10319526
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)
8175231
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
C
3.799484997724178
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.9654292525571357
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.050861485762035544
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
19694
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
21560738
description
https://api.openml.org/data/download/21560738/description.xml
-1
21560739
predictions
https://api.openml.org/data/download/21560739/predictions.arff
area_under_roc_curve
0.5864688787097272 [0.586469,0.586469]
average_cost
0
f_measure
0.6240794895557827 [0.461997,0.71004]
kappa
0.17208574123460094
kb_relative_information_score
0.13293979716566237
mean_absolute_error
0.3768267223382046
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.625049889896256 [0.457227,0.714055]
predictive_accuracy
0.6231732776617954
prior_entropy
0.9309543116818706
recall
0.6231732776617954 [0.466867,0.70607]
relative_absolute_error
0.8318331725160895
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.6138621362636766
root_relative_squared_error
1.2899713031511881
total_cost
0
area_under_roc_curve
0.5772005772005772 [0.577201,0.577201]
area_under_roc_curve
0.5670995670995671 [0.5671,0.5671]
area_under_roc_curve
0.562049062049062 [0.562049,0.562049]
area_under_roc_curve
0.5007215007215007 [0.500722,0.500722]
area_under_roc_curve
0.5988455988455988 [0.598846,0.598846]
area_under_roc_curve
0.6233766233766234 [0.623377,0.623377]
area_under_roc_curve
0.6238140417457304 [0.623814,0.623814]
area_under_roc_curve
0.6408918406072106 [0.640892,0.640892]
area_under_roc_curve
0.5630498533724341 [0.56305,0.56305]
area_under_roc_curve
0.6063049853372434 [0.606305,0.606305]
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
0.6220703125000001 [0.4375,0.71875]
f_measure
0.5917315620705452 [0.459459,0.661017]
f_measure
0.6098883351790328 [0.412698,0.713178]
f_measure
0.5551178660049628 [0.322581,0.676923]
f_measure
0.6295667447306791 [0.485714,0.704918]
f_measure
0.6640625 [0.5,0.75]
f_measure
0.6671828723981146 [0.491803,0.763359]
f_measure
0.6608006216185104 [0.547945,0.722689]
f_measure
0.5782420653403421 [0.467532,0.637168]
f_measure
0.648463678882245 [0.47619,0.740157]
kappa
0.15666178623718893
kappa
0.12687585266030016
kappa
0.12684365781710924
kappa
0.0014858841010400344
kappa
0.19214586255259475
kappa
0.25036603221083453
kappa
0.25970149253731345
kappa
0.2727272727272727
kappa
0.11698027658127401
kappa
0.21722846441947566
kb_relative_information_score
0.13476268702292066
kb_relative_information_score
0.03862520780324542
kb_relative_information_score
0.11072831721800179
kb_relative_information_score
-0.009443531806592298
kb_relative_information_score
0.1347626870229207
kb_relative_information_score
0.23090016624259604
kb_relative_information_score
0.26248909383575114
kb_relative_information_score
0.21490774505096102
kb_relative_information_score
0.007748743114261556
kb_relative_information_score
0.2013587444578199
mean_absolute_error
0.375
mean_absolute_error
0.4166666666666667
mean_absolute_error
0.3854166666666667
mean_absolute_error
0.4375
mean_absolute_error
0.375
mean_absolute_error
0.3333333333333333
mean_absolute_error
0.3229166666666667
mean_absolute_error
0.34375
mean_absolute_error
0.43157894736842106
mean_absolute_error
0.3473684210526316
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
0.6196650124069479 [0.451613,0.707692]
precision
0.6078713968957871 [0.414634,0.709091]
precision
0.6063446969696971 [0.433333,0.69697]
precision
0.5495046320123521 [0.344828,0.656716]
precision
0.6362230874942739 [0.459459,0.728814]
precision
0.6620347394540943 [0.516129,0.738462]
precision
0.6647544283413849 [0.555556,0.724638]
precision
0.6688315339631129 [0.512821,0.754386]
precision
0.6027863777089784 [0.409091,0.705882]
precision
0.645587044534413 [0.5,0.723077]
predictive_accuracy
0.625
predictive_accuracy
0.5833333333333334
predictive_accuracy
0.6145833333333334
predictive_accuracy
0.5625
predictive_accuracy
0.625
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.6770833333333333
predictive_accuracy
0.65625
predictive_accuracy
0.5684210526315789
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
recall
0.625 [0.424242,0.730159]
recall
0.5833333333333334 [0.515152,0.619048]
recall
0.6145833333333334 [0.393939,0.730159]
