356031
2
Joaquin Vanschoren
1882
Supervised Classification
predictive_accuracy
1079
weka.RandomForest(5)
1849
weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1
I
100
1079
K
0
1079
S
1
1079
num-slots
1
1079
weka
weka_3.7.12
2
anneal
https://www.openml.org/data/download/1666876/phpFsFYVN
-1
1228919
description
https://api.openml.org/data/download/1228919/weka_generated_run7087943691668804409.xml
-1
1228922
model_readable
https://api.openml.org/data/download/1228922/WekaModel_weka.classifiers.trees.RandomForest5261614501911887911.model
-1
1228921
model_serialized
https://api.openml.org/data/download/1228921/WekaSerialized_weka.classifiers.trees.RandomForest2168905638943407885.model
-1
1228920
predictions
https://api.openml.org/data/download/1228920/weka_generated_predictions2625076035734047166.arff
area_under_roc_curve
0.989973 [0.935073,0.992821,0.988879,0.0,0.998664,0.998065]
average_cost
0
f_measure
0.951214 [0.933333,0.858596,0.968156,0,0.907865,0.966921]
kappa
0.877324
kb_relative_information_score
7030.01387
mean_absolute_error
0.038757
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
0.951219 [1,0.864754,0.965131,0,0.911278,0.984456]
predictive_accuracy
0.951336
prior_entropy
1.214875
recall
0.951336 [0.875,0.852525,0.971199,0,0.904478,0.95]
relative_absolute_error
0.28857
root_mean_prior_squared_error
0.258218
root_mean_squared_error
0.114227
root_relative_squared_error
0.442366
scimark_benchmark
1316.56679 [789.9640777605844, 987.4224701806577, 520.4759296470442, 1063.8961096609355, 3221.075364855067]
total_cost
0
usercpu_time_millis
1310
usercpu_time_millis_testing
280
usercpu_time_millis_training
1030
area_under_roc_curve
0.99561 [1,0.993141,0.995169,0.0,1,1]
area_under_roc_curve
0.996551 [1,0.997257,0.995859,0.0,1,1]
area_under_roc_curve
0.992037 [1,0.995,0.990338,0.0,1,1]
area_under_roc_curve
0.992679 [1,0.99125,0.991718,0.0,1,1]
area_under_roc_curve
0.99418 [1,1,0.992409,0.0,1,1]
area_under_roc_curve
0.999339 [1,1,0.99931,0.0,0.998016,1]
area_under_roc_curve
0.985238 [1,0.98375,0.983437,0.0,1,0.994186]
area_under_roc_curve
0.990959 [1,0.99125,0.989648,0.0,0.998016,1]
area_under_roc_curve
0.995238 [1,1,0.993789,0.0,1,1]
area_under_roc_curve
1 [1,1,1,0.0,1,1]
area_under_roc_curve
0.978022 [1,0.99375,0.973085,0.0,0.998016,0.988372]
area_under_roc_curve
0.990323 [1,0.995,0.988636,0.0,0.993115,1]
area_under_roc_curve
0.994418 [1,0.995,0.993789,0.0,0.996032,1]
area_under_roc_curve
0.986478 [1,0.99375,0.984817,0.0,0.984127,0.997093]
area_under_roc_curve
0.974425 [1,0.96625,0.971705,0.0,0.998016,1]
area_under_roc_curve
0.995741 [1,0.995,0.995169,0.0,1,1]
area_under_roc_curve
0.997348 [1,1,0.997239,0.0,0.993115,1]
area_under_roc_curve
0.989001 [1,0.99625,0.986888,0.0,0.992063,1]
area_under_roc_curve
0.993384 [1,0.995,0.991979,0.0,1,1]
area_under_roc_curve
0.982857 [0.589888,0.99625,0.984127,0.0,1,1]
area_under_roc_curve
0.989504 [1,0.99125,0.988268,0.0,0.992063,1]
area_under_roc_curve
0.983356 [0.617978,0.9975,0.983957,0.0,1,1]
area_under_roc_curve
0.978625 [0.449438,0.99125,0.981366,0.0,1,1]
area_under_roc_curve
0.996409 [1,0.99625,0.995859,0.0,1,1]
area_under_roc_curve
0.998803 [1,0.99875,0.99862,0.0,1,1]
area_under_roc_curve
0.986038 [1,0.98625,0.984127,0.0,0.996032,1]
area_under_roc_curve
0.998856 [1,1,0.998663,0.0,0.998279,1]
area_under_roc_curve
0.994299 [1,0.9975,0.993099,0.0,0.998016,1]
area_under_roc_curve
0.973951 [0.606742,0.99125,0.972594,0.0,1,1]
area_under_roc_curve
0.995602 [1,0.99375,0.995169,0.0,1,1]
area_under_roc_curve
0.996019 [1,0.9975,0.995169,0.0,1,1]
area_under_roc_curve
0.993765 [1,0.9975,0.992647,0.0,0.994836,1]
area_under_roc_curve
0.986874 [1,0.99177,0.984127,0.0,0.998279,1]
area_under_roc_curve
0.997221 [1,1,0.996549,0.0,0.998279,1]
area_under_roc_curve
0.997475 [1,1,0.996658,0.0,1,1]
area_under_roc_curve
0.982764 [0.438202,0.995885,0.986197,0.0,1,1]
area_under_roc_curve
0.98022 [1,0.98375,0.977273,0.0,0.989673,1]
area_under_roc_curve
0.991221 [1,0.986283,0.990338,0.0,1,1]
area_under_roc_curve
0.99899 [1,1,0.998663,0.0,1,1]
area_under_roc_curve
0.997077 [1,0.9975,0.996549,0.0,1,1]
area_under_roc_curve
0.976521 [0.494382,0.995,0.977273,0.0,0.998279,1]
area_under_roc_curve
0.991313 [1,0.99,0.989973,0.0,1,1]
area_under_roc_curve
0.984295 [1,0.985,0.981952,0.0,0.994836,1]
area_under_roc_curve
0.996831 [1,0.99875,0.995989,0.0,1,1]
area_under_roc_curve
0.983206 [0.550562,0.995,0.985294,0.0,0.998279,1]
area_under_roc_curve
