440832
2
Joaquin Vanschoren
4417
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
847
wind
https://www.openml.org/data/download/53381/wind.arff
-1
1543007
description
https://api.openml.org/data/download/1543007/weka_generated_run7677769759803876918.xml
-1
1543010
model_readable
https://api.openml.org/data/download/1543010/WekaModel_weka.classifiers.trees.RandomForest1165388832992946991.model
-1
1543009
model_serialized
https://api.openml.org/data/download/1543009/WekaSerialized_weka.classifiers.trees.RandomForest6449236424310361580.model
-1
1543008
predictions
https://api.openml.org/data/download/1543008/weka_generated_predictions2288879883236240106.arff
area_under_roc_curve
0.939659 [0.939659,0.939659]
average_cost
0
f_measure
0.864643 [0.873967,0.854019]
kappa
0.728005
kb_relative_information_score
40003.83209
mean_absolute_error
0.207763
mean_prior_absolute_error
0.497881
number_of_instances
65740 [35010,30730]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.864678 [0.867317,0.861671]
predictive_accuracy
0.864725
prior_entropy
0.996942
recall
0.864725 [0.88072,0.846502]
relative_absolute_error
0.417293
root_mean_prior_squared_error
0.498939
root_mean_squared_error
0.312714
root_relative_squared_error
0.626759
scimark_benchmark
945.622832 [551.974871083423, 1013.6533323510344, 483.449727694041, 912.7576668351037, 1766.2785639901995]
total_cost
0
usercpu_time_millis
3230
usercpu_time_millis_testing
380
usercpu_time_millis_training
2850
area_under_roc_curve
0.944171 [0.944171,0.944171]
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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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0.936785 [0.936785,0.936785]
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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average_cost
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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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kb_relative_information_score
420.352648
kb_relative_information_score
413.114346
kb_relative_information_score
393.433783
kb_relative_information_score
411.252278
kb_relative_information_score
418.510073
kb_relative_information_score
399.575819
kb_relative_information_score
407.346987
kb_relative_information_score
399.04537
kb_relative_information_score
409.714814
kb_relative_information_score
395.160239
kb_relative_information_score
403.184721
kb_relative_information_score
399.542728
kb_relative_information_score
386.204614
kb_relative_information_score
402.461435
kb_relative_information_score
389.893248
kb_relative_information_score
406.810453
kb_relative_information_score
403.9167
kb_relative_information_score
398.322391
kb_relative_information_score
371.04752
kb_relative_information_score
405.625262
kb_relative_information_score
383.552703
kb_relative_information_score
383.647623
kb_relative_information_score
404.346808
kb_relative_information_score
399.299679
kb_relative_information_score
412.272314
kb_relative_information_score
398.036538
kb_relative_information_score
404.88538
kb_relative_information_score
402.052413
kb_relative_information_score
411.570644
kb_relative_information_score
414.165796
kb_relative_information_score
404.515453
kb_relative_information_score
385.967243
kb_relative_information_score
413.961961
kb_relative_information_score
359.859824
kb_relative_information_score
415.012402
kb_relative_information_score
390.071118
kb_relative_information_score
397.198387
kb_relative_information_score
416.280549
kb_relative_information_score
408.768572
kb_relative_information_score
410.167256
kb_relative_information_score
398.430141
kb_relative_information_score
406.649995
kb_relative_information_score
379.972843
kb_relative_information_score
389.341771
kb_relative_information_score
413.645035
kb_relative_information_score
398.316653
kb_relative_information_score
380.715477
kb_relative_information_score
380.133552
kb_relative_information_score
391.171367
kb_relative_information_score
377.262273
kb_relative_information_score
