27898
2
Joaquin Vanschoren
3481
Supervised Classification
523
weka.Bagging_J48(2)
768
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 20 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
I
20
523
P
100
523
S
1
523
W
weka.classifiers.trees.J48
523
num-slots
1
523
C
0.25
365
M
2
365
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
62428
description
https://api.openml.org/data/download/62428/weka_generated_run185047368739021917.xml
-1
62431
model_readable
https://api.openml.org/data/download/62431/WekaModel_weka.classifiers.meta.Bagging8404006349712374691.model
-1
62430
model_serialized
https://api.openml.org/data/download/62430/WekaSerialized_weka.classifiers.meta.Bagging6265623088114276723.model
-1
62429
predictions
https://api.openml.org/data/download/62429/weka_generated_predictions6898642966071926039.arff
area_under_roc_curve
0.995329 [0.995267,0.989789,0.997939,0.992708,0.994302,0.999001,0.990823,0.997629,0.997594,0.995067,0.990645,0.99763,0.992182,0.992237,0.999374,0.98523,0.999427,0.999839,0.999336,0.993873,0.995832,0.991506,0.996615,0.999942,0.998155,0.996622]
average_cost
0
build_cpu_time
365.149901
build_memory
2027852102.516353
f_measure
0.914103 [0.91598,0.844884,0.962109,0.882943,0.804674,0.930233,0.882645,0.968386,0.95098,0.88586,0.889256,0.957983,0.853782,0.853782,0.968174,0.861953,0.945634,0.964706,0.945946,0.885077,0.931373,0.855241,0.932231,0.978441,0.989933,0.92437]
kappa
0.910766
kb_relative_information_score
7058.627288
mean_absolute_error
0.014546
mean_prior_absolute_error
0.073964
number_of_instances
7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.914262 [0.905537,0.836601,0.95114,0.885906,0.80602,0.921053,0.87541,0.966777,0.932692,0.905923,0.881967,0.966102,0.858108,0.861017,0.973064,0.870748,0.934853,0.972881,0.958904,0.911661,0.913462,0.853821,0.92459,0.973597,0.996622,0.932203]
predictive_accuracy
0.914198
prior_entropy
4.700438
recall
0.914198 [0.926667,0.853333,0.973333,0.88,0.803333,0.939597,0.89,0.97,0.97,0.866667,0.896667,0.95,0.849498,0.846667,0.963333,0.853333,0.956667,0.956667,0.933333,0.86,0.95,0.856667,0.94,0.983333,0.983333,0.916667]
relative_absolute_error
0.19666
root_mean_prior_squared_error
0.192308
root_mean_squared_error
0.074446
root_relative_squared_error
0.387118
scimark_benchmark
891.118432 [528.5577773344239, 960.5956967556333, 455.94132284654324, 850.0129396777824, 1660.4844257601474]
total_cost
0
area_under_roc_curve
0.996758 [0.997356,0.995467,0.981333,0.995511,0.991178,1,0.997467,0.996622,0.999556,0.9976,0.996844,0.999733,0.997067,0.993467,0.999489,0.988667,0.999467,0.999822,1,0.995489,0.999511,0.996533,0.999511,0.999956,1,0.998067]
area_under_roc_curve
0.996339 [0.9988,0.996044,1,0.995911,0.997511,0.999556,0.999244,0.999556,0.999378,0.999422,0.998978,0.999956,0.994578,0.993778,0.999956,0.971244,0.999911,0.999822,0.999733,0.993867,0.981956,0.986911,0.999111,1,1,0.9996]
area_under_roc_curve
0.996164 [0.9992,0.996756,0.999733,0.996711,0.992756,0.999022,0.996756,0.981422,0.9988,0.9964,0.999378,0.999067,0.999467,0.996711,1,0.998044,0.999689,0.999644,0.999422,0.999022,0.9804,0.996533,0.997822,0.999911,1,0.9776]
area_under_roc_curve
0.995332 [0.977822,0.9966,0.999422,0.998044,0.997956,0.9976,0.998578,0.999911,0.980556,0.998756,0.999822,0.9984,0.995844,0.993133,0.998422,0.990067,0.999956,0.999867,0.998089,0.993133,0.999733,0.969333,0.999244,1,1,0.998356]
area_under_roc_curve
0.994298 [0.9984,0.978444,0.999689,0.977222,0.995289,0.996667,0.999911,0.999911,0.999956,0.992978,0.991844,0.999911,0.995511,0.9684,0.999822,0.995444,0.9996,0.999689,0.997689,0.993333,0.999556,0.9964,0.978044,0.999956,1,0.998089]
