168502
2
Joaquin Vanschoren
202
Supervised Classification
predictive_accuracy
598
weka.MultiBoostAB_NaiveBayes(2)
973
weka.classifiers.meta.MultiBoostAB -- -C 3 -P 100 -S 1 -I 10 -W weka.classifiers.bayes.NaiveBayes
C
3
598
P
100
598
S
1
598
I
10
598
W
weka.classifiers.bayes.NaiveBayes
598
weka
weka_3.7.12-SNAPSHOT
133
BNG(glass,nominal,137781)
https://www.openml.org/data/download/2163/BayesianNetworkGenerator_glass.arff
-1
553060
description
https://api.openml.org/data/download/553060/weka_generated_run1455421168838048008.xml
-1
553063
model_readable
https://api.openml.org/data/download/553063/WekaModel_weka.classifiers.meta.MultiBoostAB8019608597499826571.model
-1
553062
model_serialized
https://api.openml.org/data/download/553062/WekaSerialized_weka.classifiers.meta.MultiBoostAB5733574398517169753.model
-1
553061
predictions
https://api.openml.org/data/download/553061/weka_generated_predictions1380456915117937823.arff
area_under_roc_curve
0.769117 [0.803762,0.746043,0.547658,0.718306,0.802317,0.697348,0.887352]
average_cost
0
f_measure
0.623243 [0.712956,0.637968,0.132403,0.361409,0.559979,0.29726,0.802128]
kappa
0.507194
kb_relative_information_score
53839.719261
mean_absolute_error
0.153802
mean_prior_absolute_error
0.211549
number_of_instances
137781 [44945,48277,11158,307,8570,6003,18521]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.630941 [0.648667,0.655014,0.430261,0.34104,0.507539,0.287089,0.819431]
predictive_accuracy
0.641083
prior_entropy
2.206067
recall
0.641083 [0.791389,0.621787,0.07824,0.384365,0.624504,0.308179,0.785541]
relative_absolute_error
0.727025
root_mean_prior_squared_error
0.325229
root_mean_squared_error
0.283972
root_relative_squared_error
0.873144
scimark_benchmark
923.764223 [553.5514526595406, 1011.5249537742577, 478.92139815906154, 889.2266081090786, 1685.5967028574782]
total_cost
0
usercpu_time_millis
11480
usercpu_time_millis_testing
3780
usercpu_time_millis_training
7700
area_under_roc_curve
0.768499 [0.801109,0.746917,0.542831,0.762112,0.804472,0.689629,0.890559]
area_under_roc_curve
0.768036 [0.807034,0.745883,0.539683,0.757852,0.804448,0.693877,0.87611]
area_under_roc_curve
0.769699 [0.807149,0.745125,0.548066,0.710311,0.799777,0.700114,0.886031]
area_under_roc_curve
0.76945 [0.803508,0.748052,0.544519,0.726393,0.785778,0.687158,0.897947]
area_under_roc_curve
0.773286 [0.807311,0.753847,0.549448,0.786947,0.790529,0.712054,0.887771]
area_under_roc_curve
0.770075 [0.801843,0.748121,0.551251,0.717733,0.801318,0.702301,0.890323]
area_under_roc_curve
0.766905 [0.79971,0.740733,0.554888,0.769634,0.809612,0.694686,0.886878]
area_under_roc_curve
0.772704 [0.804593,0.751763,0.549886,0.727126,0.81755,0.701783,0.887168]
area_under_roc_curve
0.766891 [0.805966,0.73812,0.549316,0.680499,0.800019,0.691893,0.888595]
area_under_roc_curve
0.772463 [0.805624,0.753016,0.552765,0.631348,0.793734,0.702447,0.890285]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.622489 [0.709483,0.636373,0.15258,0.358209,0.560287,0.281713,0.801874]
f_measure
0.623529 [0.717185,0.641742,0.130998,0.40678,0.561039,0.286865,0.787222]
f_measure
0.622803 [0.717202,0.636537,0.123494,0.318841,0.555957,0.311005,0.795806]
f_measure
0.62257 [0.712736,0.640392,0.117827,0.369231,0.546785,0.28749,0.809341]
f_measure
0.62726 [0.714758,0.643198,0.145318,0.405063,0.556465,0.307325,0.803625]
