338393
2
Joaquin Vanschoren
4417
Supervised Classification
predictive_accuracy
1084
weka.J48graft(1)
1854
weka.classifiers.trees.J48graft -- -C 0.25 -M 2
C
0.25
1084
M
2
1084
weka
weka_3.7.12
847
wind
https://www.openml.org/data/download/53381/wind.arff
-1
1161158
description
https://api.openml.org/data/download/1161158/weka_generated_run7324215639696721424.xml
-1
1161161
model_readable
https://api.openml.org/data/download/1161161/WekaModel_weka.classifiers.trees.J48graft7631890597532040833.model
-1
1161160
model_serialized
https://api.openml.org/data/download/1161160/WekaSerialized_weka.classifiers.trees.J48graft2726950555047702618.model
-1
1161159
predictions
https://api.openml.org/data/download/1161159/weka_generated_predictions3149605939944456073.arff
area_under_roc_curve
0.849892 [0.849892,0.849892]
average_cost
0
f_measure
0.8368 [0.846731,0.825485]
kappa
0.672216
kb_relative_information_score
41028.170356
mean_absolute_error
0.19407
mean_prior_absolute_error
0.497881
number_of_instances
65740 [35010,30730]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.836803 [0.846961,0.82523]
predictive_accuracy
0.836796
prior_entropy
0.996942
recall
0.836796 [0.846501,0.82574]
relative_absolute_error
0.389792
root_mean_prior_squared_error
0.498939
root_mean_squared_error
0.376841
root_relative_squared_error
0.755284
scimark_benchmark
1339.857269 [807.5187827269012, 953.9380191873151, 529.7197090623405, 1112.193413169667, 3295.916422750447]
total_cost
0
usercpu_time_millis
320
usercpu_time_millis_testing
0
usercpu_time_millis_training
320
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area_under_roc_curve
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area_under_roc_curve
0.812303 [0.812303,0.812303]
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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f_measure
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kb_relative_information_score
426.301082
kb_relative_information_score
407.338496
kb_relative_information_score
415.342928
kb_relative_information_score
400.741974
kb_relative_information_score
411.058075
kb_relative_information_score
411.365621
kb_relative_information_score
394.901116
kb_relative_information_score
392.494858
kb_relative_information_score
402.456848
kb_relative_information_score
424.674753
kb_relative_information_score
428.213817
kb_relative_information_score
400.19016
kb_relative_information_score
397.29945
kb_relative_information_score
386.105481
kb_relative_information_score
428.178612
kb_relative_information_score
377.705551
kb_relative_information_score
379.265642
kb_relative_information_score
401.256149
kb_relative_information_score
412.829006
kb_relative_information_score
421.914543
kb_relative_information_score
408.894444
kb_relative_information_score
408.261612
kb_relative_information_score
423.697529
kb_relative_information_score
416.96491
kb_relative_information_score
429.396364
kb_relative_information_score
389.639538
kb_relative_information_score
393.173395
kb_relative_information_score
426.067575
kb_relative_information_score
380.69098
kb_relative_information_score
421.818556
kb_relative_information_score
406.198721
kb_relative_information_score
411.8718
kb_relative_information_score
423.273008
kb_relative_information_score
424.886104
kb_relative_information_score
398.708916
kb_relative_information_score
413.871063
kb_relative_information_score
426.115012
kb_relative_information_score
402.98364
kb_relative_information_score
401.451923
kb_relative_information_score
416.032221
kb_relative_information_score
426.847365
kb_relative_information_score
405.256637
kb_relative_information_score
373.057568
kb_relative_information_score
397.456735
kb_relative_information_score
401.548289
kb_relative_information_score
398.503821
kb_relative_information_score
422.006218
kb_relative_information_score
435.610046
kb_relative_information_score
395.089657
kb_relative_information_score