area_under_roc_curve
0.992897 [0.999867,0.994244,0.999733,0.986956,0.992978,0.999289,0.990867,1,1,0.995667,0.960356,0.980289,0.995733,0.998,1,0.9526,0.9994,1,0.999689,0.996044,0.999778,0.993422,0.999867,0.999911,0.981889,0.998756]
area_under_roc_curve
0.994469 [0.998133,0.994844,0.999956,0.992556,0.991911,0.998711,0.999644,0.999911,0.999733,0.997733,0.976489,0.999956,0.956844,0.993933,0.997644,0.970178,0.999333,1,0.999244,0.999511,0.998911,0.996267,0.996133,0.999956,0.999956,0.998711]
area_under_roc_curve
0.996874 [0.996529,0.977325,0.999955,0.992835,0.995416,1,0.975968,0.999733,1,0.997063,0.998665,0.999688,0.997839,0.995283,0.999243,0.999911,0.998398,1,1,0.998887,0.999688,0.997152,0.999666,1,1,0.99951]
area_under_roc_curve
0.993759 [0.999688,0.968069,0.999666,0.993458,0.993769,0.999724,0.955296,1,0.997775,0.977926,0.988273,1,0.995995,0.998353,1,0.995661,0.998376,0.999733,1,0.991255,0.998821,0.993102,0.995906,1,1,0.997085]
area_under_roc_curve
0.997391 [0.990343,0.998887,0.999955,0.999599,0.995594,0.998966,0.996351,1,0.999911,0.998932,0.998264,0.99951,0.995238,0.993124,0.99951,0.997196,0.999822,0.999955,0.999733,0.979662,0.999822,0.992279,0.999777,1,0.999955,0.999822]
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
build_cpu_time
366.96
build_cpu_time
364.934
build_cpu_time
367.769
build_cpu_time
365.072
build_cpu_time
365.159
build_cpu_time
367.864
build_cpu_time
360.635
build_cpu_time
361.97
build_cpu_time
364.938
build_cpu_time
366.195
build_memory
874160192
build_memory
2404516696
build_memory
1805681912
build_memory
2648984968
build_memory
876634336
build_memory
1086157768
build_memory
2882597944
build_memory
2679516456
build_memory
2516432824
build_memory
2505912680
f_measure
0.923222 [0.933333,0.83871,0.935484,0.885246,0.786885,1,0.870968,0.966667,0.952381,0.931034,0.903226,0.983051,0.881356,0.866667,0.983051,0.877193,0.949153,0.949153,0.967742,0.842105,0.903226,0.949153,0.933333,0.965517,1,0.949153]
f_measure
0.91388 [0.861538,0.8,1,0.903226,0.80597,0.935484,0.9,0.95082,0.949153,0.933333,0.9,0.983607,0.8,0.793103,0.966667,0.912281,0.983051,0.966667,0.931034,0.866667,0.949153,0.785714,0.952381,1,1,0.931034]
f_measure
0.910882 [0.90625,0.842105,0.967742,0.857143,0.881356,0.903226,0.896552,0.966667,0.90625,0.862069,0.885246,0.928571,0.892308,0.892857,0.983607,0.862069,0.95082,0.912281,0.915254,0.931034,0.896552,0.794521,0.918033,0.983051,1,0.947368]
f_measure
0.91231 [0.931034,0.875,0.952381,0.918033,0.847458,0.903226,0.892308,0.966667,0.949153,0.928571,0.882353,0.9,0.847458,0.785714,0.95082,0.862069,0.983051,0.966667,0.892857,0.851852,0.9375,0.847458,0.933333,0.967742,1,0.947368]
f_measure
0.907568 [0.885246,0.857143,0.933333,0.903226,0.857143,0.857143,0.935484,0.947368,0.967742,0.870968,0.857143,0.966667,0.813559,0.806452,0.966667,0.9,0.967742,0.965517,0.892857,0.9,0.952381,0.877193,0.915254,0.95082,0.983051,0.866667]
f_measure
0.908408 [0.967742,0.8,0.965517,0.807018,0.733333,0.892857,0.870968,1,1,0.877193,0.847458,0.95082,0.892857,0.95082,1,0.793103,0.95082,1,0.9375,0.862069,0.935484,0.793651,0.9375,0.983607,0.983051,0.885246]
f_measure
0.913872 [0.95082,0.866667,0.966667,0.881356,0.745763,0.918033,0.9,0.965517,0.966667,0.872727,0.90625,0.965517,0.833333,0.931034,0.949153,0.745763,0.903226,0.967742,0.965517,0.935484,0.933333,0.870968,0.95082,0.983607,0.966667,0.918033]
f_measure
