368919
2
Joaquin Vanschoren
4218
Supervised Classification
predictive_accuracy
1168
weka.BayesNet_K2(6)
1921
weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
D
true
1168
Q
weka.classifiers.bayes.net.search.local.K2
1168
P
1
1169
S
BAYES
1169
weka
weka_3.7.12
378
ipums_la_99-small
https://www.openml.org/data/download/52418/ipums_la_99-small.arff
-1
1279519
description
https://api.openml.org/data/download/1279519/weka_generated_run7474567876856494213.xml
-1
1279522
model_readable
https://api.openml.org/data/download/1279522/WekaModel_weka.classifiers.bayes.BayesNet4513467906611113987.model
-1
1279521
model_serialized
https://api.openml.org/data/download/1279521/WekaSerialized_weka.classifiers.bayes.BayesNet8680169910667060972.model
-1
1279520
predictions
https://api.openml.org/data/download/1279520/weka_generated_predictions2859915473890974193.arff
area_under_roc_curve
0.955209 [0.994452,0.890871,0.87383,0.852055,0.877651,0.89704,0.914507]
average_cost
0
f_measure
0.72213 [0.911848,0.427302,0.427289,0.211034,0.363103,0.21222,0.309696]
kappa
0.498123
kb_relative_information_score
39807.821003
mean_absolute_error
0.089373
mean_prior_absolute_error
0.155821
number_of_instances
88440 [58030,7100,9010,4030,5600,2700,1970]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.76647 [0.996486,0.363618,0.386362,0.246276,0.333682,0.235747,0.2031]
predictive_accuracy
0.695782
prior_entropy
1.759357
recall
0.695782 [0.840462,0.518028,0.477913,0.184615,0.398214,0.192963,0.651777]
relative_absolute_error
0.573562
root_mean_prior_squared_error
0.279062
root_mean_squared_error
0.263131
root_relative_squared_error
0.942914
scimark_benchmark
908.223072 [520.8243212662653, 914.9834078183218, 467.4540078787634, 894.6893994105935, 1743.1642237068993]
total_cost
0
usercpu_time_millis
270
usercpu_time_millis_testing
220
usercpu_time_millis_training
50
area_under_roc_curve
0.953853 [0.994149,0.908537,0.863955,0.855991,0.852049,0.852456,0.966358]
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0.950475 [0.992679,0.88581,0.864892,0.84272,0.849313,0.895191,0.916191]
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
0.95731 [0.996218,0.898545,0.882642,0.85466,0.878166,0.873608,0.911561]
area_under_roc_curve
0.954729 [0.993755,0.896866,0.863061,0.891538,0.859922,0.888932,0.919595]
area_under_roc_curve
0.956402 [0.993427,0.907819,0.860678,0.881243,0.88563,0.877083,0.939624]
area_under_roc_curve
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area_under_roc_curve
0.957587 [0.994851,0.910319,0.871167,0.882485,0.859911,0.907256,0.92555]
area_under_roc_curve
0.951268 [0.989809,0.876068,0.867834,0.876994,0.867935,0.892493,0.938343]
area_under_roc_curve
0.957521 [0.995258,0.908883,0.875968,0.829384,0.899233,0.894824,0.908989]
area_under_roc_curve
0.947568 [0.995689,0.865825,0.868477,0.824497,0.831477,0.877234,0.861908]
area_under_roc_curve
0.954311 [0.996668,0.881363,0.852802,0.846435,0.893288,0.916127,0.877746]
area_under_roc_curve
0.956276 [0.995632,0.895422,0.867659,0.832648,0.886406,0.915307,0.926012]
area_under_roc_curve
0.959537 [0.994168,0.907646,0.881314,0.860592,0.898372,0.879284,0.967225]
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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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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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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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
0.719274 [0.904135,0.460606,0.429268,0.138889,0.380952,0.245614,0.329114]
f_measure
0.708941 [0.901701,0.397727,0.372549,0.297297,0.302521,0.255319,0.311111]
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kb_relative_information_score