f_measure
0.623846 [0.709632,0.638343,0.137405,0.42623,0.562825,0.292407,0.809629]
f_measure
0.622089 [0.709044,0.634028,0.137358,0.405405,0.571429,0.294309,0.805324]
f_measure
0.627583 [0.713883,0.641417,0.133232,0.294118,0.577617,0.330393,0.804979]
f_measure
0.616942 [0.713462,0.624639,0.136608,0.3,0.550679,0.273839,0.799233]
f_measure
0.623138 [0.712208,0.642918,0.108563,0.313725,0.556439,0.306464,0.804158]
kappa
0.50529
kappa
0.507696
kappa
0.50689
kappa
0.506916
kappa
0.511449
kappa
0.507848
kappa
0.50469
kappa
0.513212
kappa
0.49955
kappa
0.508392
kb_relative_information_score
5355.705879
kb_relative_information_score
5359.508034
kb_relative_information_score
5355.836069
kb_relative_information_score
5338.515552
kb_relative_information_score
5396.406102
kb_relative_information_score
5401.735745
kb_relative_information_score
5421.283563
kb_relative_information_score
5464.942814
kb_relative_information_score
5338.053731
kb_relative_information_score
5407.731773
mean_absolute_error
0.154541
mean_absolute_error
0.154111
mean_absolute_error
0.154388
mean_absolute_error
0.154443
mean_absolute_error
0.15376
mean_absolute_error
0.153583
mean_absolute_error
0.153009
mean_absolute_error
0.152919
mean_absolute_error
0.154145
mean_absolute_error
0.153118
mean_prior_absolute_error
0.211553
mean_prior_absolute_error
0.21155
mean_prior_absolute_error
0.21155
mean_prior_absolute_error
0.21155
mean_prior_absolute_error
0.211545
mean_prior_absolute_error
0.211545
mean_prior_absolute_error
0.21155
mean_prior_absolute_error
0.21155
mean_prior_absolute_error
0.21155
mean_prior_absolute_error
0.21155
number_of_instances
13779 [4494,4828,1116,31,857,600,1853]
number_of_instances
13778 [4495,4827,1116,30,857,601,1852]
number_of_instances
13778 [4495,4827,1116,30,857,601,1852]
number_of_instances
13778 [4495,4827,1116,30,857,601,1852]
number_of_instances
13778 [4495,4828,1115,31,857,600,1852]
number_of_instances
13778 [4495,4828,1115,31,857,600,1852]
number_of_instances
13778 [4494,4828,1116,31,857,600,1852]
number_of_instances
13778 [4494,4828,1116,31,857,600,1852]
number_of_instances
13778 [4494,4828,1116,31,857,600,1852]
number_of_instances
13778 [4494,4828,1116,31,857,600,1852]
precision
0.631563 [0.646134,0.65441,0.461538,0.333333,0.5,0.278502,0.819257]
precision
0.631953 [0.651235,0.658457,0.436548,0.413793,0.505618,0.278125,0.810641]
precision
0.62771 [0.657159,0.650725,0.386792,0.282051,0.498152,0.298622,0.81377]
precision
0.629564 [0.649698,0.659066,0.403141,0.342857,0.495265,0.269679,0.823826]
precision
0.634687 [0.650201,0.658918,0.440909,0.333333,0.522541,0.294207,0.817775]
precision
0.634214 [0.642496,0.65859,0.461538,0.433333,0.507016,0.283699,0.830306]
precision
0.629764 [0.645255,0.647656,0.435407,0.348837,0.522749,0.287302,0.827822]
precision
0.63525 [0.651487,0.65746,0.429268,0.27027,0.51756,0.318393,0.825298]
precision
0.627746 [0.64486,0.64629,0.475936,0.310345,0.498581,0.267943,0.811006]
precision
0.62715 [0.648402,0.658558,0.369792,0.4,0.509709,0.294028,0.814856]
predictive_accuracy
0.639451
predictive_accuracy
0.641675
predictive_accuracy
0.640441
predictive_accuracy
0.640441
predictive_accuracy
0.644433
predictive_accuracy
0.641675
predictive_accuracy
0.639643
predictive_accuracy
0.645232
predictive_accuracy
0.635651
predictive_accuracy
0.642183
prior_entropy
2.206067