0.917255 [0.9,0.857143,0.967742,0.896552,0.785714,0.967742,0.83871,0.952381,0.923077,0.821429,0.949153,0.966667,0.885246,0.842105,0.928571,0.895522,0.866667,0.965517,1,0.872727,0.933333,0.931034,0.983051,0.966667,1,0.95082]
f_measure
0.904767 [0.95082,0.819672,0.949153,0.806452,0.785714,0.965517,0.827586,0.983607,0.933333,0.857143,0.872727,0.966667,0.866667,0.870968,1,0.84375,0.920635,0.966667,0.983051,0.842105,0.903226,0.877193,0.866667,0.983607,0.983051,0.9]
f_measure
0.928181 [0.872727,0.885246,0.983607,0.966667,0.818182,0.964286,0.892857,0.983607,0.966667,0.903226,0.885246,0.966667,0.821429,0.8,0.95082,0.928571,0.983607,0.983607,0.966667,0.935484,0.967742,0.842105,0.931034,1,0.983051,0.95082]
kappa
0.92
kappa
0.910667
kappa
0.906667
kappa
0.909333
kappa
0.904
kappa
0.905333
kappa
0.910667
kappa
0.914557
kappa
0.901207
kappa
0.925237
kb_relative_information_score
705.038327
kb_relative_information_score
709.295649
kb_relative_information_score
705.082103
kb_relative_information_score
704.197465
kb_relative_information_score
703.5757
kb_relative_information_score
701.01914
kb_relative_information_score
705.490588
kb_relative_information_score
709.933243
kb_relative_information_score
700.572951
kb_relative_information_score
714.422121
mean_absolute_error
0.01472
mean_absolute_error
0.014154
mean_absolute_error
0.015015
mean_absolute_error
0.014842
mean_absolute_error
0.014859
mean_absolute_error
0.01514
mean_absolute_error
0.014779
mean_absolute_error
0.014239
mean_absolute_error
0.014643
mean_absolute_error
0.013065
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
precision
0.924691 [0.933333,0.8125,0.90625,0.870968,0.774194,1,0.84375,0.966667,0.909091,0.964286,0.875,1,0.896552,0.866667,1,0.925926,0.965517,0.965517,0.9375,0.888889,0.875,0.965517,0.933333,1,1,0.965517]
precision
0.916415 [0.8,0.88,1,0.875,0.72973,0.90625,0.9,0.935484,0.965517,0.933333,0.9,0.967742,0.8,0.821429,0.966667,0.962963,1,0.966667,0.964286,0.866667,0.965517,0.846154,0.909091,1,1,0.964286]
precision
0.916794 [0.852941,0.888889,0.9375,0.923077,0.896552,0.875,0.928571,0.966667,0.852941,0.892857,0.870968,1,0.828571,0.961538,0.967742,0.892857,0.935484,0.962963,0.931034,0.964286,0.928571,0.674419,0.903226,1,1,1]
precision
0.916376 [0.964286,0.823529,0.909091,0.903226,0.862069,0.875,0.828571,0.966667,0.965517,1,0.789474,0.9,0.862069,0.846154,0.935484,0.892857,1,0.966667,0.961538,0.958333,0.882353,0.862069,0.933333,0.9375,1,1]
precision
0.909951 [0.870968,0.818182,0.933333,0.875,0.923077,0.818182,0.90625,1,0.9375,0.84375,0.923077,0.966667,0.827586,0.78125,0.966667,0.9,0.9375,1,0.961538,0.9,0.909091,0.925926,0.931034,0.935484,1,0.866667]
precision
0.910211 [0.9375,0.8,1,0.851852,0.733333,0.961538,0.84375,1,1,0.925926,0.862069,0.935484,0.961538,0.935484,1,0.821429,0.935484,1,0.882353,0.892857,0.90625,0.757576,0.882353,0.967742,1,0.870968]
precision
0.91529 [0.935484,0.866667,0.966667,0.896552,0.758621,0.903226,0.9,1,0.966667,0.96,0.852941,1,0.833333,0.964286,0.965517,0.758621,0.875,0.9375,1,0.90625,0.933333,0.84375,0.935484,0.967742,0.966667,0.903226]
precision
0.920611 [0.9,0.818182,0.9375,0.928571,0.846154,0.9375,0.8125,0.909091,0.857143,0.884615,0.965517,0.966667,0.84375,0.888889,1,0.810811,0.866667,1,1,0.96,0.933333,0.964286,1,0.966667,1,0.935484]
precision
0.906757 [0.935484,0.806452,0.965517,0.78125,0.846154,0.965517,0.857143,0.967742,0.933333,0.818182,0.96,0.966667,0.866667,0.84375,1,0.794118,0.878788,0.966667,1,0.888889,0.875,0.925926,0.866667,0.967742,1,0.9]
precision