387.740014
kb_relative_information_score
373.232009
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
387.573778
kb_relative_information_score
373.539779
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
405.261694
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
381.709364
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
380.02008
kb_relative_information_score
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kb_relative_information_score
399.042305
kb_relative_information_score
390.879353
kb_relative_information_score
376.537049
kb_relative_information_score
371.406536
kb_relative_information_score
394.435304
kb_relative_information_score
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kb_relative_information_score
435.499552
kb_relative_information_score
398.167741
kb_relative_information_score
423.847934
kb_relative_information_score
423.507586
kb_relative_information_score
394.386139
kb_relative_information_score
361.11577
kb_relative_information_score
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kb_relative_information_score
363.735373
kb_relative_information_score
379.902219
kb_relative_information_score
405.078946
kb_relative_information_score
431.935879
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
387.96554
kb_relative_information_score
390.548265
kb_relative_information_score
375.400745
kb_relative_information_score
391.372725
kb_relative_information_score
409.33968
kb_relative_information_score
402.589896
kb_relative_information_score
404.498476
kb_relative_information_score
402.687326
kb_relative_information_score
387.415052
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
444.342272
kb_relative_information_score
358.88595
kb_relative_information_score
407.233127
kb_relative_information_score
393.990743
kb_relative_information_score
401.988277
kb_relative_information_score
379.990575
kb_relative_information_score
397.097956
kb_relative_information_score
405.343182
kb_relative_information_score
372.36077
kb_relative_information_score
428.415628
kb_relative_information_score
366.977591
kb_relative_information_score
385.285071
kb_relative_information_score
412.245318
kb_relative_information_score
434.045939
kb_relative_information_score
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kb_relative_information_score
408.942851
kb_relative_information_score
378.267623
kb_relative_information_score
413.896111
kb_relative_information_score
389.849952
kb_relative_information_score
404.863671
kb_relative_information_score
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kb_relative_information_score
401.235215
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
387.428713
kb_relative_information_score
354.875969
kb_relative_information_score
397.302638
kb_relative_information_score
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
0.090781
mean_absolute_error
0.087638
mean_absolute_error
0.095478
mean_absolute_error
0.086067
mean_absolute_error
0.085966
mean_absolute_error
0.08922
mean_absolute_error
0.091511
mean_absolute_error
0.092369
mean_absolute_error
0.093759
mean_absolute_error
0.089975
mean_absolute_error
0.087969
mean_absolute_error
0.08773
mean_absolute_error
0.083932
mean_absolute_error
0.087382
mean_absolute_error
0.082336
mean_absolute_error
0.087468
mean_absolute_error
0.090457
mean_absolute_error
0.090907
mean_absolute_error
0.090378
mean_absolute_error
0.090942
mean_absolute_error
0.087596
mean_absolute_error
0.085573
mean_absolute_error
0.082037
mean_absolute_error
0.08639
mean_absolute_error
0.089145
mean_absolute_error
0.089876
mean_absolute_error
0.08754
mean_absolute_error
0.090779
mean_absolute_error
0.091156
mean_absolute_error
0.089843
mean_absolute_error
0.092135
mean_absolute_error
0.09546