416.580612
kb_relative_information_score
389.932613
kb_relative_information_score
405.36119
kb_relative_information_score
422.897537
kb_relative_information_score
400.805301
kb_relative_information_score
416.586303
kb_relative_information_score
418.807329
kb_relative_information_score
424.091236
kb_relative_information_score
413.269849
kb_relative_information_score
403.033327
kb_relative_information_score
364.454073
kb_relative_information_score
417.960781
kb_relative_information_score
384.980887
kb_relative_information_score
379.102418
kb_relative_information_score
438.885659
kb_relative_information_score
398.576132
kb_relative_information_score
410.796888
kb_relative_information_score
400.581841
kb_relative_information_score
414.481726
kb_relative_information_score
419.892939
kb_relative_information_score
401.862018
kb_relative_information_score
400.084452
kb_relative_information_score
385.790453
mean_absolute_error
0.197941
mean_absolute_error
0.20886
mean_absolute_error
0.167426
mean_absolute_error
0.196559
mean_absolute_error
0.198051
mean_absolute_error
0.189817
mean_absolute_error
0.177485
mean_absolute_error
0.163561
mean_absolute_error
0.187156
mean_absolute_error
0.189215
mean_absolute_error
0.202399
mean_absolute_error
0.174684
mean_absolute_error
0.198246
mean_absolute_error
0.1907
mean_absolute_error
0.177192
mean_absolute_error
0.185963
mean_absolute_error
0.20796
mean_absolute_error
0.214356
mean_absolute_error
0.196627
mean_absolute_error
0.183535
mean_absolute_error
0.166514
mean_absolute_error
0.189734
mean_absolute_error
0.202202
mean_absolute_error
0.181166
mean_absolute_error
0.183791
mean_absolute_error
0.189197
mean_absolute_error
0.177968
mean_absolute_error
0.185855
mean_absolute_error
0.182507
mean_absolute_error
0.196978
mean_absolute_error
0.190286
mean_absolute_error
0.201728
mean_absolute_error
0.194116
mean_absolute_error
0.192904
mean_absolute_error
0.206245
mean_absolute_error
0.207564
mean_absolute_error
0.200218
mean_absolute_error
0.18252
mean_absolute_error
0.181845
mean_absolute_error
0.201281
mean_absolute_error
0.203184
mean_absolute_error
0.211402
mean_absolute_error
0.179135
mean_absolute_error
0.217961
mean_absolute_error
0.215364
mean_absolute_error
0.200608
mean_absolute_error
0.192601
mean_absolute_error
0.186585
mean_absolute_error
0.192873
mean_absolute_error
0.195656
mean_absolute_error
0.184181
mean_absolute_error
0.19104
mean_absolute_error
0.180959
mean_absolute_error
0.207003
mean_absolute_error
0.206855
mean_absolute_error
0.182099
mean_absolute_error
0.215863
mean_absolute_error
0.18468
mean_absolute_error
0.196706
mean_absolute_error
0.192406
mean_absolute_error
0.18286
mean_absolute_error
0.182054
mean_absolute_error
0.201963
mean_absolute_error
0.191436
mean_absolute_error
0.183237
mean_absolute_error
0.198226
mean_absolute_error
0.200215
mean_absolute_error
0.190654
mean_absolute_error
0.18287
mean_absolute_error
0.196087
mean_absolute_error
0.221318
mean_absolute_error
0.204493
mean_absolute_error
0.201897
mean_absolute_error
0.204177
mean_absolute_error
0.185318
mean_absolute_error
0.175634
mean_absolute_error
0.206309
mean_absolute_error
0.189784
mean_absolute_error
0.209979
mean_absolute_error
0.197907
mean_absolute_error
0.184
mean_absolute_error
0.201395
mean_absolute_error
0.189033
mean_absolute_error
0.187204
mean_absolute_error
0.184132
mean_absolute_error
0.191988
mean_absolute_error
0.198996
mean_absolute_error
0.227382
mean_absolute_error
0.189027
mean_absolute_error
0.211925
mean_absolute_error
0.217425
mean_absolute_error
0.174258
mean_absolute_error
0.201357
mean_absolute_error
0.194036
mean_absolute_error
0.200588
mean_absolute_error
0.189825
mean_absolute_error
0.186064
mean_absolute_error
0.199252
mean_absolute_error
0.200248
mean_absolute_error
0.213183
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
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0.49787