389.305686
kb_relative_information_score
390.679381
kb_relative_information_score
414.99422
kb_relative_information_score
400.785869
kb_relative_information_score
413.307278
kb_relative_information_score
388.194384
kb_relative_information_score
398.741737
kb_relative_information_score
403.46089
kb_relative_information_score
403.972003
kb_relative_information_score
413.239054
kb_relative_information_score
411.952665
kb_relative_information_score
412.981068
kb_relative_information_score
401.655771
kb_relative_information_score
391.411478
kb_relative_information_score
359.899726
kb_relative_information_score
404.078462
kb_relative_information_score
385.452134
kb_relative_information_score
382.591681
kb_relative_information_score
416.509719
kb_relative_information_score
390.179418
kb_relative_information_score
396.462268
kb_relative_information_score
394.113248
kb_relative_information_score
403.908676
kb_relative_information_score
404.353413
kb_relative_information_score
396.162929
kb_relative_information_score
400.649155
kb_relative_information_score
401.561958
mean_absolute_error
0.205669
mean_absolute_error
0.214362
mean_absolute_error
0.196839
mean_absolute_error
0.214726
mean_absolute_error
0.213404
mean_absolute_error
0.199696
mean_absolute_error
0.194681
mean_absolute_error
0.198191
mean_absolute_error
0.213313
mean_absolute_error
0.215881
mean_absolute_error
0.219696
mean_absolute_error
0.204103
mean_absolute_error
0.214863
mean_absolute_error
0.206839
mean_absolute_error
0.18965
mean_absolute_error
0.214863
mean_absolute_error
0.194073
mean_absolute_error
0.224802
mean_absolute_error
0.197249
mean_absolute_error
0.19348
mean_absolute_error
0.187128
mean_absolute_error
0.210152
mean_absolute_error
0.212036
mean_absolute_error
0.193678
mean_absolute_error
0.197599
mean_absolute_error
0.212021
mean_absolute_error
0.198526
mean_absolute_error
0.194559
mean_absolute_error
0.207234
mean_absolute_error
0.201991
mean_absolute_error
0.211003
mean_absolute_error
0.201641
mean_absolute_error
0.212918
mean_absolute_error
0.205593
mean_absolute_error
0.2081
mean_absolute_error
0.217204
mean_absolute_error
0.207295
mean_absolute_error
0.215653
mean_absolute_error
0.202948
mean_absolute_error
0.206322
mean_absolute_error
0.207367
mean_absolute_error
0.228508
mean_absolute_error
0.203227
mean_absolute_error
0.220365
mean_absolute_error
0.220746
mean_absolute_error
0.204901
mean_absolute_error
0.209482
mean_absolute_error
0.199041
mean_absolute_error
0.208524
mean_absolute_error
0.203912
mean_absolute_error
0.206149
mean_absolute_error
0.200061
mean_absolute_error
0.196545
mean_absolute_error
0.203805
mean_absolute_error
0.217656
mean_absolute_error
0.196545
mean_absolute_error
0.236027
mean_absolute_error
0.198219
mean_absolute_error
0.215129
mean_absolute_error
0.209619
mean_absolute_error
0.195358
mean_absolute_error
0.200213
mean_absolute_error
0.200472
mean_absolute_error
0.208767
mean_absolute_error
0.203546
mean_absolute_error
0.221842
mean_absolute_error
0.214581
mean_absolute_error
0.19825
mean_absolute_error
0.207991
mean_absolute_error
0.22204
mean_absolute_error
0.220989
mean_absolute_error
0.214353
mean_absolute_error
0.223607
mean_absolute_error
0.215936
mean_absolute_error
0.215723
mean_absolute_error
0.197291
mean_absolute_error
0.208478
mean_absolute_error
0.197778
mean_absolute_error
0.217169
mean_absolute_error
0.209132
mean_absolute_error
0.204475
mean_absolute_error
0.205023
mean_absolute_error
0.1979
mean_absolute_error
0.1993
mean_absolute_error
0.197123
mean_absolute_error
0.205753
mean_absolute_error
0.213486
mean_absolute_error
0.236332
mean_absolute_error
0.205419
mean_absolute_error
0.217108
mean_absolute_error
0.220441
mean_absolute_error
0.19481
mean_absolute_error
0.213805
mean_absolute_error
0.210381
mean_absolute_error
0.212709
mean_absolute_error
0.205175
mean_absolute_error
0.204368
mean_absolute_error
0.210533
mean_absolute_error
0.206256
mean_absolute_error
0.206651
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