0.999495 [1,1,0.999332,0.0,1,1]
area_under_roc_curve
0.993333 [1,0.99,0.992647,0.0,1,1]
area_under_roc_curve
0.989848 [1,0.995,0.987299,0.0,1,1]
area_under_roc_curve
0.986301 [1,0.98125,0.984626,0.0,1,1]
area_under_roc_curve
0.989818 [1,0.995,0.987968,0.0,0.993115,1]
area_under_roc_curve
0.980631 [1,0.98625,0.977273,0.0,0.991394,1]
area_under_roc_curve
0.995038 [1,0.99625,0.993984,0.0,1,1]
area_under_roc_curve
0.997841 [1,0.99875,0.997326,0.0,1,1]
area_under_roc_curve
0.975997 [0.505618,0.9925,0.976604,0.0,1,1]
area_under_roc_curve
0.993908 [1,0.9975,0.992647,0.0,1,0.994186]
area_under_roc_curve
0.987273 [1,0.99,0.984626,0.0,1,1]
area_under_roc_curve
0.995131 [1,0.99375,0.994652,0.0,0.998279,1]
area_under_roc_curve
0.973699 [0.505618,0.99,0.97393,0.0,1,1]
area_under_roc_curve
0.98952 [1,0.9875,0.987968,0.0,1,1]
area_under_roc_curve
0.972912 [1,0.995,0.973262,0.0,1,0.857558]
area_under_roc_curve
0.995038 [1,0.99625,0.993984,0.0,1,1]
area_under_roc_curve
0.998346 [1,0.99875,0.997995,0.0,1,1]
area_under_roc_curve
0.989025 [1,0.98875,0.987299,0.0,1,0.997093]
area_under_roc_curve
0.995265 [1,0.99375,0.994652,0.0,1,1]
area_under_roc_curve
0.992055 [1,0.99,0.99131,0.0,0.996558,1]
area_under_roc_curve
0.973717 [1,0.97375,0.969251,0.0,0.998279,1]
area_under_roc_curve
0.980142 [0.775281,0.99375,0.977941,0.0,1,1]
area_under_roc_curve
0.995909 [1,0.995,0.995321,0.0,1,1]
area_under_roc_curve
0.996692 [1,0.9975,0.995989,0.0,1,1]
area_under_roc_curve
0.994394 [1,0.995,0.993316,0.0,1,1]
area_under_roc_curve
0.991957 [1,0.99125,0.990642,0.0,1,1]
area_under_roc_curve
0.99254 [1,0.99,0.991718,0.0,1,1]
area_under_roc_curve
0.991136 [1,0.9975,0.988636,0.0,1,1]
area_under_roc_curve
0.99325 [1,0.995,0.991979,0.0,0.998279,1]
area_under_roc_curve
0.999356 [1,0.99875,0.999332,0.0,1,1]
area_under_roc_curve
0.974982 [1,0.98625,0.969251,0.0,1,0.994186]
area_under_roc_curve
0.987505 [1,0.98875,0.985294,0.0,0.998279,1]
area_under_roc_curve
0.997841 [1,0.99875,0.997326,0.0,1,1]
area_under_roc_curve
0.982672 [1,0.975,0.981366,0.0,0.996032,1]
area_under_roc_curve
0.990864 [1,0.99625,0.988636,0.0,0.998279,1]
area_under_roc_curve
0.990449 [0.0,0.992405,0.988796,0.0,0.998258,1]
area_under_roc_curve
0.986503 [0.0,0.989873,0.984058,0.0,1,1]
area_under_roc_curve
0.998645 [0.0,0.997468,0.998599,0.0,1,1]
area_under_roc_curve
0.986556 [0.0,0.989873,0.983894,0.0,1,1]
area_under_roc_curve
0.981673 [0.0,0.979747,0.978992,0.0,1,1]
area_under_roc_curve
0.988986 [0.0,0.993671,0.986695,0.0,0.998258,1]
area_under_roc_curve
0.991566 [0.0,0.994937,0.989855,0.0,1,1]
area_under_roc_curve
0.993261 [0.0,0.992405,0.992297,0.0,1,1]
area_under_roc_curve
0.99803 [0.0,0.997468,0.997826,0.0,1,1]
area_under_roc_curve
0.985059 [0.0,0.986076,0.982493,0.0,1,1]
area_under_roc_curve
0.987166 [0.0,0.981013,0.985994,0.0,1,1]
area_under_roc_curve
0.987491 [0.0,0.993671,0.984783,0.0,1,1]
area_under_roc_curve
0.990994 [0.0,0.994937,0.989496,0.0,0.994774,1]
area_under_roc_curve
0.989909 [0.0,0.991139,0.988095,0.0,1,1]
area_under_roc_curve
0.970232 [0.0,0.975,0.965217,0.0,0.996516,1]
area_under_roc_curve
0.995293 [0.0,0.996203,0.994398,0.0,1,1]
area_under_roc_curve
0.998592 [0.0,0.997468,0.998551,0.0,1,1]
area_under_roc_curve
0.997826 [0.0,0.994937,0.997899,0.0,1,1]
area_under_roc_curve
0.989738 [0.0,0.989873,0.988406,0.0,0.997992,1]
area_under_roc_curve
0.992083 [0.0,0.996203,0.990196,0.0,1,1]
average_cost
0
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0
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0
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f_measure
0.955556 [1,0.777778,0.971014,0,1,1]
f_measure
0.966915 [1,0.888889,0.978102,0,0.933333,1]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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0.955556 [1,0.9,0.970588,0,0.857143,1]
f_measure
0.977778 [1,0.9,0.985294,0,1,1]
f_measure
0.91368 [1,0.761905,0.939394,0,0.933333,0.8]
f_measure
0.955922 [1,0.857143,0.970588,0,0.923077,1]
f_measure
0.977778 [1,0.9,0.985294,0,1,1]
f_measure
0.922366 [1,0.7,0.948905,0,0.923077,1]
f_measure
0.952822 [1,0.823529,0.971429,0,0.923077,1]
f_measure
0.943138 [0,0.842105,0.963504,0,0.857143,1]
f_measure
0.94322 [0,0.8,0.964029,0,1,0.857143]
f_measure
0.965983 [0,0.9,0.978102,0,0.923077,1]
f_measure
0.942955 [0,0.857143,0.963504,0,0.833333,1]
f_measure
0.945223 [0,0.818182,0.962963,0,0.923077,1]
f_measure
0.945604 [0,0.818182,0.962406,0,0.933333,1]
f_measure