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0.49787
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0.49787
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0.49787
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0.49787
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0.49787
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mean_prior_absolute_error
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mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
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0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
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0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
number_of_instances
658 [351,307]
number_of_instances
658 [350,308]
number_of_instances
658 [351,307]
number_of_instances
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658 [350,308]
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number_of_instances
658 [350,308]
number_of_instances
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number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
precision
0.845061 [0.856734,0.831715]
precision
0.81954 [0.836735,0.8]
precision
0.858779 [0.87069,0.845161]
precision
0.83883 [0.842697,0.834437]
precision
0.835866 [0.846154,0.824104]
precision
0.841886 [0.868263,0.811728]
precision
0.860127 [0.864407,0.855263]
precision
0.868009 [0.862637,0.87415]
precision
0.844923 [0.871257,0.814815]
precision
0.840356 [0.847458,0.832237]
precision
0.824174 [0.842105,0.803797]
precision
0.858633 [0.859944,0.857143]
precision
0.82983 [0.828729,0.831081]
precision
0.834887 [0.853372,0.81388]
precision
0.854148 [0.852778,0.855705]
precision
0.849577 [0.859599,0.838188]
precision
0.817627 [0.81768,0.817568]
precision
0.811434 [0.817416,0.804636]
precision
0.837081 [0.870769,0.798799]
precision
0.849597 [0.876506,0.819018]
precision
0.865091 [0.880466,0.847619]
precision
0.847786 [0.832,0.865724]
precision
0.831343 [0.842407,0.81877]
precision
0.842244 [0.857558,0.824841]
precision
0.840349 [0.84507,0.834983]
precision
0.834278 [0.84136,0.82623]
precision
0.849661 [0.861671,0.836013]
precision
0.843392 [0.847887,0.838284]
precision
0.852014 [0.83871,0.867133]
precision
0.835815 [0.84375,0.826797]
precision
0.83776 [0.854227,0.819048]
precision
0.831397 [0.858859,0.8]
precision
0.83632 [0.853801,0.816456]
precision
0.833012 [0.847262,0.81672]
precision
0.825473 [0.84058,0.808307]
precision
0.820611 [0.829545,0.810458]
precision
0.82973 [0.838527,0.819672]
precision
0.84543 [0.862573,0.825949]
precision
0.854173 [0.864943,0.841935]
precision
0.827211 [0.845029,0.806962]
precision
0.823347 [0.830508,0.815182]
precision
0.817545 [0.83237,0.800643]
precision
0.850761 [0.876877,0.820988]
precision
0.812665 [0.817927,0.806667]
precision
0.803516 [0.809524,0.796667]
precision
0.832652 [0.844828,0.81877]
precision
0.841629 [0.847458,0.834983]
precision
0.849547 [0.863768,0.833333]
precision
0.825521 [0.844575,0.803797]
precision
0.8356 [0.836111,0.835017]
precision
0.849288 [0.85755,0.839869]
precision
0.850761 [0.876877,0.820988]
precision
0.854623 [0.843243,0.867596]
precision
0.812826 [0.825215,0.798701]
precision
0.826425 [0.852853,0.796296]
precision
0.849254 [0.855524,0.842105]
precision
0.814791 [0.833333,0.793651]
precision
0.841654 [0.849432,0.832787]
precision
0.832616 [0.831492,0.833898]
precision
0.842009 [0.857558,0.824281]
precision
0.843164 [0.845938,0.84]
precision
0.844676 [0.850282,0.838284]
precision
0.829755 [0.858006,0.797546]
precision
0.841705 [0.851429,0.830619]
precision
0.853858 [0.854749,0.852843]
precision
0.827914 [0.831933,0.823333]
precision
0.829451 [0.832402,0.826087]
precision
0.837174 [0.848138,0.824675]
precision
0.857216 [0.872093,0.840256]
precision
0.831051 [0.831025,0.831081]
precision
0.803528 [0.807799,0.798658]
precision
0.832797 [0.861027,0.800613]
precision
0.839499 [0.860947,0.815047]
precision
