10331161
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)
8186728
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
C
1.68536554317688
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.2168646578884883
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0008080068502590277
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
56622
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
21584021
description
https://api.openml.org/data/download/21584021/description.xml
-1
21584022
predictions
https://api.openml.org/data/download/21584022/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
95.54703799994968
usercpu_time_millis
94.5643929999278
usercpu_time_millis
94.51028099999803
usercpu_time_millis
94.54655100012133
usercpu_time_millis
96.75945399999364
usercpu_time_millis
95.25723800004471
usercpu_time_millis
96.05502800002341
usercpu_time_millis
96.97175400003744
usercpu_time_millis
96.9055829999661
usercpu_time_millis
97.6693619999196
usercpu_time_millis_testing
9.519218999912482
usercpu_time_millis_testing
9.390764999920975
usercpu_time_millis_testing
9.422442999948544
usercpu_time_millis_testing
9.317977000023348
usercpu_time_millis_testing
9.452229999965311
usercpu_time_millis_testing
9.486117000051308
usercpu_time_millis_testing
9.760881000033805
usercpu_time_millis_testing
9.947796000005837
usercpu_time_millis_testing
9.64836599996488
usercpu_time_millis_testing
9.86043399996106
usercpu_time_millis_training
86.0278190000372
usercpu_time_millis_training
85.17362800000683
usercpu_time_millis_training
85.08783800004949
usercpu_time_millis_training
85.22857400009798
usercpu_time_millis_training
87.30722400002833
usercpu_time_millis_training
85.7711209999934
usercpu_time_millis_training
86.29414699998961
usercpu_time_millis_training
87.0239580000316
usercpu_time_millis_training
87.25721700000122
usercpu_time_millis_training
87.80892799995854
wall_clock_time_millis
95.76845169067383
wall_clock_time_millis
94.60306167602539
wall_clock_time_millis
94.61092948913574
wall_clock_time_millis
94.5882797241211
wall_clock_time_millis
97.20659255981445
wall_clock_time_millis
95.27873992919922
wall_clock_time_millis
144.1061496734619
wall_clock_time_millis
97.04995155334473
wall_clock_time_millis
97.0008373260498
wall_clock_time_millis
97.74446487426758
wall_clock_time_millis_testing
9.529829025268555
wall_clock_time_millis_testing
9.401798248291016
wall_clock_time_millis_testing
9.432315826416016
wall_clock_time_millis_testing
9.328603744506836
wall_clock_time_millis_testing
9.867668151855469
wall_clock_time_millis_testing
9.495973587036133
wall_clock_time_millis_testing
9.770631790161133
wall_clock_time_millis_testing
9.957551956176758
wall_clock_time_millis_testing
9.657621383666992
wall_clock_time_millis_testing
9.870529174804688
wall_clock_time_millis_training
86.23862266540527
wall_clock_time_millis_training
85.20126342773438
wall_clock_time_millis_training
85.17861366271973
wall_clock_time_millis_training
85.25967597961426
wall_clock_time_millis_training
87.33892440795898
wall_clock_time_millis_training
85.78276634216309
wall_clock_time_millis_training
134.33551788330078
wall_clock_time_millis_training
87.09239959716797
wall_clock_time_millis_training
87.34321594238281
wall_clock_time_millis_training
87.87393569946289