mean_absolute_error
0.091182
mean_absolute_error
0.090593
mean_absolute_error
0.093571
mean_absolute_error
0.093873
mean_absolute_error
0.091233
mean_absolute_error
0.088383
mean_absolute_error
0.083869
mean_absolute_error
0.08834
mean_absolute_error
0.085921
mean_absolute_error
0.085187
mean_absolute_error
0.089263
mean_absolute_error
0.096026
mean_absolute_error
0.087644
mean_absolute_error
0.094854
mean_absolute_error
0.093724
mean_absolute_error
0.090666
mean_absolute_error
0.082877
mean_absolute_error
0.085946
mean_absolute_error
0.093619
mean_absolute_error
0.08943
mean_absolute_error
0.090155
mean_absolute_error
0.092142
mean_absolute_error
0.089994
mean_absolute_error
0.085235
mean_absolute_error
0.088413
mean_absolute_error
0.087785
mean_absolute_error
0.087901
mean_absolute_error
0.086988
mean_absolute_error
0.091586
mean_absolute_error
0.089896
mean_absolute_error
0.094992
mean_absolute_error
0.08027
mean_absolute_error
0.095405
mean_absolute_error
0.087497
mean_absolute_error
0.089513
mean_absolute_error
0.087217
mean_absolute_error
0.091738
mean_absolute_error
0.09118
mean_absolute_error
0.087669
mean_absolute_error
0.092813
mean_absolute_error
0.083575
mean_absolute_error
0.094622
mean_absolute_error
0.090535
mean_absolute_error
0.087464
mean_absolute_error
0.083585
mean_absolute_error
0.085975
mean_absolute_error
0.087561
mean_absolute_error
0.092115
mean_absolute_error
0.084794
mean_absolute_error
0.088321
mean_absolute_error
0.086003
mean_absolute_error
0.091311
mean_absolute_error
0.08798
mean_absolute_error
0.08985
mean_absolute_error
0.085436
mean_absolute_error
0.090874
mean_absolute_error
0.092048
mean_absolute_error
0.087737
mean_absolute_error
0.088269
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0.772563 [1,0.4,0.366667,0.217391,0.369863,0.291667,0.213115]
precision
0.781434 [0.997967,0.375,0.419048,0.257143,0.424242,0.3,0.274194]
precision
0.769856 [0.995984,0.376238,0.420561,0.3,0.327586,0.129032,0.22449]
precision
0.767854 [0.997955,0.378641,0.383178,0.2,0.291139,0.315789,0.288462]
precision
0.763003 [1,0.324074,0.342593,0.4,0.328358,0.095238,0.184615]
precision
0.781278 [1,0.465909,0.440367,0.290323,0.328571,0.136364,0.212121]
precision
0.762684 [0.997992,0.377778,0.373913,0.21875,0.267606,0.277778,0.183333]
precision
0.765635 [0.99802,0.307692,0.433962,0.107143,0.338983,0.347826,0.220339]
precision
0.77309 [1,0.375,0.429825,0.193548,0.388889,0.16,0.213115]
precision
0.770683 [0.997967,0.336449,0.37069,0.285714,0.396552,0.294118,0.181818]
precision
0.767242 [0.99793,0.357143,0.37963,0.25,0.37931,0.181818,0.188406]
precision
0.780505 [0.99006,0.382353,0.455446,0.30303,0.394366,0.352941,0.192982]
precision
0.762195 [0.991919,0.315789,0.407767,0.2,0.33871,0.310345,0.2]
precision
0.76694 [1,0.313559,0.396226,0.16,0.424658,0.222222,0.193548]
precision
0.773278 [0.995868,0.32,0.396694,0.258065,0.410714,0.380952,0.197183]
precision
0.77239 [0.995943,0.36036,0.372549,0.444444,0.338462,0.178571,0.223881]
precision
0.768136 [0.99384,0.377778,0.424528,0.235294,0.3,0.272727,0.2]
precision
0.748307 [0.993711,0.386792,0.330508,0.181818,0.263889,0.105263,0.152542]
precision
0.764365 [0.993802,0.404255,0.382609,0.15625,0.342857,0.233333,0.220339]
precision
0.761872 [0.997908,0.333333,0.333333,0.323529,0.285714,0.3,0.2]
predictive_accuracy
0.691525
predictive_accuracy
0.682486
predictive_accuracy
0.694915
predictive_accuracy
0.692655
predictive_accuracy
0.691525
predictive_accuracy
0.690395
predictive_accuracy
0.706215
predictive_accuracy
0.665537
predictive_accuracy
0.711864
predictive_accuracy
0.707345
predictive_accuracy
0.703955
predictive_accuracy
0.674576
predictive_accuracy
0.693785
predictive_accuracy
0.680226
predictive_accuracy
0.697175
predictive_accuracy