0.839105 [0.831522,0.847751]
precision
0.850038 [0.870206,0.827044]
precision
0.862958 [0.867232,0.858086]
precision
0.831019 [0.840456,0.820261]
precision
0.844924 [0.858382,0.829582]
precision
0.828254 [0.843478,0.810897]
precision
0.834338 [0.849275,0.817308]
precision
0.842793 [0.828877,0.858657]
precision
0.833447 [0.865443,0.79697]
precision
0.84563 [0.833333,0.859649]
precision
0.844677 [0.870871,0.814815]
precision
0.85095 [0.848066,0.854237]
precision
0.844924 [0.858382,0.829582]
precision
0.826594 [0.824176,0.829352]
precision
0.797983 [0.816327,0.77707]
precision
0.850837 [0.86,0.840391]
precision
0.815966 [0.829971,0.8]
precision
0.816998 [0.803714,0.832143]
precision
0.86953 [0.885965,0.850794]
precision
0.824884 [0.832861,0.815789]
precision
0.83858 [0.842697,0.833887]
precision
0.825212 [0.84058,0.807692]
precision
0.837874 [0.858407,0.814465]
precision
0.841781 [0.853448,0.828479]
precision
0.826385 [0.831461,0.820598]
precision
0.823523 [0.836207,0.809061]
precision
0.825118 [0.821918,0.828767]
predictive_accuracy
0.844985
predictive_accuracy
0.819149
predictive_accuracy
0.858663
predictive_accuracy
0.838906
predictive_accuracy
0.835866
predictive_accuracy
0.840426
predictive_accuracy
0.860182
predictive_accuracy
0.867781
predictive_accuracy
0.843465
predictive_accuracy
0.840426
predictive_accuracy
0.823708
predictive_accuracy
0.858663
predictive_accuracy
0.829787
predictive_accuracy
0.834347
predictive_accuracy
0.854103
predictive_accuracy
0.849544
predictive_accuracy
0.817629
predictive_accuracy
0.81155
predictive_accuracy
0.834347
predictive_accuracy
0.848024
predictive_accuracy
0.864742
predictive_accuracy
0.846505
predictive_accuracy
0.831307
predictive_accuracy
0.841945
predictive_accuracy
0.840426
predictive_accuracy
0.834347
predictive_accuracy
0.849544
predictive_accuracy
0.843465
predictive_accuracy
0.851064
predictive_accuracy
0.835866
predictive_accuracy
0.837386
predictive_accuracy
0.829787
predictive_accuracy
0.835866
predictive_accuracy
0.832827
predictive_accuracy
0.825228
predictive_accuracy
0.820669
predictive_accuracy
0.829787
predictive_accuracy
0.844985
predictive_accuracy
0.854103
predictive_accuracy
0.826748
predictive_accuracy
0.82344
predictive_accuracy
0.817352
predictive_accuracy
0.849315
predictive_accuracy
0.812785
predictive_accuracy
0.803653
predictive_accuracy
0.832572
predictive_accuracy
0.841705
predictive_accuracy
0.849315
predictive_accuracy
0.824962
predictive_accuracy
0.835616
predictive_accuracy
0.849315
predictive_accuracy
0.849315
predictive_accuracy
0.853881
predictive_accuracy
0.812785
predictive_accuracy
0.824962
predictive_accuracy
0.849315
predictive_accuracy
0.814307
predictive_accuracy
0.841705
predictive_accuracy
0.832572
predictive_accuracy
0.841705
predictive_accuracy
0.843227
predictive_accuracy
0.844749
predictive_accuracy
0.828006
predictive_accuracy
0.841705
predictive_accuracy
0.853881
predictive_accuracy
0.828006
predictive_accuracy
0.829528
predictive_accuracy
0.837139
predictive_accuracy
0.856925
predictive_accuracy
0.83105
predictive_accuracy
0.803653
predictive_accuracy
0.83105
predictive_accuracy
0.838661
predictive_accuracy
0.838661
predictive_accuracy
0.849315
predictive_accuracy
0.863014
predictive_accuracy
0.83105
predictive_accuracy
0.844749
predictive_accuracy
0.828006
predictive_accuracy
0.834094
predictive_accuracy
0.841705
predictive_accuracy
0.83105
predictive_accuracy
0.844749
predictive_accuracy
0.843227
predictive_accuracy
0.850837
predictive_accuracy
0.844749
predictive_accuracy
0.826484
predictive_accuracy
0.797565
predictive_accuracy
0.850837
predictive_accuracy
0.81583
predictive_accuracy
0.81583
predictive_accuracy
0.869102
predictive_accuracy
0.824962
predictive_accuracy
0.838661
predictive_accuracy
0.824962
predictive_accuracy
0.837139
predictive_accuracy
0.841705
predictive_accuracy
0.826484
predictive_accuracy
0.82344
predictive_accuracy
0.824962
