10366108
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)
8221461
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
C
2.1952612603322996
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.08285835069252112
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
5.217284431214832
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
42687
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
21653921
description
https://api.openml.org/data/download/21653921/description.xml
-1
21653922
predictions
https://api.openml.org/data/download/21653922/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
0.20259283285041513
mean_absolute_error
0.3465553235908142
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
predictive_accuracy
0.6534446764091858
prior_entropy
0.9309543116818706
recall
0.6534446764091858 [0,1]
relative_absolute_error
0.7650100090729687
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.5886894967559845
root_relative_squared_error
1.2370734606695912
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
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
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
0.20686579643767725
kb_relative_information_score
0.20686579643767725
kb_relative_information_score
0.20686579643767725
kb_relative_information_score
0.20686579643767725
kb_relative_information_score
0.20686579643767725
kb_relative_information_score
0.20686579643767725
kb_relative_information_score
0.19111707065856604
kb_relative_information_score
0.19111707065856604
kb_relative_information_score
0.20135874445781998
kb_relative_information_score
0.20135874445781998
mean_absolute_error
0.34375
mean_absolute_error
0.34375
mean_absolute_error
0.34375
mean_absolute_error
0.34375
mean_absolute_error
0.34375
mean_absolute_error
0.34375
mean_absolute_error
0.3541666666666667
mean_absolute_error
0.3541666666666667
mean_absolute_error
0.3473684210526316
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]
predictive_accuracy
0.65625
predictive_accuracy
0.65625
predictive_accuracy
0.65625
predictive_accuracy
0.65625
predictive_accuracy
0.65625
predictive_accuracy
0.65625
predictive_accuracy
0.6458333333333333
predictive_accuracy
0.6458333333333333
predictive_accuracy
0.6526315789473683
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
0.65625 [0,1]
recall
0.65625 [0,1]
recall
0.65625 [0,1]
recall
0.65625 [0,1]
recall
0.65625 [0,1]
recall
0.65625 [0,1]
recall
0.6458333333333334 [0,1]
recall
0.6458333333333334 [0,1]
recall
0.6526315789473685 [0,1]
recall
0.6526315789473685 [0,1]
relative_absolute_error
0.7602591792656577
relative_absolute_error
0.7602591792656577
relative_absolute_error
0.7602591792656577
relative_absolute_error
0.7602591792656577
relative_absolute_error
0.7602591792656577
relative_absolute_error
0.7602591792656577
relative_absolute_error
0.7778095510437508
relative_absolute_error
0.7778095510437508
relative_absolute_error
0.7663836272588712
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
0.5863019699779287
root_mean_squared_error
0.5863019699779287
root_mean_squared_error
0.5863019699779287
root_mean_squared_error
0.5863019699779287
root_mean_squared_error
0.5863019699779287
root_mean_squared_error
0.5863019699779287
root_mean_squared_error
0.5951190357119042
root_mean_squared_error
0.5951190357119042
root_mean_squared_error
0.5893796917545019
root_mean_squared_error
0.5893796917545019
root_relative_squared_error
1.2344000813694114
root_relative_squared_error
1.2344000813694114
root_relative_squared_error
1.2344000813694114
root_relative_squared_error
1.2344000813694114
root_relative_squared_error
1.2344000813694114
root_relative_squared_error
1.2344000813694114
root_relative_squared_error
1.2441974365892945
root_relative_squared_error
1.2441974365892945
root_relative_squared_error
1.237843454955579
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
192.79959199997165
usercpu_time_millis
132.7137600000583
usercpu_time_millis
127.0050720000313
usercpu_time_millis
127.5408440000092
usercpu_time_millis
129.49954000004027
usercpu_time_millis
128.01850300002116
usercpu_time_millis
161.17406800003664
usercpu_time_millis
128.55795500007616
usercpu_time_millis
129.75635899999816
usercpu_time_millis
132.99146499997505
usercpu_time_millis_testing
16.522942999984025
usercpu_time_millis_testing
10.556322000013552
usercpu_time_millis_testing
10.689162999995006
usercpu_time_millis_testing
10.686561999989408
usercpu_time_millis_testing
10.939726999993127
usercpu_time_millis_testing
10.730491999993319
usercpu_time_millis_testing
15.75539300000628
usercpu_time_millis_testing
10.666460000038569
usercpu_time_millis_testing
10.776410000005399
usercpu_time_millis_testing
10.679633999984617
usercpu_time_millis_training
176.27664899998763
usercpu_time_millis_training
122.15743800004475
usercpu_time_millis_training
116.3159090000363
usercpu_time_millis_training
116.8542820000198
usercpu_time_millis_training
118.55981300004714
usercpu_time_millis_training
117.28801100002784
usercpu_time_millis_training
145.41867500003036
usercpu_time_millis_training
117.8914950000376
usercpu_time_millis_training
118.97994899999276
usercpu_time_millis_training
122.31183099999043
wall_clock_time_millis
193.9103603363037
wall_clock_time_millis
132.7221393585205
wall_clock_time_millis
127.01702117919922
wall_clock_time_millis
127.54940986633301
wall_clock_time_millis
129.6713352203369
wall_clock_time_millis
128.11779975891113
wall_clock_time_millis
161.23247146606445
wall_clock_time_millis
128.6296844482422
wall_clock_time_millis
129.90355491638184
wall_clock_time_millis
133.18753242492676
wall_clock_time_millis_testing
16.644001007080078
wall_clock_time_millis_testing
10.560750961303711
wall_clock_time_millis_testing
10.69498062133789
wall_clock_time_millis_testing
10.692834854125977
wall_clock_time_millis_testing
10.989665985107422
wall_clock_time_millis_testing
10.73598861694336
wall_clock_time_millis_testing
15.762567520141602
wall_clock_time_millis_testing
10.672330856323242
wall_clock_time_millis_testing
10.782480239868164
wall_clock_time_millis_testing
10.686635971069336
wall_clock_time_millis_training
177.26635932922363
wall_clock_time_millis_training
122.1613883972168
wall_clock_time_millis_training
116.32204055786133
wall_clock_time_millis_training
116.85657501220703
wall_clock_time_millis_training
118.68166923522949
wall_clock_time_millis_training
117.38181114196777
wall_clock_time_millis_training
145.46990394592285
wall_clock_time_millis_training
117.95735359191895
wall_clock_time_millis_training
119.12107467651367
wall_clock_time_millis_training
122.50089645385742