10559727
3180
Claudio Rebelo Sá
145804
Supervised Classification
18704
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)
8276245
bootstrap
true
18704
intervals_only
false
18704
max_depth
3
18704
max_features
"auto"
18704
max_samples
null
18704
n_bins
20
18704
n_estimators
100
18704
n_jobs
3
18704
quality_function_weight
0.5
18704
result_set_size
20
18704
search_strategy
"bestfirst"
18704
verbose
0
18704
openml-python
Sklearn_0.23.1.
50
tic-tac-toe
https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff
-1
22044686
description
https://api.openml.org/data/download/22044686/description.xml
-1
22044687
predictions
https://api.openml.org/data/download/22044687/predictions.arff
area_under_roc_curve
0.7291188991092131 [0.733099,0.727008]
average_cost
0
f_measure
0.6695665092681803 [0.614286,0.698885]
kappa
0.3359292095984665
kb_relative_information_score
-1.1793749344512563
mean_absolute_error
0.48759394572025083
mean_prior_absolute_error
0.45300756784968915
weighted_recall
0.6617954070981211 [0.777108,0.600639]
number_of_instances
958 [332,626]
precision
0.7219957734928227 [0.507874,0.835556]
predictive_accuracy
0.661795407098121
prior_entropy
0.9309543116818706
relative_absolute_error
1.0763483445425301
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.6558549138784091
root_relative_squared_error
1.3782150224858285
total_cost
0
unweighted_recall
0.6888737056853613 [0.777108,0.600639]
area_under_roc_curve
0.7144585738335739 [0.73545,0.703463]
area_under_roc_curve
0.7355173761423761 [0.729678,0.738576]
area_under_roc_curve
0.7912082130832131 [0.738336,0.818903]
area_under_roc_curve
0.713556697931698 [0.718134,0.711159]
area_under_roc_curve
0.7711940836940837 [0.775613,0.768879]
area_under_roc_curve
0.695579304954305 [0.749399,0.667388]
area_under_roc_curve
0.7402207858950032 [0.785104,0.715607]
area_under_roc_curve
0.769765970904491 [0.745256,0.783207]
area_under_roc_curve
0.679047692545146 [0.705523,0.664956]
area_under_roc_curve
0.7565750887482636 [0.713832,0.779326]
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
0.612851031154015 [0.55814,0.641509]
f_measure
0.5804385584020842 [0.591837,0.574468]
f_measure
0.7149500907441017 [0.631579,0.758621]
f_measure
0.7048584387025839 [0.658824,0.728972]
f_measure
0.7833377518557795 [0.695652,0.829268]
f_measure
0.610375816993464 [0.577778,0.627451]
f_measure
0.6909722222222223 [0.583333,0.75]
f_measure
0.6701449275362319 [0.652174,0.68]
f_measure
0.6384860712209045 [0.597701,0.660194]
f_measure
0.6600265369305617 [0.611765,0.685714]
kappa
0.23329129886506927
kappa
0.24970691676436116
kappa
0.39703903095558557
kappa
0.4111675126903553
kappa
0.5254237288135594
kappa
0.25215252152521517
kappa
0.3345656192236599
kappa
0.37152209492635013
kappa
0.29270368006807057
kappa
0.3247900064613397
kb_relative_information_score
-1.179792837726607
kb_relative_information_score
-1.1984348070565247
kb_relative_information_score
-1.1647616670229899
kb_relative_information_score
-1.1846324710734353
kb_relative_information_score
-1.1743677789246103
kb_relative_information_score
-1.1760484268982057
kb_relative_information_score
-1.1572373386246608
kb_relative_information_score
-1.1697329202710673
kb_relative_information_score
-1.2012417284731516
kb_relative_information_score
-1.1880353985705536
mean_absolute_error
0.48864583333333317
mean_absolute_error
0.49229166666666685
mean_absolute_error
0.48286458333333343
mean_absolute_error
0.4900520833333331
mean_absolute_error
0.4823958333333334
mean_absolute_error
0.4893749999999999
mean_absolute_error
0.48213541666666676
mean_absolute_error
0.4878645833333335
mean_absolute_error
0.49231578947368415
mean_absolute_error
0.48805263157894724
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.4553385416666673
mean_prior_absolute_error
0.4553385416666673
mean_prior_absolute_error
0.45325657894736904
mean_prior_absolute_error
0.45325657894736904
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [34,62]
number_of_instances
96 [34,62]
number_of_instances
95 [33,62]
number_of_instances
95 [33,62]
precision
0.6745557261956998 [0.45283,0.790698]
precision
0.7249379652605459 [0.446154,0.870968]
precision
0.7366717858709961 [0.55814,0.830189]
precision
0.7667722902097903 [0.538462,0.886364]
precision
0.7869791666666667 [0.666667,0.85]
precision
0.6952597840755735 [0.45614,0.820513]
precision
0.6968012704174229 [0.552632,0.775862]
precision
0.7610405323653963 [0.517241,0.894737]
precision
0.7084581372129511 [0.481481,0.829268]
precision
0.7200734394124846 [0.5,0.837209]
predictive_accuracy
0.6041666666666666
