1810341
1
Jan van Rijn
3481
Supervised Classification
2094
weka.AdaBoostM1_REPTree(4)
2905
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1724
V
0.001
1724
N
3
1724
S
1
1724
L
-1
1724
I
0.0
1724
P
100
2094
S
1
2094
I
10
2094
W
weka.classifiers.trees.REPTree
2094
weka
weka_3.7.13
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
4534714
description
https://api.openml.org/data/download/4534714/weka_generated_run4892264134211173854.xml
-1
4534716
model_readable
https://api.openml.org/data/download/4534716/WekaModel_weka.classifiers.meta.AdaBoostM11268927271034724432.model
-1
4534715
model_serialized
https://api.openml.org/data/download/4534715/WekaSerialized_weka.classifiers.meta.AdaBoostM1655363973657991001.model
-1
4534717
predictions
https://api.openml.org/data/download/4534717/weka_generated_predictions8302854534553286324.arff
area_under_roc_curve
0.996556 [0.998618,0.994223,0.998948,0.993008,0.9921,0.99545,0.997603,0.995619,0.99783,0.998189,0.997304,0.999244,0.991703,0.994537,0.99955,0.993017,0.999696,0.999458,0.99842,0.991998,0.998512,0.992919,0.998696,0.998512,0.999916,0.995355]
average_cost
0
f_measure
0.920823 [0.906149,0.839117,0.973333,0.886288,0.823932,0.938436,0.902479,0.978151,0.953642,0.931323,0.917492,0.964824,0.87,0.864775,0.966777,0.85473,0.951586,0.968386,0.966443,0.878536,0.945092,0.830508,0.935811,0.974958,0.988196,0.93039]
kappa
0.917568
kb_relative_information_score
7225.011006
mean_absolute_error
0.008133
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]
precision
0.92131 [0.880503,0.796407,0.973333,0.889262,0.845614,0.930693,0.895082,0.986441,0.947368,0.936027,0.908497,0.969697,0.86711,0.866221,0.963576,0.866438,0.953177,0.966777,0.972973,0.877076,0.943522,0.844828,0.94863,0.976589,1,0.948097]
predictive_accuracy
0.920739
prior_entropy
4.700438
recall
0.920739 [0.933333,0.886667,0.973333,0.883333,0.803333,0.946309,0.91,0.97,0.96,0.926667,0.926667,0.96,0.87291,0.863333,0.97,0.843333,0.95,0.97,0.96,0.88,0.946667,0.816667,0.923333,0.973333,0.976667,0.913333]
relative_absolute_error
0.109952
root_mean_prior_squared_error
0.192308
root_mean_squared_error
0.06827
root_relative_squared_error
0.355003
total_cost
0
area_under_roc_curve
0.997203 [0.997333,0.998889,0.999644,0.995511,0.987956,0.999867,0.995289,1,0.999911,0.999556,0.993156,1,0.990978,0.996356,0.996311,0.994844,0.999778,0.999867,0.999956,0.996044,0.999911,0.992356,0.999822,0.9976,1,0.996356]
area_under_roc_curve
0.996532 [0.997644,0.988533,1,0.9964,0.993733,0.999778,0.999333,0.994,0.989778,0.999422,0.993533,1,0.998622,0.998267,0.999822,0.982133,0.999156,0.999778,0.997422,0.990489,0.996133,0.996089,0.999867,1,0.999911,1]
area_under_roc_curve
0.996591 [0.999422,0.997644,0.999733,0.9912,0.997378,0.999822,0.999067,0.988978,0.999156,0.995556,0.998756,0.995422,0.999422,0.999156,0.999867,0.991511,0.9996,0.998089,0.999556,0.9868,0.9996,0.996089,0.999244,0.994489,1,0.985822]
area_under_roc_curve
0.997827 [0.998489,0.994978,0.999911,0.998444,0.998311,0.999644,0.999244,0.997467,0.999911,0.998533,0.999333,0.999911,0.998133,0.983022,1,0.989333,1,0.999956,0.999822,0.995733,1,0.994267,0.999867,0.999822,0.999778,0.9996]
area_under_roc_curve
0.995125 [0.999556,0.988711,0.999689,0.997733,0.991067,0.997022,0.998756,0.999956,0.999956,0.998978,0.998133,0.999867,0.993111,0.993289,1,0.992667,0.999733,1,0.988,0.990533,0.997422,0.977044,0.996667,0.991889,0.999511,0.983956]