prior_entropy
2.206067
prior_entropy
2.206067
prior_entropy
2.206067
prior_entropy
2.206067
prior_entropy
2.206067
prior_entropy
2.206067
prior_entropy
2.206067
prior_entropy
2.206067
prior_entropy
2.206067
recall
0.639451 [0.786604,0.619304,0.091398,0.387097,0.637106,0.285,0.785213]
recall
0.641675 [0.797998,0.625855,0.077061,0.4,0.630105,0.296173,0.765119]
recall
0.640441 [0.789321,0.622954,0.073477,0.366667,0.628938,0.324459,0.778618]
recall
0.640441 [0.789321,0.622747,0.068996,0.4,0.610268,0.30782,0.795356]
recall
0.644433 [0.793548,0.62821,0.086996,0.516129,0.595099,0.321667,0.789957]
recall
0.641675 [0.792436,0.619304,0.080717,0.419355,0.632439,0.301667,0.789957]
recall
0.639643 [0.786827,0.620961,0.081541,0.483871,0.630105,0.301667,0.784017]
recall
0.645232 [0.789497,0.626139,0.078853,0.322581,0.653442,0.343333,0.785637]
recall
0.635651 [0.798398,0.604391,0.079749,0.290323,0.614936,0.28,0.787797]
recall
0.642183 [0.789942,0.628003,0.06362,0.258065,0.612602,0.32,0.793737]
relative_absolute_error
0.730509
relative_absolute_error
0.728483
relative_absolute_error
0.729795
relative_absolute_error
0.730055
relative_absolute_error
0.726842
relative_absolute_error
0.726007
relative_absolute_error
0.723273
relative_absolute_error
0.722851
relative_absolute_error
0.728644
relative_absolute_error
0.723792
root_mean_prior_squared_error
0.325234
root_mean_prior_squared_error
0.32523
root_mean_prior_squared_error
0.32523
root_mean_prior_squared_error
0.32523
root_mean_prior_squared_error
0.325222
root_mean_prior_squared_error
0.325222
root_mean_prior_squared_error
0.32523
root_mean_prior_squared_error
0.32523
root_mean_prior_squared_error
0.32523
root_mean_prior_squared_error
0.32523
root_mean_squared_error
0.284545
root_mean_squared_error
0.283822
root_mean_squared_error
0.284132
root_mean_squared_error
0.28424
root_mean_squared_error
0.282907
root_mean_squared_error
0.283806
root_mean_squared_error
0.28456
root_mean_squared_error
0.282492
root_mean_squared_error
0.285725
root_mean_squared_error
0.283475
root_relative_squared_error
0.874891
root_relative_squared_error
0.872681
root_relative_squared_error
0.873636
root_relative_squared_error
0.873966
root_relative_squared_error
0.869886
root_relative_squared_error
0.872653
root_relative_squared_error
0.87495
root_relative_squared_error
0.86859
root_relative_squared_error
0.878532
root_relative_squared_error
0.871615
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
7260
usercpu_time_millis
7300
usercpu_time_millis
7320
usercpu_time_millis
7290
usercpu_time_millis
7260
usercpu_time_millis
7350
usercpu_time_millis
7330
usercpu_time_millis
7400
usercpu_time_millis
7380
usercpu_time_millis
7380
usercpu_time_millis_testing
380
usercpu_time_millis_testing
380
usercpu_time_millis_testing
380
usercpu_time_millis_testing
380
usercpu_time_millis_testing
380
usercpu_time_millis_testing
380
usercpu_time_millis_testing
380
usercpu_time_millis_testing
380
usercpu_time_millis_testing
380
usercpu_time_millis_testing
370
usercpu_time_millis_training
6880
usercpu_time_millis_training
6920
usercpu_time_millis_training
6940
usercpu_time_millis_training
6910
usercpu_time_millis_training
6880
usercpu_time_millis_training
6970
usercpu_time_millis_training
6950
usercpu_time_millis_training
7020
usercpu_time_millis_training
7000
usercpu_time_millis_training
7010