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mean_prior_absolute_error
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mean_prior_absolute_error
0.497923
mean_prior_absolute_error
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mean_prior_absolute_error
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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
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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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0.49787
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mean_prior_absolute_error
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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
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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
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mean_prior_absolute_error
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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
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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number_of_instances
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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]
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]
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]
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]
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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]
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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]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
precision
0.874075 [0.887283,0.858974]
precision
0.861214 [0.846774,0.877622]
precision
0.88462 [0.880886,0.888889]
precision
0.852664 [0.850416,0.855219]
precision
0.852703 [0.864943,0.83871]
precision
0.876878 [0.883523,0.869281]
precision
0.884744 [0.878453,0.891892]
precision
0.866424 [0.862259,0.871186]
precision
0.860253 [0.87106,0.847896]
precision
0.857214 [0.868195,0.84466]
precision
0.851503 [0.868421,0.832278]
precision
0.875486 [0.872222,0.879195]
precision
0.851019 [0.857955,0.843137]
precision
0.855565 [0.859155,0.851485]
precision
0.881832 [0.873626,0.891156]
precision
0.855568 [0.86119,0.84918]
precision
0.87706 [0.872576,0.882155]
precision
0.84046 [0.851003,0.828479]
precision
0.880621 [0.899705,0.858934]
precision
0.883079 [0.893372,0.871383]
precision
0.901405 [0.913043,0.888179]
precision
0.857549 [0.849727,0.866438]
precision
0.855816 [0.85124,0.861017]
precision
0.884492 [0.884831,0.884106]
precision
0.87706 [0.872576,0.882155]
precision
0.852891 [0.846575,0.860068]
precision
0.860178 [0.860335,0.86]
precision
0.874129 [0.867769,0.881356]
precision
0.855081 [0.841398,0.870629]
precision
0.866718 [0.857923,0.876712]
precision
0.879966 [0.888252,0.87055]
precision
0.876928 [0.885714,0.866883]
precision
0.865251 [0.882698,0.845426]
precision
0.861669 [0.863128,0.86]
precision
0.857405 [0.851648,0.863946]
precision
0.841945 [0.851429,0.831169]
precision
0.87085 [0.88,0.86039]
precision
0.852527 [0.858357,0.845902]
precision
0.870781 [0.873239,0.867987]
precision
0.869301 [0.877143,0.86039]
precision
0.851555 [0.840541,0.864111]
precision
0.83884 [0.852601,0.823151]
precision
0.873624 [0.878187,0.868421]
precision
0.856909 [0.857542,0.856187]
precision
0.866131 [0.863889,0.868687]
precision
0.87986 [0.89049,0.867742]
precision
0.873723 [0.871866,0.875839]
precision
0.882772 [0.884507,0.880795]
precision
0.856873 [0.859551,0.853821]
precision
0.869063 [0.875,0.862295]
precision
0.861701 [0.856749,0.867347]
precision
0.88124 [0.884181,0.877888]
precision
0.870757 [0.867036,0.875]
precision
0.872109 [0.877841,0.865574]
precision
0.858562 [0.870317,0.845161]
precision
0.872099 [0.875706,0.867987]
precision
0.833037 [0.850877,0.812698]
precision
0.890673 [0.90407,0.875399]
precision
0.857492 [0.847826,0.868512]
precision
0.855767 [0.87172,0.83758]
precision
0.870757 [0.867036,0.875]
precision
0.866125 [0.876437,0.854369]
precision