0.699435
predictive_accuracy
0.694915
predictive_accuracy
0.719774
predictive_accuracy
0.703955
predictive_accuracy
0.720904
predictive_accuracy
0.705085
predictive_accuracy
0.689266
predictive_accuracy
0.697175
predictive_accuracy
0.690395
predictive_accuracy
0.697175
predictive_accuracy
0.700565
predictive_accuracy
0.709605
predictive_accuracy
0.716384
predictive_accuracy
0.708475
predictive_accuracy
0.693785
predictive_accuracy
0.697175
predictive_accuracy
0.706215
predictive_accuracy
0.685876
predictive_accuracy
0.690395
predictive_accuracy
0.697175
predictive_accuracy
0.680226
predictive_accuracy
0.682486
predictive_accuracy
0.685876
predictive_accuracy
0.688136
predictive_accuracy
0.682486
predictive_accuracy
0.680995
predictive_accuracy
0.695701
predictive_accuracy
0.686652
predictive_accuracy
0.713801
predictive_accuracy
0.704751
predictive_accuracy
0.716063
predictive_accuracy
0.710407
predictive_accuracy
0.701357
predictive_accuracy
0.66629
predictive_accuracy
0.70362
predictive_accuracy
0.669683
predictive_accuracy
0.671946
predictive_accuracy
0.68552
predictive_accuracy
0.71267
predictive_accuracy
0.713801
predictive_accuracy
0.68552
predictive_accuracy
0.690045
predictive_accuracy
0.691176
predictive_accuracy
0.688914
predictive_accuracy
0.696833
predictive_accuracy
0.71267
predictive_accuracy
0.696833
predictive_accuracy
0.699095
predictive_accuracy
0.699095
predictive_accuracy
0.699095
predictive_accuracy
0.684389
predictive_accuracy
0.69457
predictive_accuracy
0.671946
predictive_accuracy
0.739819
predictive_accuracy
0.678733
predictive_accuracy
0.709276
predictive_accuracy
0.684389
predictive_accuracy
0.707014
predictive_accuracy
0.690045
predictive_accuracy
0.693439
predictive_accuracy
0.705882
predictive_accuracy
0.68552
predictive_accuracy
0.716063
predictive_accuracy
0.673077
predictive_accuracy
0.684389
predictive_accuracy
0.700226
predictive_accuracy
0.717195
predictive_accuracy
0.707014
predictive_accuracy
0.700226
predictive_accuracy
0.684389
predictive_accuracy
0.719457
predictive_accuracy
0.696833
predictive_accuracy
0.708145
predictive_accuracy
0.691176
predictive_accuracy
0.699095
predictive_accuracy
0.690045
predictive_accuracy
0.721719
predictive_accuracy
0.693439
predictive_accuracy
0.684389
predictive_accuracy
0.695701
predictive_accuracy
0.700226
predictive_accuracy
0.693439
predictive_accuracy
0.667421
predictive_accuracy
0.692308
predictive_accuracy
0.677602
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
recall
0.691525 [0.841652,0.535211,0.433333,0.175,0.375,0.148148,0.7]
recall
0.682486 [0.843373,0.507042,0.388889,0.121951,0.392857,0.148148,0.631579]
recall
0.694915 [0.843373,0.492958,0.488889,0.15,0.375,0.148148,0.75]
recall
0.692655 [0.836207,0.422535,0.538462,0.2,0.357143,0.185185,0.8]
recall
0.691525 [0.836489,0.56338,0.344444,0.2,0.392857,0.37037,0.75]
recall
0.690395 [0.851979,0.535211,0.411111,0.1,0.428571,0.111111,0.5]
recall
0.706215 [0.839931,0.591549,0.511111,0.2,0.392857,0.259259,0.6]
recall
0.665537 [0.805508,0.478873,0.455556,0.2,0.357143,0.185185,0.65]
recall
0.711864 [0.853701,0.591549,0.488889,0.275,0.375,0.185185,0.55]
recall
0.707345 [0.857143,0.591549,0.5,0.125,0.339286,0.185185,0.6]
recall
0.703955 [0.841652,0.591549,0.466667,0.243902,0.392857,0.185185,0.684211]
recall
0.674576 [0.843373,0.422535,0.444444,0.097561,0.285714,0.111111,0.736842]
recall
0.693785 [0.839931,0.549296,0.488889,0.097561,0.446429,0.148148,0.526316]
recall
0.680226 [0.826162,0.464789,0.488889,0.175,0.375,0.259259,0.5]
recall
0.697175 [0.833046,0.492958,0.5,0.175,0.5,0.185185,0.65]
recall
0.699435 [0.834768,0.450704,0.511111,0.225,0.410714,0.407407,0.65]
recall
0.694915 [0.817556,0.577465,0.511111,0.225,0.464286,0.111111,0.75]
recall
