10366114
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)
8221467
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
C
1.0827206202000408
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.012405921979379314
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
34355
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
21653933
description
https://api.openml.org/data/download/21653933/description.xml
-1
21653934
predictions
https://api.openml.org/data/download/21653934/predictions.arff
area_under_roc_curve
0.692905808537665 [0.692906,0.692906]
average_cost
0
f_measure
0.7496645211635006 [0.56917,0.84539]
kappa
0.43435207956404465
kb_relative_information_score
0.4764013179559906
mean_absolute_error
0.22755741127348644
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.7835557158577203 [0.827586,0.760204]
predictive_accuracy
0.7724425887265136
prior_entropy
0.9309543116818706
recall
0.7724425887265136 [0.433735,0.952077]
relative_absolute_error
0.5023258493310458
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.47702978027947734
root_relative_squared_error
1.0024314759897892
total_cost
0
area_under_roc_curve
0.6883116883116883 [0.688312,0.688312]
area_under_roc_curve
0.7265512265512264 [0.726551,0.726551]
area_under_roc_curve
0.6875901875901876 [0.68759,0.68759]
area_under_roc_curve
0.5974025974025974 [0.597403,0.597403]
area_under_roc_curve
0.7647907647907647 [0.764791,0.764791]
area_under_roc_curve
0.7193362193362193 [0.719336,0.719336]
area_under_roc_curve
0.6456356736242884 [0.645636,0.645636]
area_under_roc_curve
0.7699240986717267 [0.769924,0.769924]
area_under_roc_curve
0.6324535679374389 [0.632454,0.632454]
area_under_roc_curve
0.6959921798631477 [0.695992,0.695992]
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
0.7470774647887324 [0.56,0.84507]
f_measure
0.7835054234459742 [0.627451,0.865248]
f_measure
0.7422373422017103 [0.566038,0.834532]
f_measure
0.6570945945945946 [0.363636,0.810811]
f_measure
0.8192307692307693 [0.692308,0.885714]
f_measure
0.7795151277294133 [0.612245,0.867133]
f_measure
0.7002629004646613 [0.468085,0.827586]
f_measure
0.8130441845354127 [0.701754,0.874074]
f_measure
0.6855177158582731 [0.481481,0.794118]
f_measure
0.7539273716205408 [0.571429,0.851064]
kappa
0.4257748776508973
kappa
0.5080906148867315
kappa
0.41401273885350304
kappa
0.23156089193825044
kappa
0.5890850722311398
kappa
0.5000000000000001
kappa
0.338478500551268
kappa
0.5823950870010234
kappa
0.28952991452991456
kappa
0.44567935537649334
kb_relative_information_score
0.4712438642917844
kb_relative_information_score
0.5433469737065408
kb_relative_information_score
0.4472094944868656
kb_relative_information_score
0.32703764546227143
kb_relative_information_score
0.6154500831212973
kb_relative_information_score
0.5433469737065408
kb_relative_information_score
0.40523314019012174
kb_relative_information_score
0.5955585353292824
kb_relative_information_score
0.32236499529754403
kb_relative_information_score
0.49177374647315775
mean_absolute_error
0.22916666666666666
mean_absolute_error
0.19791666666666666
mean_absolute_error
0.23958333333333334
mean_absolute_error
0.2916666666666667
mean_absolute_error
0.16666666666666666
mean_absolute_error
0.19791666666666666
mean_absolute_error
0.2604166666666667
mean_absolute_error
0.17708333333333334
mean_absolute_error
0.29473684210526313
mean_absolute_error
0.22105263157894736
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
0.781505956813105 [0.823529,0.759494]
precision
0.8187767094017094 [0.888889,0.782051]
precision
0.7586348684210527 [0.75,0.763158]
precision
0.7132352941176471 [0.727273,0.705882]
precision
0.854066985645933 [0.947368,0.805195]
precision
0.8308593750000001 [0.9375,0.775]
precision
0.7665469570590053 [0.846154,0.722892]
precision
0.8299459003375026 [0.869565,0.808219]
precision
0.6912822597033124 [0.619048,0.72973]
precision
0.7996169220519654 [0.875,0.759494]
predictive_accuracy
0.7708333333333333
predictive_accuracy
0.8020833333333333
predictive_accuracy
0.7604166666666667
predictive_accuracy
0.7083333333333333
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.8020833333333333
predictive_accuracy
0.7395833333333333
predictive_accuracy
0.8229166666666667
predictive_accuracy
0.7052631578947368
predictive_accuracy
0.7789473684210526
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
0.7708333333333334 [0.424242,0.952381]
recall
0.8020833333333334 [0.484848,0.968254]
recall