0.876691 [0.883191,0.869281]
precision
0.863621 [0.853261,0.875433]
precision
0.873723 [0.871866,0.875839]
precision
0.841655 [0.843575,0.839465]
precision
0.847727 [0.851124,0.843854]
precision
0.882811 [0.882353,0.883333]
precision
0.855363 [0.857143,0.853333]
precision
0.855341 [0.859155,0.850993]
precision
0.849254 [0.855524,0.842105]
precision
0.862972 [0.869318,0.855738]
precision
0.847966 [0.861272,0.832797]
precision
0.858413 [0.859944,0.856667]
precision
0.862201 [0.882006,0.839623]
precision
0.869283 [0.864641,0.874576]
precision
0.870872 [0.865014,0.877551]
precision
0.872109 [0.877841,0.865574]
precision
0.866341 [0.880814,0.84984]
precision
0.866228 [0.861878,0.871186]
precision
0.85854 [0.855956,0.861486]
precision
0.863177 [0.875723,0.848875]
precision
0.881812 [0.871585,0.893471]
precision
0.878828 [0.897059,0.858044]
precision
0.877753 [0.862534,0.895105]
precision
0.869184 [0.866667,0.872054]
precision
0.854845 [0.841398,0.870175]
precision
0.823347 [0.830508,0.815182]
precision
0.873929 [0.867769,0.880952]
precision
0.841706 [0.841667,0.841751]
precision
0.853858 [0.854749,0.852843]
precision
0.887514 [0.898844,0.874598]
precision
0.853836 [0.860795,0.845902]
precision
0.866228 [0.861878,0.871186]
precision
0.866125 [0.876437,0.854369]
precision
0.878139 [0.903904,0.848765]
precision
0.855346 [0.86119,0.848684]
precision
0.861836 [0.854795,0.869863]
precision
0.863444 [0.855191,0.872852]
precision
0.865474 [0.851752,0.881119]
predictive_accuracy
0.87386
predictive_accuracy
0.860182
predictive_accuracy
0.884498
predictive_accuracy
0.852584
predictive_accuracy
0.852584
predictive_accuracy
0.8769
predictive_accuracy
0.884498
predictive_accuracy
0.866261
predictive_accuracy
0.860182
predictive_accuracy
0.857143
predictive_accuracy
0.851064
predictive_accuracy
0.87538
predictive_accuracy
0.851064
predictive_accuracy
0.855623
predictive_accuracy
0.881459
predictive_accuracy
0.855623
predictive_accuracy
0.8769
predictive_accuracy
0.840426
predictive_accuracy
0.879939
predictive_accuracy
0.882979
predictive_accuracy
0.901216
predictive_accuracy
0.857143
predictive_accuracy
0.855623
predictive_accuracy
0.884498
predictive_accuracy
0.8769
predictive_accuracy
0.852584
predictive_accuracy
0.860182
predictive_accuracy
0.87386
predictive_accuracy
0.854103
predictive_accuracy
0.866261
predictive_accuracy
0.879939
predictive_accuracy
0.8769
predictive_accuracy
0.864742
predictive_accuracy
0.861702
predictive_accuracy
0.857143
predictive_accuracy
0.841945
predictive_accuracy
0.870821
predictive_accuracy
0.852584
predictive_accuracy
0.870821
predictive_accuracy
0.869301
predictive_accuracy
0.850837
predictive_accuracy
0.838661
predictive_accuracy
0.873668
predictive_accuracy
0.856925
predictive_accuracy
0.866058
predictive_accuracy
0.879756
predictive_accuracy
0.873668
predictive_accuracy
0.882801
predictive_accuracy
0.856925
predictive_accuracy
0.869102
predictive_accuracy
0.861492
predictive_accuracy
0.881279
predictive_accuracy
0.870624
predictive_accuracy
0.872146
predictive_accuracy
0.858447
predictive_accuracy
0.872146
predictive_accuracy
0.832572
predictive_accuracy
0.890411
predictive_accuracy
0.856925
predictive_accuracy
0.855403
predictive_accuracy
0.870624
predictive_accuracy
0.866058
predictive_accuracy
0.876712
predictive_accuracy
0.863014
predictive_accuracy
0.873668
predictive_accuracy
0.841705
predictive_accuracy
0.847793
predictive_accuracy
0.882801
predictive_accuracy
0.855403
predictive_accuracy
0.855403
predictive_accuracy
0.849315
predictive_accuracy
0.863014
predictive_accuracy
0.847793
predictive_accuracy
0.858447
predictive_accuracy
0.861492
predictive_accuracy
0.869102
predictive_accuracy
0.870624
predictive_accuracy
0.872146
predictive_accuracy
0.866058
predictive_accuracy
0.866058
predictive_accuracy
0.858447
predictive_accuracy
0.863014
predictive_accuracy
0.881279
predictive_accuracy
0.878234
predictive_accuracy
0.876712
predictive_accuracy
0.869102
predictive_accuracy
0.853881
predictive_accuracy
0.82344
predictive_accuracy
0.873668
predictive_accuracy