area_under_roc_curve
0.995703 [0.999511,0.994978,0.991333,0.982267,0.995333,0.989022,0.998933,1,0.999911,0.998311,0.998044,0.997956,0.972667,0.994711,0.999467,0.987422,0.999956,0.999956,0.999467,0.995911,1,0.994178,0.999511,0.999911,1,0.999511]
area_under_roc_curve
0.997242 [0.998467,0.998044,1,0.995867,0.984044,0.998756,1,0.977333,0.999733,0.999822,0.999556,1,0.991067,0.993644,0.999733,0.995422,0.999556,0.999911,1,0.999867,0.999333,0.999733,0.999378,1,1,0.999022]
area_under_roc_curve
0.996948 [0.998932,0.992078,1,0.992123,0.985937,1,0.996084,0.999599,0.999688,0.999332,0.999644,0.999644,0.999264,0.995594,0.999644,0.999377,0.999421,1,1,0.974522,0.999733,0.990521,1,0.999955,1,0.999644]
area_under_roc_curve
0.995921 [0.999466,0.995505,0.999822,0.983578,0.993814,0.993563,0.993769,1,0.998131,0.993903,0.991055,1,0.998442,0.998665,1,0.996707,0.999466,0.996573,1,0.98923,0.992078,0.996084,0.993324,0.999955,1,0.990743]
area_under_roc_curve
0.99675 [0.999065,0.993725,0.999911,0.999688,0.995861,0.978184,0.997552,0.999866,0.990921,0.999599,0.999332,0.999955,0.978238,0.995839,0.999911,0.999421,1,0.999733,0.999288,1,0.999822,0.993146,0.998353,1,1,0.997463]
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
0.914407 [0.915254,0.828571,0.935484,0.903226,0.807018,0.935484,0.866667,1,0.966667,0.933333,0.866667,1,0.896552,0.888889,0.983051,0.877193,0.931034,0.95082,0.967742,0.819672,0.928571,0.779661,0.966667,0.912281,0.983051,0.931034]
f_measure
0.928296 [0.865672,0.733333,1,0.888889,0.870968,0.967742,0.933333,0.966667,0.933333,0.952381,0.947368,0.983607,0.915254,0.885246,0.966667,0.793103,0.95082,0.966667,0.965517,0.912281,0.931034,0.888889,0.95082,0.983051,0.983051,1]
f_measure
0.92695 [0.923077,0.885246,0.966667,0.872727,0.918033,0.95082,0.920635,0.966667,0.935484,0.947368,0.918033,0.949153,0.931034,0.931034,0.967742,0.915254,0.935484,0.931034,0.931034,0.870968,0.935484,0.806452,0.931034,0.983051,1,0.877193]
f_measure
0.929498 [0.918033,0.857143,0.983051,0.881356,0.912281,0.95082,0.892308,0.983051,0.983051,0.931034,0.9375,0.947368,0.888889,0.857143,0.967742,0.813559,0.983051,0.983607,0.966667,0.896552,0.983607,0.766667,0.966667,0.983607,0.983051,0.949153]
f_measure
0.901424 [0.923077,0.852459,0.949153,0.861538,0.807018,0.885246,0.888889,0.965517,0.967742,0.915254,0.852459,0.983607,0.766667,0.806452,1,0.866667,0.949153,0.983051,0.912281,0.806452,0.933333,0.877193,0.836364,0.983051,0.983051,0.881356]
f_measure
0.911057 [0.915254,0.830769,0.966667,0.793103,0.8,0.931034,0.9,1,0.966667,0.933333,0.903226,0.931034,0.827586,0.806452,0.952381,0.821429,0.965517,0.983607,0.95082,0.83871,0.983607,0.833333,0.966667,0.967742,0.983051,0.935484]
f_measure
0.922352 [0.9,0.875,1,0.947368,0.703704,0.933333,0.967742,0.965517,0.9375,0.928571,0.920635,0.965517,0.847458,0.885246,0.912281,0.766667,0.935484,0.966667,0.983051,0.952381,0.9,0.952381,0.920635,0.983607,0.983051,0.947368]
f_measure
0.92653 [0.862069,0.857143,1,0.877193,0.786885,0.983607,0.877193,0.966667,0.95082,0.966667,0.966667,0.918033,0.878788,0.872727,0.933333,0.90625,0.949153,0.983051,1,0.852459,0.967742,0.814815,1,0.983051,0.983051,0.95082]
f_measure