0.978384 [0,0.909091,0.985294,0,1,1]
f_measure
0.956948 [0,0.869565,0.969697,0,0.933333,1]
f_measure
0.966601 [0,0.9,0.978102,0,0.923077,1]
f_measure
0.955427 [0,0.857143,0.970588,0,0.923077,1]
f_measure
0.933119 [0,0.761905,0.955882,0,1,0.857143]
f_measure
0.965611 [0,0.9,0.978417,0,1,0.857143]
f_measure
0.94271 [0,0.842105,0.963504,0,0.933333,0.857143]
f_measure
0.943593 [0,0.8,0.963504,0,0.923077,1]
f_measure
0.919979 [0,0.705882,0.94964,0,0.857143,1]
f_measure
0.966386 [0,0.909091,0.977778,0,1,0.857143]
f_measure
0.966972 [0,0.857143,0.978102,0,1,1]
f_measure
0.977528 [0,0.9,0.985294,0,1,1]
f_measure
0.934131 [0,0.818182,0.955882,0,0.833333,1]
f_measure
0.965528 [0,0.842105,0.978102,0,1,1]
kappa
0.887218
kappa
0.917025
kappa
0.943503
kappa
0.943503
kappa
0.831144
kappa
0.943503
kappa
0.781629
kappa
0.887147
kappa
0.91371
kappa
0.971264
kappa
0.830827
kappa
0.805915
kappa
0.836759
kappa
0.744136
kappa
0.798529
kappa
0.882507
kappa
0.887218
kappa
0.85025
kappa
0.891435
kappa
0.855862
kappa
0.891173
kappa
0.916744
kappa
0.823241
kappa
0.856
kappa
0.972265
kappa
0.806094
kappa
0.972274
kappa
0.861411
kappa
0.861111
kappa
0.916795
kappa
0.91015
kappa
0.895013
kappa
0.856138
kappa
0.943609
kappa
0.882583
kappa
0.843858
kappa
0.774365
kappa
0.816825
kappa
0.972325
kappa
0.971218
kappa
0.866032
kappa
0.887394
kappa
0.83671
kappa
0.919905
kappa
0.866032
kappa
0.972325
kappa
0.891239
kappa
0.86124
kappa
0.824047
kappa
0.819173
kappa
0.79021
kappa
0.861368
kappa
0.945669
kappa
0.847285
kappa
0.891041
kappa
0.887394
kappa
0.916974
kappa
0.805556
kappa
0.861751
kappa
0.764475
kappa
0.894921
kappa
0.913821
kappa
0.861368
kappa
0.887394
kappa
0.917051
kappa
0.781884
kappa
0.855954
kappa
0.945669
kappa
0.947461
kappa
0.87106
kappa
0.856368
kappa
0.913655
kappa
0.8373
kappa
0.891239
kappa
0.945619
kappa
0.797582
kappa
0.89114
kappa
0.945619
kappa
0.806094
kappa
0.882927
kappa
0.855237
kappa
0.848794
kappa
0.913058
kappa
0.854954
kappa
0.86037
kappa
0.865518
kappa
0.943058
kappa
0.894268
kappa
0.913058
kappa
0.886226
kappa
0.829175
kappa
0.909276
kappa
0.855096
kappa
0.855096
kappa
0.7891
kappa
0.916143
kappa
0.912944
kappa
0.943167
kappa
0.829175
kappa
0.913142
kb_relative_information_score
72.914586
kb_relative_information_score
71.324015
kb_relative_information_score
69.963392
kb_relative_information_score
71.651494
kb_relative_information_score
69.249681
kb_relative_information_score
72.401502
kb_relative_information_score
66.934628
kb_relative_information_score
72.262985
kb_relative_information_score
72.074138
kb_relative_information_score
77.729667
kb_relative_information_score
65.913792
kb_relative_information_score
72.162838
kb_relative_information_score
71.08788
kb_relative_information_score
66.031985
kb_relative_information_score
64.379574
kb_relative_information_score
72.702649
kb_relative_information_score
71.195689
kb_relative_information_score
67.686816
kb_relative_information_score
73.490005
kb_relative_information_score
65.812072
kb_relative_information_score
72.3054
kb_relative_information_score
71.391605
kb_relative_information_score
66.585185
kb_relative_information_score
69.943321
kb_relative_information_score
74.637187
kb_relative_information_score
66.108691
kb_relative_information_score
76.237761
kb_relative_information_score
68.414041
kb_relative_information_score
68.225619
kb_relative_information_score
71.084885
kb_relative_information_score
71.478405
kb_relative_information_score
70.559777
kb_relative_information_score
68.736861
kb_relative_information_score
72.521467
kb_relative_information_score
73.877766
kb_relative_information_score
68.23484
kb_relative_information_score
67.613028
kb_relative_information_score
68.502466
kb_relative_information_score
76.466954
kb_relative_information_score
71.260141
kb_relative_information_score
68.790497
kb_relative_information_score
71.849259
kb_relative_information_score
68.884256
kb_relative_information_score
77.518823
kb_relative_information_score
66.939704
kb_relative_information_score
77.978264
kb_relative_information_score
71.892681
kb_relative_information_score
69.214026
kb_relative_information_score
69.706089
kb_relative_information_score
71.790164
kb_relative_information_score
67.712139
kb_relative_information_score
75.604969
kb_relative_information_score
75.313228
kb_relative_information_score
66.583414
kb_relative_information_score
72.453418
kb_relative_information_score
72.428247
kb_relative_information_score