0.841705
predictive_accuracy
0.853881
predictive_accuracy
0.887367
predictive_accuracy
0.853881
predictive_accuracy
0.866058
predictive_accuracy
0.866058
predictive_accuracy
0.876712
predictive_accuracy
0.855403
predictive_accuracy
0.861492
predictive_accuracy
0.863014
predictive_accuracy
0.864536
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
0.87386 [0.874644,0.872964]
recall
0.860182 [0.9,0.814935]
recall
0.884498 [0.905983,0.859935]
recall
0.852584 [0.877143,0.824675]
recall
0.852584 [0.85755,0.846906]
recall
0.8769 [0.88604,0.86645]
recall
0.884498 [0.908571,0.857143]
recall
0.866261 [0.891738,0.837134]
recall
0.860182 [0.866097,0.85342]
recall
0.857143 [0.863248,0.850163]
recall
0.851064 [0.848571,0.853896]
recall
0.87538 [0.897143,0.850649]
recall
0.851064 [0.862857,0.837662]
recall
0.855623 [0.871429,0.837662]
recall
0.881459 [0.908571,0.850649]
recall
0.855623 [0.868571,0.840909]
recall
0.8769 [0.9,0.850649]
recall
0.840426 [0.848571,0.831169]
recall
0.879939 [0.871429,0.88961]
recall
0.882979 [0.885714,0.87987]
recall
0.901216 [0.9,0.902597]
recall
0.857143 [0.888571,0.821429]
recall
0.855623 [0.882857,0.824675]
recall
0.884498 [0.9,0.866883]
recall
0.8769 [0.9,0.850649]
recall
0.852584 [0.882857,0.818182]
recall
0.860182 [0.88,0.837662]
recall
0.87386 [0.9,0.844156]
recall
0.854103 [0.894286,0.808442]
recall
0.866261 [0.897143,0.831169]
recall
0.879939 [0.885714,0.873377]
recall
0.8769 [0.883191,0.869707]
recall
0.864742 [0.86,0.87013]
recall
0.861702 [0.880342,0.840391]
recall
0.857143 [0.885714,0.824675]
recall
0.841945 [0.851429,0.831169]
recall
0.870821 [0.877493,0.863192]
recall
0.852584 [0.865714,0.837662]
recall
0.870821 [0.885714,0.853896]
recall
0.869301 [0.877143,0.86039]
recall
0.850837 [0.888571,0.807818]
recall
0.838661 [0.842857,0.833876]
recall
0.873668 [0.885714,0.859935]
recall
0.856925 [0.877143,0.833876]
recall
0.866058 [0.888571,0.840391]
recall
0.879756 [0.882857,0.876221]
recall
0.873668 [0.894286,0.850163]
recall
0.882801 [0.897143,0.86645]
recall
0.856925 [0.874286,0.837134]
recall
0.869102 [0.88,0.856678]
recall
0.861492 [0.888571,0.830619]
recall
0.881279 [0.894286,0.86645]
recall
0.870624 [0.894286,0.843648]
recall
0.872146 [0.882857,0.859935]
recall
0.858447 [0.862857,0.85342]
recall
0.872146 [0.885714,0.856678]
recall
0.832572 [0.831429,0.833876]
recall
0.890411 [0.888571,0.892508]
recall
0.856925 [0.891429,0.81759]
recall
0.855403 [0.854286,0.856678]
recall
0.870624 [0.894286,0.843648]
recall
0.866058 [0.871429,0.859935]
recall
0.876712 [0.885714,0.86645]
recall
0.863014 [0.897143,0.824104]
recall
0.873668 [0.894286,0.850163]
recall
0.841705 [0.862857,0.81759]
recall
0.847793 [0.865714,0.827362]
recall
0.882801 [0.9,0.863192]
recall
0.855403 [0.874286,0.833876]
recall
0.855403 [0.871429,0.837134]
recall
0.849315 [0.862857,0.833876]
recall
0.863014 [0.874286,0.850163]
recall
0.847793 [0.851429,0.843648]
recall
0.858447 [0.877143,0.837134]
recall
0.861492 [0.854286,0.869707]
recall
0.869102 [0.894286,0.840391]
recall
0.870624 [0.897143,0.840391]
recall
0.872146 [0.882857,0.859935]
recall
0.866058 [0.865714,0.86645]
recall
0.866058 [0.891429,0.837134]
recall
0.858447 [0.882857,0.830619]
recall
0.863014 [0.865714,0.859935]
recall
0.881279 [0.911429,0.846906]
recall
0.878234 [0.871429,0.885993]
recall
0.876712 [0.914286,0.833876]
recall
0.869102 [0.891429,0.843648]
recall
0.853881 [0.894286,0.807818]
recall
0.82344 [0.84,0.80456]
recall
0.873668 [0.9,0.843648]
recall
0.841705 [0.865714,0.814332]
recall
0.853881 [0.874286,0.830619]
recall
0.887367 [0.888571,0.885993]
recall
0.853881 [0.865714,0.840391]
recall
0.866058 [0.891429,0.837134]
recall
0.866058 [0.871429,0.859935]
recall
0.876712 [0.86,0.895765]
recall
0.855403 [0.868571,0.840391]
recall
0.861492 [0.891429,0.827362]
recall
0.863014 [0.894286,0.827362]
recall
0.864536 [0.902857,0.820847]
relative_absolute_error
0.413135
relative_absolute_error
0.430512
relative_absolute_error
0.395399
relative_absolute_error
0.431244
relative_absolute_error
0.428674
relative_absolute_error
0.401138