0.916911 [0.9375,0.8125,0.949153,0.9,0.827586,0.912281,0.881356,1,0.912281,0.9,0.965517,1,0.912281,0.90625,1,0.83871,0.933333,0.95082,1,0.851852,0.918033,0.769231,0.896552,0.967742,1,0.896552]
f_measure
0.929208 [0.9,0.857143,0.983607,0.935484,0.793651,0.931034,0.892857,0.966667,0.983051,0.90625,0.9,0.967742,0.83871,0.807018,0.983051,0.947368,0.983607,0.983607,0.983607,0.983607,0.966667,0.821429,0.912281,1,1,0.931034]
kappa
0.910667
kappa
0.925333
kappa
0.924
kappa
0.926667
kappa
0.897333
kappa
0.908
kappa
0.92
kappa
0.923903
kappa
0.913222
kappa
0.926572
kb_relative_information_score
719.07936
kb_relative_information_score
721.564492
kb_relative_information_score
723.879561
kb_relative_information_score
730.084138
kb_relative_information_score
707.862616
kb_relative_information_score
722.021535
kb_relative_information_score
729.14026
kb_relative_information_score
724.918292
kb_relative_information_score
716.006706
kb_relative_information_score
730.454047
mean_absolute_error
0.008764
mean_absolute_error
0.008596
mean_absolute_error
0.007969
mean_absolute_error
0.007255
mean_absolute_error
0.009587
mean_absolute_error
0.008096
mean_absolute_error
0.007508
mean_absolute_error
0.007611
mean_absolute_error
0.008836
mean_absolute_error
0.007101
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
0.917786 [0.931034,0.725,0.90625,0.875,0.851852,0.90625,0.866667,1,0.966667,0.933333,0.866667,1,0.928571,0.848485,1,0.925926,0.964286,0.935484,0.9375,0.806452,1,0.793103,0.966667,0.962963,1,0.964286]
precision
0.931231 [0.783784,0.733333,1,0.848485,0.84375,0.9375,0.933333,0.966667,0.933333,0.909091,1,0.967742,0.931034,0.870968,0.966667,0.821429,0.935484,0.966667,1,0.962963,0.964286,1,0.935484,1,1,1]
precision
0.929512 [0.857143,0.870968,0.966667,0.96,0.903226,0.935484,0.878788,0.966667,0.90625,1,0.903226,0.965517,0.964286,0.964286,0.9375,0.931034,0.90625,0.964286,0.964286,0.84375,0.90625,0.78125,0.964286,1,1,0.925926]
precision
0.931753 [0.903226,0.818182,1,0.896552,0.962963,0.935484,0.828571,1,1,0.964286,0.882353,1,0.848485,0.923077,0.9375,0.827586,1,0.967742,0.966667,0.928571,0.967742,0.766667,0.966667,0.967742,1,0.965517]
precision
0.904146 [0.857143,0.83871,0.965517,0.8,0.851852,0.870968,0.848485,1,0.9375,0.931034,0.83871,0.967742,0.766667,0.78125,1,0.866667,0.965517,1,0.962963,0.78125,0.933333,0.925926,0.92,1,1,0.896552]
precision
0.912825 [0.931034,0.771429,0.966667,0.821429,0.88,0.964286,0.9,1,0.966667,0.933333,0.875,0.964286,0.857143,0.78125,0.909091,0.884615,1,0.967742,0.935484,0.8125,0.967742,0.833333,0.966667,0.9375,1,0.90625]
precision
0.924902 [0.9,0.823529,1,1,0.791667,0.933333,0.9375,1,0.882353,1,0.878788,1,0.862069,0.870968,0.962963,0.766667,0.90625,0.966667,1,0.909091,0.9,0.909091,0.878788,0.967742,1,1]
precision
0.929705 [0.892857,0.818182,1,0.925926,0.774194,0.967742,0.925926,0.966667,0.935484,0.966667,0.966667,0.903226,0.783784,0.96,0.933333,0.852941,0.965517,1,1,0.83871,0.9375,0.916667,1,1,1,0.935484]
precision
0.920201 [0.882353,0.764706,0.965517,0.9,0.857143,0.928571,0.896552,1,0.962963,0.9,1,1,0.962963,0.852941,1,0.8125,0.933333,0.935484,1,0.958333,0.903226,0.714286,0.928571,0.9375,1,0.928571]
precision
0.93128 [0.9,0.818182,0.967742,0.90625,0.757576,0.931034,0.961538,0.966667,1,0.852941,0.9,0.9375,0.8125,0.851852,1,1,0.967742,0.967742,0.967742,0.967742,0.966667,0.884615,0.962963,1,1,0.964286]
predictive_accuracy
0.914103
predictive_accuracy