73.783346
kb_relative_information_score
66.613389
kb_relative_information_score
71.551467
kb_relative_information_score
66.982536
kb_relative_information_score
75.012209
kb_relative_information_score
76.073624
kb_relative_information_score
69.572514
kb_relative_information_score
74.352084
kb_relative_information_score
73.700036
kb_relative_information_score
64.520809
kb_relative_information_score
67.395842
kb_relative_information_score
75.472988
kb_relative_information_score
75.89551
kb_relative_information_score
71.654531
kb_relative_information_score
72.809973
kb_relative_information_score
71.429581
kb_relative_information_score
73.414084
kb_relative_information_score
71.681525
kb_relative_information_score
78.049301
kb_relative_information_score
65.459364
kb_relative_information_score
72.049876
kb_relative_information_score
77.067773
kb_relative_information_score
64.57751
kb_relative_information_score
72.258896
kb_relative_information_score
66.43936
kb_relative_information_score
63.299075
kb_relative_information_score
70.943512
kb_relative_information_score
66.7175
kb_relative_information_score
65.719438
kb_relative_information_score
67.976952
kb_relative_information_score
69.929859
kb_relative_information_score
69.564456
kb_relative_information_score
69.822639
kb_relative_information_score
66.65595
kb_relative_information_score
66.102147
kb_relative_information_score
65.006017
kb_relative_information_score
66.469569
kb_relative_information_score
66.681067
kb_relative_information_score
57.031565
kb_relative_information_score
70.748007
kb_relative_information_score
70.016582
kb_relative_information_score
69.841576
kb_relative_information_score
64.499422
kb_relative_information_score
69.356444
mean_absolute_error
0.034489
mean_absolute_error
0.0375
mean_absolute_error
0.0391
mean_absolute_error
0.037348
mean_absolute_error
0.038846
mean_absolute_error
0.034656
mean_absolute_error
0.042207
mean_absolute_error
0.036379
mean_absolute_error
0.035726
mean_absolute_error
0.026691
mean_absolute_error
0.044614
mean_absolute_error
0.040886
mean_absolute_error
0.036467
mean_absolute_error
0.044065
mean_absolute_error
0.045507
mean_absolute_error
0.034436
mean_absolute_error
0.039376
mean_absolute_error
0.042426
mean_absolute_error
0.035497
mean_absolute_error
0.041183
mean_absolute_error
0.033718
mean_absolute_error
0.035269
mean_absolute_error
0.039038
mean_absolute_error
0.038177
mean_absolute_error
0.031951
mean_absolute_error
0.045589
mean_absolute_error
0.033767
mean_absolute_error
0.040319
mean_absolute_error
0.039409
mean_absolute_error
0.036571
mean_absolute_error
0.03601
mean_absolute_error
0.043931
mean_absolute_error
0.042962
mean_absolute_error
0.036638
mean_absolute_error
0.038142
mean_absolute_error
0.038552
mean_absolute_error
0.047256
mean_absolute_error
0.042608
mean_absolute_error
0.033172
mean_absolute_error
0.037685
mean_absolute_error
0.041915
mean_absolute_error
0.040476
mean_absolute_error
0.046425
mean_absolute_error
0.029383
mean_absolute_error
0.043232
mean_absolute_error
0.031137
mean_absolute_error
0.041028
mean_absolute_error
0.044391
mean_absolute_error
0.041932
mean_absolute_error
0.039746
mean_absolute_error
0.046505
mean_absolute_error
0.033781
mean_absolute_error
0.035046
mean_absolute_error
0.044192
mean_absolute_error
0.039817
mean_absolute_error
0.038744
mean_absolute_error
0.037441
mean_absolute_error
0.043575
mean_absolute_error
0.041237
mean_absolute_error
0.043266
mean_absolute_error
0.035104
mean_absolute_error
0.034777
mean_absolute_error
0.045354
mean_absolute_error
0.035996
mean_absolute_error
0.03582
mean_absolute_error
0.05145
mean_absolute_error
0.040918
mean_absolute_error
0.03307
mean_absolute_error
0.034544
mean_absolute_error
0.042282
mean_absolute_error
0.040523
mean_absolute_error
0.035939
mean_absolute_error
0.036554
mean_absolute_error
0.041036
mean_absolute_error
0.029969
mean_absolute_error
0.05048
mean_absolute_error
0.040194
mean_absolute_error
0.031559
mean_absolute_error
0.047786
mean_absolute_error
0.039668
mean_absolute_error
0.041188
mean_absolute_error
0.039864
mean_absolute_error
0.034676
mean_absolute_error
0.040165
mean_absolute_error
0.041133
mean_absolute_error
0.0369
mean_absolute_error
0.029839
mean_absolute_error
0.035527
mean_absolute_error
0.028783
mean_absolute_error
0.039361
mean_absolute_error
0.040719
mean_absolute_error
0.037678
mean_absolute_error
0.041109
mean_absolute_error