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
recall
0.844985 [0.851852,0.837134]
recall
0.819149 [0.82,0.818182]
recall
0.858663 [0.863248,0.85342]
recall
0.838906 [0.857143,0.818182]
recall
0.835866 [0.846154,0.824104]
recall
0.840426 [0.826211,0.856678]
recall
0.860182 [0.874286,0.844156]
recall
0.867781 [0.894587,0.837134]
recall
0.843465 [0.82906,0.859935]
recall
0.840426 [0.854701,0.824104]
recall
0.823708 [0.822857,0.824675]
recall
0.858663 [0.877143,0.837662]
recall
0.829787 [0.857143,0.798701]
recall
0.834347 [0.831429,0.837662]
recall
0.854103 [0.877143,0.827922]
recall
0.849544 [0.857143,0.840909]
recall
0.817629 [0.845714,0.785714]
recall
0.81155 [0.831429,0.788961]
recall
0.834347 [0.808571,0.863636]
recall
0.848024 [0.831429,0.866883]
recall
0.864742 [0.862857,0.866883]
recall
0.846505 [0.891429,0.795455]
recall
0.831307 [0.84,0.821429]
recall
0.841945 [0.842857,0.840909]
recall
0.840426 [0.857143,0.821429]
recall
0.834347 [0.848571,0.818182]
recall
0.849544 [0.854286,0.844156]
recall
0.843465 [0.86,0.824675]
recall
0.851064 [0.891429,0.805195]
recall
0.835866 [0.848571,0.821429]
recall
0.837386 [0.837143,0.837662]
recall
0.829787 [0.814815,0.846906]
recall
0.835866 [0.834286,0.837662]
recall
0.832827 [0.837607,0.827362]
recall
0.825228 [0.828571,0.821429]
recall
0.820669 [0.834286,0.805195]
recall
0.829787 [0.843305,0.814332]
recall
0.844985 [0.842857,0.847403]
recall
0.854103 [0.86,0.847403]
recall
0.826748 [0.825714,0.827922]
recall
0.82344 [0.84,0.80456]
recall
0.817352 [0.822857,0.811075]
recall
0.849315 [0.834286,0.86645]
recall
0.812785 [0.834286,0.788274]
recall
0.803653 [0.825714,0.778502]
recall
0.832572 [0.84,0.824104]
recall
0.841705 [0.857143,0.824104]
recall
0.849315 [0.851429,0.846906]
recall
0.824962 [0.822857,0.827362]
recall
0.835616 [0.86,0.807818]
recall
0.849315 [0.86,0.837134]
recall
0.849315 [0.834286,0.86645]
recall
0.853881 [0.891429,0.811075]
recall
0.812785 [0.822857,0.801303]
recall
0.824962 [0.811429,0.840391]
recall
0.849315 [0.862857,0.833876]
recall
0.814307 [0.814286,0.814332]
recall
0.841705 [0.854286,0.827362]
recall
0.832572 [0.86,0.801303]
recall
0.841705 [0.842857,0.840391]
recall
0.843227 [0.862857,0.820847]
recall
0.844749 [0.86,0.827362]
recall
0.828006 [0.811429,0.846906]
recall
0.841705 [0.851429,0.830619]
recall
0.853881 [0.874286,0.830619]
recall
0.828006 [0.848571,0.80456]
recall
0.829528 [0.851429,0.80456]
recall
0.837139 [0.845714,0.827362]
recall
0.856925 [0.857143,0.856678]
recall
0.83105 [0.857143,0.801303]
recall
0.803653 [0.828571,0.775244]
recall
0.83105 [0.814286,0.850163]
recall
0.838661 [0.831429,0.846906]
recall
0.838661 [0.874286,0.798046]
recall
0.849315 [0.842857,0.856678]
recall
0.863014 [0.877143,0.846906]
recall
0.83105 [0.842857,0.81759]
recall
0.844749 [0.848571,0.840391]
recall
0.828006 [0.831429,0.824104]
recall
0.834094 [0.837143,0.830619]
recall
0.841705 [0.885714,0.791531]
recall
0.83105 [0.808571,0.856678]
recall
0.844749 [0.885714,0.798046]
recall
0.843227 [0.828571,0.859935]
recall
0.850837 [0.877143,0.820847]
recall
0.844749 [0.848571,0.840391]
recall
0.826484 [0.857143,0.791531]
recall
0.797565 [0.8,0.794788]
recall
0.850837 [0.86,0.840391]
recall
0.81583 [0.822857,0.807818]
recall
0.81583 [0.865714,0.758958]
recall
0.869102 [0.865714,0.872964]
recall
0.824962 [0.84,0.807818]
recall
0.838661 [0.857143,0.81759]
recall
0.824962 [0.828571,0.820847]
recall
0.837139 [0.831429,0.843648]
recall
0.841705 [0.848571,0.833876]
recall
0.826484 [0.845714,0.80456]
recall
0.82344 [0.831429,0.814332]
recall
0.824962 [0.857143,0.788274]
relative_absolute_error
0.397613
relative_absolute_error
0.419462
relative_absolute_error
0.336315
relative_absolute_error
0.394757
relative_absolute_error
0.397834
relative_absolute_error
0.381293
relative_absolute_error
0.356451
relative_absolute_error
0.328551
relative_absolute_error
0.375949
relative_absolute_error
0.380084
relative_absolute_error
0.406486
relative_absolute_error
