10424937
8323
Heinrich Peters
49
Supervised Classification
16347
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(1)
8256066
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
C
513.6546159384284
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.16364828944715204
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.3170962383864124
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
true
13389
random_state
1
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16347
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16347
verbose
false
16347
categorical_features
null
16348
categories
null
16348
drop
null
16348
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16348
handle_unknown
"ignore"
16348
n_values
null
16348
sparse
true
16348
openml-python
Sklearn_0.21.2.
50
tic-tac-toe
https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff
-1
21772389
description
https://api.openml.org/data/download/21772389/description.xml
-1
21772390
predictions
https://api.openml.org/data/download/21772390/predictions.arff
area_under_roc_curve
0.9998508410639363 [0.999851,0.999851]
average_cost
0
f_measure
0.9926744980933483 [0.989346,0.99444]
kappa
0.9837865021300464
kb_relative_information_score
0.9736980067317391
mean_absolute_error
0.01329919722769516
mean_prior_absolute_error
0.45300756784968915
weighted_recall
0.9926931106471816 [0.978916,1]
number_of_instances
958 [332,626]
precision
0.9927739135310201 [1,0.988942]
predictive_accuracy
0.9926931106471817
prior_entropy
0.9309543116818706
relative_absolute_error
0.029357560825800422
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.06937088084062798
root_relative_squared_error
0.14577612833949563
total_cost
0
unweighted_recall
0.9894578313253012 [0.978916,1]
area_under_roc_curve
0.9990379990379991 [0.999038,0.999038]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9995189995189996 [0.999519,0.999519]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
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
0.97900390625 [0.96875,0.984375]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.9895442156268928 [0.984615,0.992126]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.989547263681592 [0.985075,0.992]
f_measure
0.979016354016354 [0.969697,0.984127]
f_measure
0.9894348178137651 [0.984615,0.992]
f_measure
1 [1,1]
kappa
0.953147877013177
kappa
1
kappa
1
kappa
0.9767441860465117
kappa
1
kappa
1
kappa
0.9770773638968482
kappa
0.9538461538461538
kappa
0.9766182623677085
kappa
1
kb_relative_information_score
0.9452597710155088
kb_relative_information_score
0.9925273400449106
kb_relative_information_score
0.991338039189549
kb_relative_information_score
0.9503219512934687
kb_relative_information_score
0.9777009923412046
kb_relative_information_score
0.9842392507759935
kb_relative_information_score
0.9796352204566493
kb_relative_information_score
0.9602215754464541
kb_relative_information_score
0.9637820211321837
kb_relative_information_score
0.992089575825749
mean_absolute_error
0.024909747151164105
mean_absolute_error
0.004530831089617374
mean_absolute_error
0.0053627497208112085
mean_absolute_error
0.02292245639416605
mean_absolute_error
0.012995534402907476
mean_absolute_error
0.009303471889171173
mean_absolute_error
0.010643526633362913
mean_absolute_error
0.019402713643882224
mean_absolute_error
0.017864805775486284
mean_absolute_error
0.005017425543713942
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
0.9798076923076923 [1,0.969231]
precision
1 [1,1]
precision
1 [1,1]
precision
0.98974609375 [1,0.984375]
precision
1 [1,1]
precision
1 [1,1]
precision
0.9897486772486772 [1,0.984127]
precision
0.9798177083333334 [1,0.96875]
precision
0.989640768588137 [1,0.984127]
precision
1 [1,1]
predictive_accuracy
0.9791666666666667
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9895833333333333
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9895833333333333
predictive_accuracy
0.9791666666666667
predictive_accuracy
0.9894736842105263
predictive_accuracy
1
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
0.05509196778140822
relative_absolute_error
0.010020671783516597
relative_absolute_error
0.01186059549483946
relative_absolute_error
0.0506967502108553
relative_absolute_error
0.02874174347424889
relative_absolute_error
0.0205761451717306
relative_absolute_error
0.023374974133322002
relative_absolute_error
0.04261162161424514
relative_absolute_error
0.03941433308475087