0.719774 [0.869191,0.492958,0.511111,0.175,0.357143,0.259259,0.85]
recall
0.703955 [0.848537,0.464789,0.5,0.175,0.446429,0.148148,0.8]
recall
0.720904 [0.860585,0.591549,0.522222,0.15,0.428571,0.148148,0.75]
recall
0.705085 [0.855422,0.521127,0.477778,0.219512,0.339286,0.222222,0.684211]
recall
0.689266 [0.827883,0.605634,0.433333,0.219512,0.321429,0.296296,0.631579]
recall
0.697175 [0.831325,0.478873,0.5,0.317073,0.410714,0.222222,0.684211]
recall
0.690395 [0.836489,0.492958,0.5,0.125,0.410714,0.148148,0.65]
recall
0.697175 [0.850258,0.464789,0.5,0.2,0.375,0.074074,0.7]
recall
0.700565 [0.831325,0.619718,0.522222,0.125,0.375,0.222222,0.7]
recall
0.709605 [0.86747,0.507042,0.488889,0.15,0.464286,0.185185,0.35]
recall
0.716384 [0.86747,0.591549,0.411111,0.175,0.410714,0.259259,0.7]
recall
0.708475 [0.855422,0.549296,0.444444,0.175,0.410714,0.259259,0.7]
recall
0.693785 [0.836489,0.450704,0.488889,0.225,0.357143,0.296296,0.75]
recall
0.697175 [0.831034,0.43662,0.527473,0.121951,0.482143,0.37037,0.736842]
recall
0.706215 [0.848276,0.43662,0.582418,0.2,0.392857,0.259259,0.6]
recall
0.685876 [0.837931,0.549296,0.461538,0.195122,0.339286,0.111111,0.526316]
recall
0.690395 [0.839931,0.492958,0.488889,0.175,0.375,0.185185,0.55]
recall
0.697175 [0.832759,0.521127,0.527473,0.2,0.375,0.296296,0.6]
recall
0.680226 [0.836207,0.464789,0.417582,0.3,0.375,0.074074,0.55]
recall
0.682486 [0.815517,0.521127,0.538462,0.170732,0.339286,0.222222,0.684211]
recall
0.685876 [0.818966,0.577465,0.422222,0.292683,0.428571,0.185185,0.6]
recall
0.688136 [0.853448,0.492958,0.406593,0.15,0.375,0.148148,0.55]
recall
0.682486 [0.841379,0.464789,0.406593,0.1,0.464286,0.111111,0.65]
recall
0.680995 [0.831034,0.507042,0.455556,0.2,0.339286,0.185185,0.55]
recall
0.695701 [0.827586,0.492958,0.566667,0.175,0.446429,0.222222,0.55]
recall
0.686652 [0.844828,0.366197,0.466667,0.2,0.375,0.185185,0.75]
recall
0.713801 [0.868966,0.619718,0.411111,0.170732,0.339286,0.222222,0.736842]
recall
0.704751 [0.85,0.647887,0.466667,0.097561,0.410714,0.074074,0.684211]
recall
0.716063 [0.853448,0.492958,0.544444,0.219512,0.375,0.407407,0.684211]
recall
0.710407 [0.848276,0.591549,0.511111,0.219512,0.357143,0.333333,0.526316]
recall
0.701357 [0.843103,0.492958,0.522222,0.146341,0.464286,0.074074,0.789474]
recall
0.66629 [0.817241,0.408451,0.466667,0.243902,0.285714,0.222222,0.631579]
recall
0.70362 [0.839655,0.507042,0.488889,0.243902,0.464286,0.222222,0.684211]
recall
0.669683 [0.825862,0.507042,0.433333,0.075,0.375,0.148148,0.5]
recall
0.671946 [0.817241,0.549296,0.422222,0.1,0.392857,0.111111,0.7]
recall
0.68552 [0.812069,0.450704,0.444444,0.225,0.535714,0.259259,0.85]
recall
0.71267 [0.856897,0.591549,0.455556,0.170732,0.428571,0.185185,0.736842]
recall
0.713801 [0.839655,0.605634,0.555556,0.195122,0.410714,0.259259,0.684211]
recall
0.68552 [0.832759,0.450704,0.511111,0.146341,0.357143,0.185185,0.736842]
recall
0.690045 [0.853448,0.450704,0.444444,0.146341,0.285714,0.222222,0.789474]
recall
0.691176 [0.837931,0.478873,0.511111,0.219512,0.375,0.185185,0.526316]
recall
0.688914 [0.839655,0.43662,0.522222,0.170732,0.410714,0.111111,0.578947]
recall
0.696833 [0.843103,0.464789,0.533333,0.219512,0.392857,0.148148,0.578947]
recall
0.71267 [0.867241,0.450704,0.477778,0.15,0.482143,0.111111,0.8]
recall
0.696833 [0.85,0.450704,0.5,0.2,0.446429,0.074074,0.55]
recall
0.699095 [0.846552,0.577465,0.488889,0.075,0.410714,0.148148,0.6]
recall
0.699095 [0.848276,0.507042,0.477778,0.341463,0.357143,0.111111,0.526316]
recall
0.699095 [0.872414,0.43662,0.422222,0.170732,0.357143,0.111111,0.684211]
recall
0.684389 [0.806897,0.56338,0.522222,0.146341,0.464286,0.185185,0.684211]
recall
0.69457 [0.824138,0.577465,0.5,0.2,0.428571,0.148148,0.7]
recall