0.040087
mean_absolute_error
0.052438
mean_absolute_error
0.033014
mean_absolute_error
0.029802
mean_absolute_error
0.035199
mean_absolute_error
0.039579
mean_absolute_error
0.03387
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
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
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
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]
number_of_instances
90 [1,10,69,0,6,4]
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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 [1,9,69,0,7,4]
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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]
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 [1,9,69,0,7,4]
number_of_instances
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 [1,10,68,0,7,4]
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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 [1,9,69,0,7,4]
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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]
number_of_instances
90 [1,9,69,0,7,4]
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90 [1,10,68,0,7,4]
number_of_instances
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]
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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]
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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]
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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 [1,10,69,0,6,4]
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
0.955556 [1,0.777778,0.971014,0,1,1]
precision
0.967892 [1,0.888889,0.985294,0,0.875,1]
precision
0.977778 [1,0.9,0.985507,0,1,1]
precision
0.977778 [1,0.9,0.985507,0,1,1]
precision
0.944444 [1,1,0.956522,0,0.666667,1]
precision
0.977778 [1,1,0.985507,0,0.833333,1]
precision
0.919319 [1,0.833333,0.918919,0,1,1]
precision
0.955908 [1,0.888889,0.971014,0,0.857143,1]
precision
0.968373 [1,1,0.971429,0,0.875,1]
precision
0.989048 [1,1,0.985714,0,1,1]
precision
0.937778 [1,1,0.956522,0,0.833333,0.6]
precision
0.920442 [1,0.818182,0.942029,0,0.8,1]
precision
0.937865 [1,0.818182,0.970149,0,0.714286,1]
precision
0.906222 [1,1,0.906667,0,0.666667,1]
precision
0.920388 [1,0.777778,0.942857,0,0.833333,1]
precision
0.95526 [1,0.888889,0.957746,0,1,1]
precision
0.955556 [1,1,0.971014,0,0.714286,1]
precision
0.944074 [1,1,0.944444,0,0.8,1]
precision
0.960494 [1,1,0.970588,0,0.777778,1]
precision
0.934162 [0,0.888889,0.957143,0,0.857143,1]
precision
0.958831 [1,0.818182,0.985075,0,0.857143,1]
precision
0.955878 [0,0.9,0.971014,0,1,1]
precision
0.923474 [0,0.8,0.943662,0,1,1]
precision
0.945273 [1,0.888889,0.957143,0,0.857143,1]
precision
0.989899 [1,0.909091,1,0,1,1]
precision
0.924907 [1,0.8,0.955882,0,0.714286,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.949673 [1,0.9,0.970588,0,0.75,1]
precision
0.935837 [0,0.818182,0.956522,0,1,1]
precision
0.968523 [1,0.818182,0.985294,0,1,1]
precision
0.968056 [1,1,0.958333,0,1,1]
precision
0.959007 [1,0.909091,0.984848,0,0.75,1]
precision
0.947143 [1,0.8,0.957143,0,1,1]
precision
0.977778 [1,1,0.985507,0,0.857143,1]
precision
0.958025 [1,1,0.944444,0,1,1]
precision
0.937087 [0,1,0.932432,0,1,1]
precision
0.90776 [1,0.888889,0.928571,0,0.666667,1]
precision
0.933203 [1,0.857143,0.931507,0,1,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.989048 [1,1,0.985714,0,1,1]
precision
0.936705 [0,0.833333,0.970149,0,0.857143,1]
precision
0.957897 [1,1,0.957143,0,0.875,1]
precision
0.933502 [1,0.818182,0.955882,0,0.833333,1]
precision
0.96789 [1,0.9,0.985075,0,0.875,1]
precision
0.936705 [0,0.833333,0.970149,0,0.857143,1]
precision
0.98905 [1,1,0.985507,0,1,1]
precision
0.955556 [1,0.8,0.970588,0,1,1]
precision
0.946948 [1,0.818182,0.956522,0,1,1]
precision
0.933642 [1,0.875,0.930556,0,1,1]
precision
0.931453 [1,0.692308,0.969231,0,0.857143,1]
precision
0.917508 [1,0.8,0.954545,0,0.666667,1]
precision
0.946948 [1,0.818182,0.956522,0,1,1]
precision
0.979167 [1,1,0.985294,0,0.875,1]
precision
0.935615 [0,0.714286,0.984375,0,0.875,1]
precision
0.957576 [1,0.818182,0.970588,0,1,1]
precision
0.957897 [1,1,0.957143,0,0.875,1]
precision
0.966989 [1,1,0.971014,0,0.857143,1]
precision
0.914786 [0,0.727273,0.942029,0,1,1]
precision
0.943539 [1,0.875,0.956522,0,0.875,1]
precision
0.916835 [1,0.818182,0.916667,0,1,1]
precision