relative_absolute_error
0.011069724691842921
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
0.1245322809711862
root_mean_squared_error
0.02191929324602536
root_mean_squared_error
0.019556720439229867
root_mean_squared_error
0.10142559289870187
root_mean_squared_error
0.047468130789543865
root_mean_squared_error
0.03772629907766992
root_mean_squared_error
0.05726420854806253
root_mean_squared_error
0.08786417475705346
root_mean_squared_error
0.08114591515185685
root_mean_squared_error
0.013210697946722152
root_relative_squared_error
0.2621902460429009
root_relative_squared_error
0.04614887677670989
root_relative_squared_error
0.04117471633672484
root_relative_squared_error
0.21354142837318374
root_relative_squared_error
0.09993939558359764
root_relative_squared_error
0.07942894453006118
root_relative_squared_error
0.11972055539877767
root_relative_squared_error
0.18369498275246143
root_relative_squared_error
0.17042653720913437
root_relative_squared_error
0.02774574050908535
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
0.9696969696969697 [0.939394,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9848484848484849 [0.969697,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9852941176470589 [0.970588,1]
unweighted_recall
0.9705882352941176 [0.941176,1]
unweighted_recall
0.9848484848484849 [0.969697,1]
unweighted_recall
1 [1,1]
usercpu_time_millis
459.31006399996477
usercpu_time_millis
464.9297880000631
usercpu_time_millis
462.8699120000874
usercpu_time_millis
453.72252700008175
usercpu_time_millis
456.19574600004853
usercpu_time_millis
452.16263500014975
usercpu_time_millis
452.3747359999106
usercpu_time_millis
453.58596899973236
usercpu_time_millis
449.9154479999561
usercpu_time_millis
452.45421799972974
usercpu_time_millis_testing
9.089300999903571
usercpu_time_millis_testing
8.936118000065107
usercpu_time_millis_testing
8.888385000091148
usercpu_time_millis_testing
8.626044000038746
usercpu_time_millis_testing
8.690543000057005
usercpu_time_millis_testing
8.76115000005484
usercpu_time_millis_testing
8.670900999959485
usercpu_time_millis_testing
8.663943999863477
usercpu_time_millis_testing
8.431491000010283
usercpu_time_millis_testing
8.596542999839585
usercpu_time_millis_training
450.2207630000612
usercpu_time_millis_training
455.993669999998
usercpu_time_millis_training
453.9815269999963
usercpu_time_millis_training
445.096483000043
usercpu_time_millis_training
447.5052029999915
usercpu_time_millis_training
443.4014850000949
usercpu_time_millis_training
443.70383499995114
usercpu_time_millis_training
444.9220249998689
usercpu_time_millis_training
441.4839569999458
usercpu_time_millis_training
443.85767499989015
wall_clock_time_millis
459.31410789489746
wall_clock_time_millis
464.935302734375
wall_clock_time_millis
462.8756046295166
wall_clock_time_millis
453.73010635375977
wall_clock_time_millis
456.2232494354248
wall_clock_time_millis
452.17251777648926
wall_clock_time_millis
452.3782730102539
wall_clock_time_millis
453.59182357788086
wall_clock_time_millis
449.97715950012207
wall_clock_time_millis
452.45957374572754
wall_clock_time_millis_testing
9.092092514038086
wall_clock_time_millis_testing
8.938312530517578
wall_clock_time_millis_testing
8.890867233276367
wall_clock_time_millis_testing
8.631467819213867
wall_clock_time_millis_testing
8.692502975463867
wall_clock_time_millis_testing
8.763551712036133
wall_clock_time_millis_testing
8.673429489135742
wall_clock_time_millis_testing
8.666038513183594
wall_clock_time_millis_testing
8.43358039855957
wall_clock_time_millis_testing
8.599042892456055
wall_clock_time_millis_training
450.2220153808594
wall_clock_time_millis_training
455.9969902038574
wall_clock_time_millis_training
453.98473739624023
wall_clock_time_millis_training
445.0986385345459
wall_clock_time_millis_training
447.53074645996094
wall_clock_time_millis_training
443.4089660644531
wall_clock_time_millis_training
443.70484352111816
wall_clock_time_millis_training
444.92578506469727
wall_clock_time_millis_training
441.5435791015625
wall_clock_time_millis_training
443.8605308532715
weighted_recall
0.9791666666666666 [0.939394,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9895833333333334 [0.969697,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9895833333333334 [0.970588,1]
weighted_recall
0.9791666666666666 [0.941176,1]
weighted_recall
0.9894736842105263 [0.969697,1]
weighted_recall
1 [1,1]