predictive_accuracy
0.5833333333333334
predictive_accuracy
0.7083333333333333
predictive_accuracy
0.6979166666666667
predictive_accuracy
0.78125
predictive_accuracy
0.6041666666666666
predictive_accuracy
0.6875
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.631578947368421
predictive_accuracy
0.6526315789473683
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9379030360861306
prior_entropy
0.9379030360861306
prior_entropy
0.9316966235340134
prior_entropy
0.9316966235340134
relative_absolute_error
1.0807199424046057
relative_absolute_error
1.088783297336212
relative_absolute_error
1.0679337652987748
relative_absolute_error
1.0838300935925107
relative_absolute_error
1.0668970482361397
relative_absolute_error
1.0823326133909268
relative_absolute_error
1.0588504432370591
relative_absolute_error
1.071432656562767
relative_absolute_error
1.0861746135423453
relative_absolute_error
1.0767689962987135
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.4783155938203006
root_mean_prior_squared_error
0.4783155938203006
root_mean_prior_squared_error
0.4761342715793188
root_mean_prior_squared_error
0.4761342715793188
root_mean_squared_error
0.6536388528843736
root_mean_squared_error
0.6612952883041987
root_mean_squared_error
0.6474352445096987
root_mean_squared_error
0.6555154619330753
root_mean_squared_error
0.6511392260236412
root_mean_squared_error
0.6526316916914164
root_mean_squared_error
0.6531785265147654
root_mean_squared_error
0.6583474418319454
root_mean_squared_error
0.665508906975074
root_mean_squared_error
0.6598026020592905
root_relative_squared_error
1.3761711447380152
root_relative_squared_error
1.3922910027449524
root_relative_squared_error
1.363110068578283
root_relative_squared_error
1.3801221571531759
root_relative_squared_error
1.3709084307130264
root_relative_squared_error
1.3740506677104773
root_relative_squared_error
1.3655806646357413
root_relative_squared_error
1.3763871601461555
root_relative_squared_error
1.397733678711274
root_relative_squared_error
1.3857490238431085
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
unweighted_recall
0.6334776334776335 [0.727273,0.539683]
unweighted_recall
0.6536796536796536 [0.878788,0.428571]
unweighted_recall
0.7128427128427128 [0.727273,0.698413]
unweighted_recall
0.7337662337662338 [0.848485,0.619048]
unweighted_recall
0.7683982683982684 [0.727273,0.809524]
unweighted_recall
0.6479076479076479 [0.787879,0.507937]
unweighted_recall
0.6717267552182163 [0.617647,0.725806]
unweighted_recall
0.715370018975332 [0.882353,0.548387]
unweighted_recall
0.6681329423264907 [0.787879,0.548387]
unweighted_recall
0.6842619745845553 [0.787879,0.580645]
wall_clock_time_millis
4282.355546951294
wall_clock_time_millis
561.6743564605713
wall_clock_time_millis
572.4842548370361
wall_clock_time_millis
552.2782802581787
wall_clock_time_millis
557.7363967895508
wall_clock_time_millis
556.9899082183838
wall_clock_time_millis
557.4395656585693
wall_clock_time_millis
551.3842105865479
wall_clock_time_millis
551.3262748718262
wall_clock_time_millis
557.4190616607666
wall_clock_time_millis_testing
8.764982223510742
wall_clock_time_millis_testing
5.984783172607422
wall_clock_time_millis_testing
7.500410079956055
wall_clock_time_millis_testing
4.987001419067383
wall_clock_time_millis_testing
4.986763000488281
wall_clock_time_millis_testing
8.930683135986328
wall_clock_time_millis_testing
4.987001419067383
wall_clock_time_millis_testing
4.991292953491211
wall_clock_time_millis_testing
5.9833526611328125
wall_clock_time_millis_testing
5.758523941040039
wall_clock_time_millis_training
4273.590564727783
wall_clock_time_millis_training
555.6895732879639
wall_clock_time_millis_training
564.9838447570801
wall_clock_time_millis_training
547.2912788391113
wall_clock_time_millis_training
552.7496337890625
wall_clock_time_millis_training
548.0592250823975
wall_clock_time_millis_training
552.452564239502
wall_clock_time_millis_training
546.3929176330566
wall_clock_time_millis_training
545.3429222106934
wall_clock_time_millis_training
551.6605377197266
weighted_recall
0.6041666666666666 [0.727273,0.539683]
weighted_recall
0.5833333333333334 [0.878788,0.428571]
weighted_recall
0.7083333333333334 [0.727273,0.698413]
weighted_recall
0.6979166666666666 [0.848485,0.619048]
weighted_recall
0.78125 [0.727273,0.809524]
weighted_recall
0.6041666666666666 [0.787879,0.507937]
weighted_recall
0.6875 [0.617647,0.725806]
weighted_recall
0.6666666666666666 [0.882353,0.548387]
weighted_recall
0.631578947368421 [0.787879,0.548387]
weighted_recall
0.6526315789473685 [0.787879,0.580645]