0.960774 [1,0.75,0.984848,0,1,1]
precision
0.968075 [1,1,0.957746,0,1,1]
precision
0.944928 [1,0.8,0.956522,0,1,1]
precision
0.957897 [1,1,0.957143,0,0.875,1]
precision
0.968378 [1,1,0.971014,0,0.875,1]
precision
0.918519 [1,0.666667,0.941176,0,1,1]
precision
0.933977 [0,0.888889,0.943662,0,1,1]
precision
0.979167 [1,1,0.985294,0,0.875,1]
precision
0.981481 [1,0.833333,1,0,1,1]
precision
0.95089 [1,0.818182,0.984615,0,0.777778,1]
precision
0.943545 [1,0.875,0.943662,0,1,1]
precision
0.96575 [1,0.888889,0.971429,0,1,1]
precision
0.939506 [1,0.888889,0.955882,0,1,0.666667]
precision
0.955556 [1,0.9,0.970588,0,0.857143,1]
precision
0.977778 [1,0.9,0.985294,0,1,1]
precision
0.921549 [1,0.727273,0.96875,0,0.875,0.666667]
precision
0.957576 [1,0.818182,0.970588,0,1,1]
precision
0.977778 [1,0.9,0.985294,0,1,1]
precision
0.923319 [1,0.7,0.955882,0,0.857143,1]
precision
0.958025 [1,1,0.944444,0,1,1]
precision
0.94306 [0,0.888889,0.956522,0,0.857143,1]
precision
0.944302 [0,0.8,0.957143,0,1,1]
precision
0.966618 [0,0.9,0.971014,0,1,1]
precision
0.946352 [0,0.818182,0.956522,0,1,1]
precision
0.949103 [0,0.75,0.970149,0,1,1]
precision
0.950324 [0,0.75,0.984615,0,0.875,1]
precision
0.981273 [0,0.833333,1,0,1,1]
precision
0.964239 [0,0.769231,1,0,0.875,1]
precision
0.967732 [0,0.9,0.985294,0,0.857143,1]
precision
0.957099 [0,0.818182,0.970588,0,1,1]
precision
0.935649 [0,0.727273,0.955882,0,1,1]
precision
0.966613 [0,0.9,0.971429,0,1,1]
precision
0.944465 [0,0.888889,0.956522,0,0.875,1]
precision
0.944309 [0,0.8,0.956522,0,1,1]
precision
0.919181 [0,0.75,0.942857,0,0.857143,1]
precision
0.96987 [0,0.833333,0.985075,0,1,1]
precision
0.96817 [0,0.818182,0.985294,0,1,1]
precision
0.977528 [0,0.9,0.985294,0,1,1]
precision
0.937531 [0,0.75,0.970149,0,0.833333,1]
precision
0.965369 [0,0.888889,0.971014,0,1,1]
predictive_accuracy
0.955556
predictive_accuracy
0.966667
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.933333
predictive_accuracy
0.977778
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.966667
predictive_accuracy
0.988889
predictive_accuracy
0.933333
predictive_accuracy
0.922222
predictive_accuracy
0.933333
predictive_accuracy
0.911111
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.955556
predictive_accuracy
0.966667
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.988889
predictive_accuracy
0.922222
predictive_accuracy
0.988889
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.966667
predictive_accuracy
0.966667
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.977778
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.911111
predictive_accuracy
0.933333
predictive_accuracy
0.988889
predictive_accuracy
0.988889
predictive_accuracy
0.944444
predictive_accuracy
0.955556
predictive_accuracy
0.933333
predictive_accuracy
0.966667
predictive_accuracy
0.944444
predictive_accuracy
0.988889
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.922222
predictive_accuracy
0.911111
predictive_accuracy
0.944444
predictive_accuracy
0.977778
predictive_accuracy
0.933333
predictive_accuracy
0.955556
predictive_accuracy
0.955556
predictive_accuracy
0.966667
predictive_accuracy
0.922222
predictive_accuracy
0.944444
predictive_accuracy
0.911111
predictive_accuracy
0.955556
predictive_accuracy
0.966667
predictive_accuracy
0.944444
predictive_accuracy
0.955556
predictive_accuracy
0.966667
predictive_accuracy
0.911111
predictive_accuracy
0.944444
predictive_accuracy
0.977778
predictive_accuracy
0.977778
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.966667
predictive_accuracy
0.933333
predictive_accuracy
0.955556
predictive_accuracy
0.977778
predictive_accuracy
0.911111
predictive_accuracy
0.955556
predictive_accuracy
0.977778
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.94382
predictive_accuracy
0.94382
predictive_accuracy
0.966292
predictive_accuracy
0.94382
predictive_accuracy
0.94382
predictive_accuracy
0.94382
predictive_accuracy
0.977528
predictive_accuracy
0.955056
predictive_accuracy
0.966292
predictive_accuracy
0.955056
predictive_accuracy
0.932584
predictive_accuracy
0.966292
predictive_accuracy
0.94382
predictive_accuracy
0.94382
predictive_accuracy
0.921348
predictive_accuracy
0.966292
predictive_accuracy
0.966292
predictive_accuracy
0.977528
predictive_accuracy
0.932584
predictive_accuracy
0.966292
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
0.955556 [1,0.777778,0.971014,0,1,1]
recall
0.966667 [1,0.888889,0.971014,0,1,1]
recall
