_squared_error
0.445513
root_relative_squared_error
0.546221
root_relative_squared_error
0.501362
root_relative_squared_error
0.491914
root_relative_squared_error
0.419668
root_relative_squared_error
0.598854
root_relative_squared_error
0.485402
root_relative_squared_error
0.431536
root_relative_squared_error
0.464448
root_relative_squared_error
0.507424
root_relative_squared_error
0.470278
root_relative_squared_error
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root_relative_squared_error
0.544454
root_relative_squared_error
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root_relative_squared_error
0.473618
root_relative_squared_error
0.584327
root_relative_squared_error
0.493453
root_relative_squared_error
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root_relative_squared_error
0.490484
root_relative_squared_error
0.520957
root_relative_squared_error
0.468989
root_relative_squared_error
0.52503
root_relative_squared_error
0.347805
root_relative_squared_error
0.400908
root_relative_squared_error
0.438113
root_relative_squared_error
0.429916
root_relative_squared_error
0.488875
root_relative_squared_error
0.413519
root_relative_squared_error
0.504912
root_relative_squared_error
0.446832
root_relative_squared_error
0.578368
root_relative_squared_error
0.551638
root_relative_squared_error
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root_relative_squared_error
0.515096
root_relative_squared_error
0.582128
root_relative_squared_error
0.46087
root_relative_squared_error
0.426081
root_relative_squared_error
0.439604
root_relative_squared_error
0.566971
root_relative_squared_error
0.433679
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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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
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total_cost
0
total_cost
0
total_cost
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total_cost
0
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