0.7604166666666666 [0.454545,0.920635]
recall
0.7083333333333334 [0.242424,0.952381]
recall
0.8333333333333334 [0.545455,0.984127]
recall
0.8020833333333334 [0.454545,0.984127]
recall
0.7395833333333334 [0.323529,0.967742]
recall
0.8229166666666666 [0.588235,0.951613]
recall
0.7052631578947368 [0.393939,0.870968]
recall
0.7789473684210526 [0.424242,0.967742]
relative_absolute_error
0.5068394528437716
relative_absolute_error
0.4377249820014392
relative_absolute_error
0.529877609791216
relative_absolute_error
0.6450683945284368
relative_absolute_error
0.3686105111591067
relative_absolute_error
0.4377249820014392
relative_absolute_error
0.5719187875321696
relative_absolute_error
0.3889047755218754
relative_absolute_error
0.6502648958560119
relative_absolute_error
0.4876986718920089
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
0.47871355387816905
root_mean_squared_error
0.44487826050130463
root_mean_squared_error
0.48947250518628044
root_mean_squared_error
0.5400617248673217
root_mean_squared_error
0.408248290463863
root_mean_squared_error
0.44487826050130463
root_mean_squared_error
0.5103103630798288
root_mean_squared_error
0.4208127057650866
root_mean_squared_error
0.5428967140306369
root_mean_squared_error
0.47016234598162726
root_relative_squared_error
1.0078834459350312
root_relative_squared_error
0.9366466242352309
root_relative_squared_error
1.0305353404369075
root_relative_squared_error
1.1370458761136737
root_relative_squared_error
0.8595258907052391
root_relative_squared_error
0.9366466242352309
root_relative_squared_error
1.0668905000650017
root_relative_squared_error
0.8797804445472097
root_relative_squared_error
1.1402176789960312
root_relative_squared_error
0.9874574758546935
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
80.08151899997529
usercpu_time_millis
80.05643000001328
usercpu_time_millis
79.0872310000168
usercpu_time_millis
84.17833899994775
usercpu_time_millis
80.69035599999097
usercpu_time_millis
80.91999800001304
usercpu_time_millis
90.64109600001302
usercpu_time_millis
80.61394899999641
usercpu_time_millis
102.66129600000795
usercpu_time_millis
118.33626300000333
usercpu_time_millis_testing
7.841086999974323
usercpu_time_millis_testing
7.97110700000303
usercpu_time_millis_testing
7.928589000016473
usercpu_time_millis_testing
8.002857999997559
usercpu_time_millis_testing
8.128322999993998
usercpu_time_millis_testing
8.339740999986134
usercpu_time_millis_testing
8.063066000033814
usercpu_time_millis_testing
8.060139999997773
usercpu_time_millis_testing
13.052458999993632
usercpu_time_millis_testing
12.60216200000741
usercpu_time_millis_training
72.24043200000096
usercpu_time_millis_training
72.08532300001025
usercpu_time_millis_training
71.15864200000033
usercpu_time_millis_training
76.1754809999502
usercpu_time_millis_training
72.56203299999697
usercpu_time_millis_training
72.5802570000269
usercpu_time_millis_training
82.57802999997921
usercpu_time_millis_training
72.55380899999864
usercpu_time_millis_training
89.60883700001432
usercpu_time_millis_training
105.73410099999592
wall_clock_time_millis
80.09028434753418
wall_clock_time_millis
80.06930351257324
wall_clock_time_millis
79.09822463989258
wall_clock_time_millis
84.18679237365723
wall_clock_time_millis
80.71160316467285
wall_clock_time_millis
80.92999458312988
wall_clock_time_millis
90.6534194946289
wall_clock_time_millis
80.62338829040527
wall_clock_time_millis
102.69451141357422
wall_clock_time_millis
118.3478832244873
wall_clock_time_millis_testing
7.846355438232422
wall_clock_time_millis_testing
7.978200912475586
wall_clock_time_millis_testing
7.9345703125
wall_clock_time_millis_testing
8.00776481628418
wall_clock_time_millis_testing
8.134126663208008
wall_clock_time_millis_testing
8.346080780029297
wall_clock_time_millis_testing
8.069992065429688
wall_clock_time_millis_testing
8.06570053100586
wall_clock_time_millis_testing
13.079643249511719
wall_clock_time_millis_testing
12.609720230102539
wall_clock_time_millis_training
72.24392890930176
wall_clock_time_millis_training
72.09110260009766
wall_clock_time_millis_training
71.16365432739258
wall_clock_time_millis_training
76.17902755737305
wall_clock_time_millis_training
72.57747650146484
wall_clock_time_millis_training
72.58391380310059
wall_clock_time_millis_training
82.58342742919922
wall_clock_time_millis_training
72.55768775939941
wall_clock_time_millis_training
89.6148681640625
wall_clock_time_millis_training
105.73816299438477