recall
0.5625 [0.30303,0.698413]
recall
0.625 [0.515152,0.68254]
recall
0.6666666666666666 [0.484848,0.761905]
recall
0.6770833333333334 [0.441176,0.806452]
recall
0.65625 [0.588235,0.693548]
recall
0.5684210526315789 [0.545455,0.580645]
recall
0.6526315789473685 [0.454545,0.758065]
relative_absolute_error
0.8293736501079901
relative_absolute_error
0.9215262778977669
relative_absolute_error
0.8524118070554344
relative_absolute_error
0.9676025917926552
relative_absolute_error
0.8293736501079901
relative_absolute_error
0.7372210223182134
relative_absolute_error
0.7091792965398905
relative_absolute_error
0.754932799542464
relative_absolute_error
0.9521735975034461
relative_absolute_error
0.7663836272588712
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
0.6123724356957945
root_mean_squared_error
0.6454972243679028
root_mean_squared_error
0.6208193510729725
root_mean_squared_error
0.6614378277661477
root_mean_squared_error
0.6123724356957945
root_mean_squared_error
0.5773502691896257
root_mean_squared_error
0.568257570707744
root_mean_squared_error
0.5863019699779287
root_mean_squared_error
0.6569466853317864
root_mean_squared_error
0.5893796917545019
root_relative_squared_error
1.2892888360578587
root_relative_squared_error
1.3590297612567528
root_relative_squared_error
1.307072970450758
root_relative_squared_error
1.3925911053071778
root_relative_squared_error
1.2892888360578587
root_relative_squared_error
1.2155531718461638
root_relative_squared_error
1.1880389810607634
root_relative_squared_error
1.2257638629239376
root_relative_squared_error
1.3797508907576002
root_relative_squared_error
1.237843454955579
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
59.948833000021295
usercpu_time_millis
59.71324999995886
usercpu_time_millis
66.80323299997326
usercpu_time_millis
59.99122200000784
usercpu_time_millis
59.155708000048435
usercpu_time_millis
58.56802100004188
usercpu_time_millis
56.52444800000467
usercpu_time_millis
59.35886300005677
usercpu_time_millis
63.7290849999772
usercpu_time_millis
64.37872300000436
usercpu_time_millis_testing
6.961430000046676
usercpu_time_millis_testing
6.472422999991068
usercpu_time_millis_testing
6.812730999968153
usercpu_time_millis_testing
6.711784000003718
usercpu_time_millis_testing
6.76636800005781
usercpu_time_millis_testing
6.8876860000273155
usercpu_time_millis_testing
6.398138000008657
usercpu_time_millis_testing
6.898041999988891
usercpu_time_millis_testing
6.66804399998
usercpu_time_millis_testing
6.417500999987169
usercpu_time_millis_training
52.98740299997462
usercpu_time_millis_training
53.240826999967794
usercpu_time_millis_training
59.99050200000511
usercpu_time_millis_training
53.27943800000412
usercpu_time_millis_training
52.389339999990625
usercpu_time_millis_training
51.680335000014566
usercpu_time_millis_training
50.12630999999601
usercpu_time_millis_training
52.46082100006788
usercpu_time_millis_training
57.0610409999972
usercpu_time_millis_training
57.96122200001719
wall_clock_time_millis
60.068607330322266
wall_clock_time_millis
60.089826583862305
wall_clock_time_millis
66.8792724609375
wall_clock_time_millis
60.00971794128418
wall_clock_time_millis
59.172868728637695
wall_clock_time_millis
58.58254432678223
wall_clock_time_millis
56.54311180114746
wall_clock_time_millis
59.411048889160156
wall_clock_time_millis
63.845157623291016
wall_clock_time_millis
64.46480751037598
wall_clock_time_millis_testing
6.9713592529296875
wall_clock_time_millis_testing
6.481409072875977
wall_clock_time_millis_testing
6.820440292358398
wall_clock_time_millis_testing
6.722927093505859
wall_clock_time_millis_testing
6.776571273803711
wall_clock_time_millis_testing
6.896018981933594
wall_clock_time_millis_testing
6.407499313354492
wall_clock_time_millis_testing
6.907939910888672
wall_clock_time_millis_testing
6.67572021484375
wall_clock_time_millis_testing
6.434202194213867
wall_clock_time_millis_training
53.09724807739258
wall_clock_time_millis_training
53.60841751098633
wall_clock_time_millis_training
60.0588321685791
wall_clock_time_millis_training
53.28679084777832
wall_clock_time_millis_training
52.396297454833984
wall_clock_time_millis_training
51.68652534484863
wall_clock_time_millis_training
50.13561248779297
wall_clock_time_millis_training
52.503108978271484
wall_clock_time_millis_training
57.169437408447266
wall_clock_time_millis_training
58.03060531616211