0.928205
predictive_accuracy
0.926923
predictive_accuracy
0.929487
predictive_accuracy
0.901282
predictive_accuracy
0.911538
predictive_accuracy
0.923077
predictive_accuracy
0.926829
predictive_accuracy
0.91656
predictive_accuracy
0.929397
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
0.914103 [0.9,0.966667,0.966667,0.933333,0.766667,0.966667,0.866667,1,0.966667,0.933333,0.866667,1,0.866667,0.933333,0.966667,0.833333,0.9,0.966667,1,0.833333,0.866667,0.766667,0.966667,0.866667,0.966667,0.9]
recall
0.928205 [0.966667,0.733333,1,0.933333,0.9,1,0.933333,0.966667,0.933333,1,0.9,1,0.9,0.9,0.966667,0.766667,0.966667,0.966667,0.933333,0.866667,0.9,0.8,0.966667,0.966667,0.966667,1]
recall
0.926923 [1,0.9,0.966667,0.8,0.933333,0.966667,0.966667,0.966667,0.966667,0.9,0.933333,0.933333,0.9,0.9,1,0.9,0.966667,0.9,0.9,0.9,0.966667,0.833333,0.9,0.966667,1,0.833333]
recall
0.929487 [0.933333,0.9,0.966667,0.866667,0.866667,0.966667,0.966667,0.966667,0.966667,0.9,1,0.9,0.933333,0.8,1,0.8,0.966667,1,0.966667,0.866667,1,0.766667,0.966667,1,0.966667,0.933333]
recall
0.901282 [1,0.866667,0.933333,0.933333,0.766667,0.9,0.933333,0.933333,1,0.9,0.866667,1,0.766667,0.833333,1,0.866667,0.933333,0.966667,0.866667,0.833333,0.933333,0.833333,0.766667,0.966667,0.966667,0.866667]
recall
0.911538 [0.9,0.9,0.966667,0.766667,0.733333,0.9,0.9,1,0.966667,0.933333,0.933333,0.9,0.8,0.833333,1,0.766667,0.933333,1,0.966667,0.866667,1,0.833333,0.966667,1,0.966667,0.966667]
recall
0.923077 [0.9,0.933333,1,0.9,0.633333,0.933333,1,0.933333,1,0.866667,0.966667,0.933333,0.833333,0.9,0.866667,0.766667,0.966667,0.966667,0.966667,1,0.9,1,0.966667,1,0.966667,0.9]
recall
0.926829 [0.833333,0.9,1,0.833333,0.8,1,0.833333,0.966667,0.966667,0.966667,0.966667,0.933333,1,0.8,0.933333,0.966667,0.933333,0.966667,1,0.866667,1,0.733333,1,0.966667,0.966667,0.966667]
recall
0.91656 [1,0.866667,0.933333,0.9,0.8,0.896552,0.866667,1,0.866667,0.9,0.933333,1,0.866667,0.966667,1,0.866667,0.933333,0.966667,1,0.766667,0.933333,0.833333,0.866667,1,1,0.866667]
recall
0.929397 [0.9,0.9,1,0.966667,0.833333,0.931034,0.833333,0.966667,0.966667,0.966667,0.9,1,0.866667,0.766667,0.966667,0.9,1,1,1,1,0.966667,0.766667,0.866667,1,1,0.9]
relative_absolute_error
0.118495
relative_absolute_error
0.116213
relative_absolute_error
0.107736
relative_absolute_error
0.098082
relative_absolute_error
0.12962
relative_absolute_error
0.109464
relative_absolute_error
0.101514
relative_absolute_error
0.102907
relative_absolute_error
0.119463
relative_absolute_error
0.096012
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
0.069938
root_mean_squared_error
0.069078
root_mean_squared_error
0.066103
root_mean_squared_error
0.063771
root_mean_squared_error
0.077431
root_mean_squared_error
0.069841
root_mean_squared_error
0.065687
root_mean_squared_error
0.067036
root_mean_squared_error
0.070022
root_mean_squared_error
0.062629
root_relative_squared_error
0.363678
root_relative_squared_error
0.359207
root_relative_squared_error
0.343736
root_relative_squared_error
0.331612
root_relative_squared_error
0.402639
root_relative_squared_error
0.363171
root_relative_squared_error
0.341573
root_relative_squared_error
0.348587
root_relative_squared_error
0.364113
root_relative_squared_error
0.325669
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