0.977778 [1,0.9,0.985507,0,1,1]
recall
0.977778 [1,0.9,0.985507,0,1,1]
recall
0.933333 [1,0.7,0.956522,0,1,1]
recall
0.977778 [1,1,0.985507,0,0.833333,1]
recall
0.922222 [1,0.5,0.985507,0,1,0.75]
recall
0.955556 [1,0.8,0.971014,0,1,1]
recall
0.966667 [1,0.888889,0.985507,0,1,0.75]
recall
0.988889 [1,0.888889,1,0,1,1]
recall
0.933333 [1,0.9,0.956522,0,0.833333,0.75]
recall
0.922222 [1,0.9,0.955882,0,0.571429,1]
recall
0.933333 [1,0.9,0.942029,0,0.833333,1]
recall
0.911111 [1,0.8,0.985507,0,0.333333,0.75]
recall
0.922222 [1,0.7,0.956522,0,0.833333,1]
recall
0.955556 [1,0.8,0.985507,0,0.833333,1]
recall
0.955556 [1,1,0.971014,0,0.714286,1]
recall
0.944444 [1,0.8,0.985507,0,0.666667,1]
recall
0.955556 [1,0.8,0.970588,0,1,1]
recall
0.944444 [0,0.8,0.971014,0,1,1]
recall
0.955556 [1,0.9,0.956522,0,1,1]
recall
0.966667 [0,0.9,0.985294,0,1,1]
recall
0.933333 [0,0.8,0.971014,0,0.833333,1]
recall
0.944444 [1,0.8,0.971014,0,1,0.75]
recall
0.988889 [1,1,0.985507,0,1,1]
recall
0.922222 [1,0.8,0.942029,0,0.833333,1]
recall
0.988889 [1,1,1,0,1,0.75]
recall
0.944444 [1,0.9,0.956522,0,1,0.75]
recall
0.944444 [0,0.9,0.970588,0,0.857143,1]
recall
0.966667 [1,0.9,0.971014,0,1,1]
recall
0.966667 [1,0.8,1,0,0.833333,1]
recall
0.955556 [1,1,0.955882,0,0.857143,1]
recall
0.944444 [1,0.888889,0.971014,0,0.714286,1]
recall
0.977778 [1,1,0.985507,0,0.857143,1]
recall
0.955556 [1,0.9,1,0,0.714286,0.75]
recall
0.944444 [0,0.666667,1,0,0.857143,1]
recall
0.911111 [1,0.8,0.955882,0,0.571429,1]
recall
0.933333 [1,0.666667,0.985507,0,0.714286,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.944444 [0,1,0.955882,0,0.857143,1]
recall
0.955556 [1,0.7,0.985294,0,1,1]
recall
0.933333 [1,0.9,0.955882,0,0.714286,1]
recall
0.966667 [1,0.9,0.970588,0,1,1]
recall
0.944444 [0,1,0.955882,0,0.857143,1]
recall
0.988889 [1,0.9,1,0,1,1]
recall
0.955556 [1,0.8,0.970588,0,1,1]
recall
0.944444 [1,0.9,0.970588,0,0.857143,0.75]
recall
0.933333 [1,0.7,0.985294,0,0.857143,0.75]
recall
0.922222 [1,0.9,0.926471,0,0.857143,1]
recall
0.911111 [1,0.8,0.926471,0,0.857143,1]
recall
0.944444 [1,0.9,0.970588,0,0.714286,1]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.933333 [0,1,0.926471,0,1,1]
recall
0.955556 [1,0.9,0.970588,0,1,0.75]
recall
0.955556 [1,0.7,0.985294,0,1,1]
recall
0.966667 [1,0.9,0.985294,0,0.857143,1]
recall
0.922222 [0,0.8,0.955882,0,0.857143,1]
recall
0.944444 [1,0.7,0.970588,0,1,1]
recall
0.911111 [1,0.9,0.970588,0,0.571429,0.5]
recall
0.955556 [1,0.9,0.955882,0,1,1]
recall
0.966667 [1,0.8,1,0,0.857143,1]
recall
0.944444 [1,0.8,0.970588,0,1,0.75]
recall
0.955556 [1,0.7,0.985294,0,1,1]
recall
0.966667 [1,0.8,0.985294,0,1,1]
recall
0.911111 [1,0.8,0.941176,0,0.857143,0.75]
recall
0.944444 [0,0.8,0.985294,0,0.857143,1]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.977778 [1,1,0.970588,0,1,1]
recall
0.944444 [1,0.9,0.941176,0,1,1]
recall
0.944444 [1,0.7,0.985294,0,0.857143,1]
recall
0.966667 [1,0.8,0.985507,0,1,1]
recall
0.933333 [1,0.8,0.955882,0,0.857143,1]
recall
0.955556 [1,0.9,0.970588,0,0.857143,1]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.911111 [1,0.8,0.911765,0,1,1]
recall
0.955556 [1,0.9,0.970588,0,0.857143,1]
recall
0.977778 [1,0.9,0.985294,0,1,1]
recall
0.922222 [1,0.7,0.942029,0,1,1]
recall
0.955556 [1,0.7,1,0,0.857143,1]
recall
0.94382 [0,0.8,0.970588,0,0.857143,1]
recall
0.94382 [0,0.8,0.971014,0,1,0.75]
recall
0.966292 [0,0.9,0.985294,0,0.857143,1]
recall
0.94382 [0,0.9,0.970588,0,0.714286,1]
recall
0.94382 [0,0.9,0.955882,0,0.857143,1]
recall
0.94382 [0,0.9,0.941176,0,1,1]
recall
0.977528 [0,1,0.971014,0,1,1]
recall
0.955056 [0,1,0.941176,0,1,1]
recall
0.966292 [0,0.9,0.971014,0,1,1]
recall
0.955056 [0,0.9,0.970588,0,0.857143,1]
recall
0.932584 [0,0.8,0.955882,0,1,0.75]
recall
0.966292 [0,0.9,0.985507,0,1,0.75]
recall
0.94382 [0,0.8,0.970588,0,1,0.75]
recall
0.94382 [0,0.8,0.970588,0,0.857143,1]
recall
0.921348 [0,0.666667,0.956522,0,0.857143,1]
recall
0.966292 [0,1,0.970588,0,1,0.75]
recall
0.966292 [0,0.9,0.971014,0,1,1]
recall
0.977528 [0,0.9,0.985294,0,1,1]
recall
0.932584 [0,0.9,0.942029,0,0.833333,1]
recall
0.966292 [0,0.8,0.985294,0,1,1]
relative_absolute_error
0.258651
relative_absolute_error
0.281229
relative_absolute_error
0.29352
relative_absolute_error
0.280371
relative_absolute_error
0.291615
relative_absolute_error
0.26016
relative_absolute_error
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relative_absolute_error
0.273096