0.350826
relative_absolute_error
0.398147
relative_absolute_error
0.382991
relative_absolute_error
0.355863
relative_absolute_error
0.373477
relative_absolute_error
0.417656
relative_absolute_error
0.430501
relative_absolute_error
0.394894
relative_absolute_error
0.368601
relative_absolute_error
0.334416
relative_absolute_error
0.381051
relative_absolute_error
0.406091
relative_absolute_error
0.363844
relative_absolute_error
0.369116
relative_absolute_error
0.379972
relative_absolute_error
0.35742
relative_absolute_error
0.373261
relative_absolute_error
0.366537
relative_absolute_error
0.395599
relative_absolute_error
0.38216
relative_absolute_error
0.405219
relative_absolute_error
0.389853
relative_absolute_error
0.387495
relative_absolute_error
0.414211
relative_absolute_error
0.41686
relative_absolute_error
0.402187
relative_absolute_error
0.366562
relative_absolute_error
0.365208
relative_absolute_error
0.404242
relative_absolute_error
0.408107
relative_absolute_error
0.424614
relative_absolute_error
0.359803
relative_absolute_error
0.437786
relative_absolute_error
0.43257
relative_absolute_error
0.402932
relative_absolute_error
0.386849
relative_absolute_error
0.374767
relative_absolute_error
0.387397
relative_absolute_error
0.392986
relative_absolute_error
0.369938
relative_absolute_error
0.383715
relative_absolute_error
0.363465
relative_absolute_error
0.415776
relative_absolute_error
0.41548
relative_absolute_error
0.365756
relative_absolute_error
0.433573
relative_absolute_error
0.37094
relative_absolute_error
0.395096
relative_absolute_error
0.386459
relative_absolute_error
0.367284
relative_absolute_error
0.365665
relative_absolute_error
0.405653
relative_absolute_error
0.384509
relative_absolute_error
0.368041
relative_absolute_error
0.398147
relative_absolute_error
0.402143
relative_absolute_error
0.382939
relative_absolute_error
0.367305
relative_absolute_error
0.393852
relative_absolute_error
0.444529
relative_absolute_error
0.410736
relative_absolute_error
0.405522
relative_absolute_error
0.410101
relative_absolute_error
0.372222
relative_absolute_error
0.352771
relative_absolute_error
0.414382
relative_absolute_error
0.381192
relative_absolute_error
0.421755
relative_absolute_error
0.397507
relative_absolute_error
0.369574
relative_absolute_error
0.404514
relative_absolute_error
0.379684
relative_absolute_error
0.37601
relative_absolute_error
0.369839
relative_absolute_error
0.385619
relative_absolute_error
0.399694
relative_absolute_error
0.456709
relative_absolute_error
0.379672
relative_absolute_error
0.425663
relative_absolute_error
0.436711
relative_absolute_error
0.350007
relative_absolute_error
0.404437
relative_absolute_error
0.389733
relative_absolute_error
0.402892
relative_absolute_error
0.381275
relative_absolute_error
0.37372
relative_absolute_error
0.400209
relative_absolute_error
0.402209
relative_absolute_error
0.42819
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_squared_error
0.362503
root_mean_squared_error
0.393136
root_mean_squared_error
0.354315
root_mean_squared_error
0.375416
root_mean_squared_error
0.385981
root_mean_squared_error
0.37332
root_mean_squared_error
0.351189
root_mean_squared_error
0.336655
root_mean_squared_error
0.37356
root_mean_squared_error
0.376393
root_mean_squared_error
0.395564
root_mean_squared_error
0.359254
root_mean_squared_error
0.382555
root_mean_squared_error
0.367787
root_mean_squared_error
0.366771
root_mean_squared_error
0.364791
root_mean_squared_error
0.394043
root_mean_squared_error
0.394742
root_mean_squared_error
0.389365
root_mean_squared_error
0.361774
root_mean_squared_error
0.347281
root_mean_squared_error
0.36287
root_mean_squared_error
0.380376
root_mean_squared_error
0.369535
root_mean_squared_error
0.368248
root_mean_squared_error
0.368452
root_mean_squared_error
0.368364
root_mean_squared_error
0.362592
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