0.671946 [0.813793,0.521127,0.417582,0.225,0.428571,0.222222,0.421053]
recall
0.739819 [0.877586,0.619718,0.544444,0.195122,0.410714,0.333333,0.631579]
recall
0.678733 [0.822414,0.535211,0.444444,0.146341,0.446429,0.111111,0.578947]
recall
0.709276 [0.85,0.507042,0.555556,0.225,0.357143,0.185185,0.7]
recall
0.684389 [0.836207,0.577465,0.466667,0.1,0.267857,0.111111,0.75]
recall
0.707014 [0.846552,0.619718,0.466667,0.225,0.464286,0.111111,0.5]
recall
0.690045 [0.82931,0.549296,0.5,0.2,0.375,0.111111,0.65]
recall
0.693439 [0.834483,0.492958,0.466667,0.25,0.392857,0.259259,0.65]
recall
0.705882 [0.858621,0.549296,0.422222,0.2,0.428571,0.148148,0.65]
recall
0.68552 [0.839655,0.478873,0.411111,0.2,0.410714,0.111111,0.7]
recall
0.716063 [0.865517,0.464789,0.511111,0.175,0.410714,0.259259,0.75]
recall
0.673077 [0.82069,0.535211,0.388889,0.2,0.357143,0.148148,0.7]
recall
0.684389 [0.82931,0.577465,0.433333,0.1,0.357143,0.259259,0.65]
recall
0.700226 [0.832759,0.56338,0.488889,0.125,0.482143,0.259259,0.65]
recall
0.717195 [0.846552,0.549296,0.488889,0.225,0.5,0.222222,0.85]
recall
0.707014 [0.855172,0.535211,0.5,0.3,0.339286,0.148148,0.55]
recall
0.700226 [0.841379,0.549296,0.455556,0.175,0.410714,0.222222,0.75]
recall
0.684389 [0.836207,0.492958,0.411111,0.3,0.392857,0.074074,0.6]
recall
0.719457 [0.858621,0.577465,0.533333,0.225,0.410714,0.111111,0.7]
recall
0.696833 [0.856897,0.478873,0.477778,0.175,0.339286,0.185185,0.55]
recall
0.708145 [0.868966,0.450704,0.511111,0.075,0.357143,0.296296,0.65]
recall
0.691176 [0.808621,0.591549,0.544444,0.15,0.5,0.148148,0.65]
recall
0.699095 [0.846552,0.507042,0.477778,0.2,0.410714,0.185185,0.6]
recall
0.690045 [0.831034,0.56338,0.455556,0.2,0.392857,0.148148,0.65]
recall
0.721719 [0.858621,0.549296,0.511111,0.25,0.5,0.222222,0.55]
recall
0.693439 [0.846552,0.422535,0.466667,0.175,0.375,0.333333,0.65]
recall
0.684389 [0.815517,0.521127,0.466667,0.1,0.553571,0.222222,0.6]
recall
0.695701 [0.831034,0.450704,0.533333,0.2,0.410714,0.296296,0.7]
recall
0.700226 [0.846552,0.56338,0.422222,0.2,0.392857,0.185185,0.75]
recall
0.693439 [0.834483,0.478873,0.5,0.2,0.375,0.222222,0.75]
recall
0.667421 [0.817241,0.577465,0.433333,0.15,0.339286,0.074074,0.45]
recall
0.692308 [0.82931,0.535211,0.488889,0.125,0.428571,0.259259,0.65]
recall
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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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0.563023
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relative_absolute_error
0.622037
relative_absolute_error
0.580914
relative_absolute_error
0.594205
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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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0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
root_mean_prior_squared_error
0.27908
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
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.266467
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_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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0.948737
root_relative_squared_error
0.930243
root_relative_squared_error
0.934922
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
100
usercpu_time_millis
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usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
100
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
100
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
60
usercpu_time_millis
80
usercpu_time_millis
60
usercpu_time_millis
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usercpu_time_millis
70
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
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