relative_absolute_error
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relative_absolute_error
0.200172
relative_absolute_error
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relative_absolute_error
0.273753
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0.330789
relative_absolute_error
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0.258509
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0.2953
relative_absolute_error
0.318489
relative_absolute_error
0.261514
relative_absolute_error
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relative_absolute_error
0.253115
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0.259834
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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0.325564
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0.275829
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0.321021
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0.303801
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0.318745
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0.258614
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0.256207
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0.334128
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0.307808
relative_absolute_error
0.300149
relative_absolute_error
0.399891
relative_absolute_error
0.247195
relative_absolute_error
0.227498
relative_absolute_error
0.263555
relative_absolute_error
0.302132
relative_absolute_error
0.253604
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
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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
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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
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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
0.251735
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
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0.13139
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0.114075
root_mean_squared_error
0.112418
root_mean_squared_error
0.122154
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0.09665
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0.09013
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0.122626
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0.115293
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0.145282
root_mean_squared_error
0.097896
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root_mean_squared_error
0.097198
root_mean_squared_error
0.113474
root_mean_squared_error
0.108763
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0.408843
root_relative_squared_error
0.390437
root_relative_squared_error
0.419712
root_relative_squared_error
0.407854
root_relative_squared_error
0.459971
root_relative_squared_error
0.343283
root_relative_squared_error
0.507764
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0.413231
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0.398467
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0.301361
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0.53871
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0.45988
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0.429738
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0.525975
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0.550087
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0.418767
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0.406487
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0.481044
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0.35554
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0.52482
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0.350673
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0.379941
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0.503469
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0.350581
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0.475206
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0.333922
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0.498306
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0.452175
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0.522174
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0.384641
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0.370727
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