0.931507 [0.96,0.870968,0.967742,0.966667,0.75,1,0.961538,0.967742,0.966667,0.875,0.870968,0.966667,0.884615,0.742857,0.935484,1,0.967742,0.967742,0.966667,0.90625,0.9375,0.888889,0.964286,1,1,0.935484]
predictive_accuracy
0.923077
predictive_accuracy
0.914103
predictive_accuracy
0.910256
predictive_accuracy
0.912821
predictive_accuracy
0.907692
predictive_accuracy
0.908974
predictive_accuracy
0.914103
predictive_accuracy
0.917843
predictive_accuracy
0.905006
predictive_accuracy
0.928113
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
recall
0.923077 [0.933333,0.866667,0.966667,0.9,0.8,1,0.9,0.966667,1,0.9,0.933333,0.966667,0.866667,0.866667,0.966667,0.833333,0.933333,0.933333,1,0.8,0.933333,0.933333,0.933333,0.933333,1,0.933333]
recall
0.914103 [0.933333,0.733333,1,0.933333,0.9,0.966667,0.9,0.966667,0.933333,0.933333,0.9,1,0.8,0.766667,0.966667,0.866667,0.966667,0.966667,0.9,0.866667,0.933333,0.733333,1,1,1,0.9]
recall
0.910256 [0.966667,0.8,1,0.8,0.866667,0.933333,0.866667,0.966667,0.966667,0.833333,0.9,0.866667,0.966667,0.833333,1,0.833333,0.966667,0.866667,0.9,0.9,0.866667,0.966667,0.933333,0.966667,1,0.9]
recall
0.912821 [0.9,0.933333,1,0.933333,0.833333,0.933333,0.966667,0.966667,0.933333,0.866667,1,0.9,0.833333,0.733333,0.966667,0.833333,0.966667,0.966667,0.833333,0.766667,1,0.833333,0.933333,1,1,0.9]
recall
0.907692 [0.9,0.9,0.933333,0.933333,0.8,0.9,0.966667,0.9,1,0.9,0.8,0.966667,0.8,0.833333,0.966667,0.9,1,0.933333,0.833333,0.9,1,0.833333,0.9,0.966667,0.966667,0.866667]
recall
0.908974 [1,0.8,0.933333,0.766667,0.733333,0.833333,0.9,1,1,0.833333,0.833333,0.966667,0.833333,0.966667,1,0.766667,0.966667,1,1,0.833333,0.966667,0.833333,1,1,0.966667,0.9]
recall
0.914103 [0.966667,0.866667,0.966667,0.866667,0.733333,0.933333,0.9,0.933333,0.966667,0.8,0.966667,0.933333,0.833333,0.9,0.933333,0.733333,0.933333,1,0.933333,0.966667,0.933333,0.9,0.966667,1,0.966667,0.933333]
recall
0.917843 [0.9,0.9,1,0.866667,0.733333,1,0.866667,1,1,0.766667,0.933333,0.966667,0.931034,0.8,0.866667,1,0.866667,0.933333,1,0.8,0.933333,0.9,0.966667,0.966667,1,0.966667]
recall
0.905006 [0.966667,0.833333,0.933333,0.833333,0.733333,0.965517,0.8,1,0.933333,0.9,0.8,0.966667,0.866667,0.9,1,0.9,0.966667,0.966667,0.966667,0.8,0.933333,0.833333,0.866667,1,0.966667,0.9]
recall
0.928113 [0.8,0.9,1,0.966667,0.9,0.931034,0.833333,1,0.966667,0.933333,0.9,0.966667,0.766667,0.866667,0.966667,0.866667,1,1,0.966667,0.966667,1,0.8,0.9,1,0.966667,0.966667]
relative_absolute_error
0.19901
relative_absolute_error
0.191363
relative_absolute_error
0.202999
relative_absolute_error
0.200667
relative_absolute_error
0.200897
relative_absolute_error
0.204699
relative_absolute_error
0.199811
relative_absolute_error
0.192512
relative_absolute_error
0.19797
relative_absolute_error
0.176644
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_squared_error
0.074523
root_mean_squared_error
0.073051
root_mean_squared_error
0.074844
root_mean_squared_error
0.075751
root_mean_squared_error
0.076682
root_mean_squared_error
0.076967
root_mean_squared_error
0.074296
root_mean_squared_error
0.072794
root_mean_squared_error
0.075769
root_mean_squared_error
0.069478
root_relative_squared_error
0.38752
root_relative_squared_error
0.379865
root_relative_squared_error
0.389187
root_relative_squared_error
0.393905
root_relative_squared_error
0.398746
root_relative_squared_error
0.400228
root_relative_squared_error
0.38634
root_relative_squared_error
0.37853
root_relative_squared_error
0.393996
root_relative_squared_error
0.361284
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