relative_absolute_error
0.390986
relative_absolute_error
0.398116
relative_absolute_error
0.428491
relative_absolute_error
0.43365
relative_absolute_error
0.441225
relative_absolute_error
0.40991
relative_absolute_error
0.431519
relative_absolute_error
0.415404
relative_absolute_error
0.380883
relative_absolute_error
0.431519
relative_absolute_error
0.389765
relative_absolute_error
0.45148
relative_absolute_error
0.396144
relative_absolute_error
0.388575
relative_absolute_error
0.375817
relative_absolute_error
0.422057
relative_absolute_error
0.425842
relative_absolute_error
0.388972
relative_absolute_error
0.396846
relative_absolute_error
0.425812
relative_absolute_error
0.398708
relative_absolute_error
0.390742
relative_absolute_error
0.416197
relative_absolute_error
0.405667
relative_absolute_error
0.423767
relative_absolute_error
0.405046
relative_absolute_error
0.427612
relative_absolute_error
0.412983
relative_absolute_error
0.417937
relative_absolute_error
0.43622
relative_absolute_error
0.416402
relative_absolute_error
0.433106
relative_absolute_error
0.40759
relative_absolute_error
0.414366
relative_absolute_error
0.416508
relative_absolute_error
0.458972
relative_absolute_error
0.408192
relative_absolute_error
0.442616
relative_absolute_error
0.44338
relative_absolute_error
0.411555
relative_absolute_error
0.420757
relative_absolute_error
0.399785
relative_absolute_error
0.418831
relative_absolute_error
0.409568
relative_absolute_error
0.414062
relative_absolute_error
0.401833
relative_absolute_error
0.394771
relative_absolute_error
0.409354
relative_absolute_error
0.437174
relative_absolute_error
0.394771
relative_absolute_error
0.474074
relative_absolute_error
0.398134
relative_absolute_error
0.432099
relative_absolute_error
0.421032
relative_absolute_error
0.392387
relative_absolute_error
0.402139
relative_absolute_error
0.402659
relative_absolute_error
0.41932
relative_absolute_error
0.408834
relative_absolute_error
0.445581
relative_absolute_error
0.430999
relative_absolute_error
0.398195
relative_absolute_error
0.417761
relative_absolute_error
0.445979
relative_absolute_error
0.443869
relative_absolute_error
0.43054
relative_absolute_error
0.449128
relative_absolute_error
0.43372
relative_absolute_error
0.433292
relative_absolute_error
0.396269
relative_absolute_error
0.41874
relative_absolute_error
0.397248
relative_absolute_error
0.436196
relative_absolute_error
0.420054
relative_absolute_error
0.410699
relative_absolute_error
0.4118
relative_absolute_error
0.397492
relative_absolute_error
0.400305
relative_absolute_error
0.395933
relative_absolute_error
0.413267
relative_absolute_error
0.428798
relative_absolute_error
0.474686
relative_absolute_error
0.412595
relative_absolute_error
0.436074
relative_absolute_error
0.442769
relative_absolute_error
0.391286
relative_absolute_error
0.42944
relative_absolute_error
0.422561
relative_absolute_error
0.427239
relative_absolute_error
0.412106
relative_absolute_error
0.410485
relative_absolute_error
0.422867
relative_absolute_error
0.414276
relative_absolute_error
0.415071
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
0.306715
root_mean_squared_error
0.316011
root_mean_squared_error
0.299404
root_mean_squared_error
0.317685
root_mean_squared_error
0.322482
root_mean_squared_error
0.304159
root_mean_squared_error
0.296739
root_mean_squared_error
0.301801
root_mean_squared_error
0.312895
root_mean_squared_error
0.32023
root_mean_squared_error
0.326148
root_mean_squared_error
0.305675
root_mean_squared_error
0.3228
root_mean_squared_error
0.316277
root_mean_squared_error
0.291037
root_mean_squared_error
0.317356
root_mean_squared_error
0.303645
root_mean_squared_error
0.331428
root_mean_squared_error
0.303908
root_mean_squared_error
0.304139
root_mean_squared_error
0.28313
root_mean_squared_error
0.313874
root_mean_squared_error
0.323736
root_mean_squared_error
0.297702
root_mean_squared_error
0.303169
root_mean_squared_error
0.320426
root_mean_squared_error
0.308998
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