10397949
8323
Heinrich Peters
49
Supervised Classification
16366
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(2)
8235959
add_indicator
false
16358
copy
true
16358
fill_value
null
16358
missing_values
NaN
16358
strategy
"most_frequent"
16358
verbose
0
16358
C
8829.986986237445
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
2.305877221785047
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
1
16360
shrinking
true
16360
tol
0.001
16360
verbose
false
16360
categorical_features
null
16365
categories
null
16365
drop
null
16365
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16365
handle_unknown
"ignore"
16365
n_values
null
16365
sparse
true
16365
memory
null
16366
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"}}]
16366
verbose
false
16366
openml-python
Sklearn_0.21.2.
50
tic-tac-toe
https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff
-1
21717643
description
https://api.openml.org/data/download/21717643/description.xml
-1
21717644
predictions
https://api.openml.org/data/download/21717644/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
200.3420000000915
usercpu_time_millis
201.2060000015481
usercpu_time_millis
200.04599999811035
usercpu_time_millis
194.05600000027334
usercpu_time_millis
211.69000000372762
usercpu_time_millis
203.82400000380585
usercpu_time_millis
190.10200000047917
usercpu_time_millis
187.90199999784818
usercpu_time_millis
182.89999999979045
usercpu_time_millis
185.7799999997951
usercpu_time_millis_testing
19.04400000057649
usercpu_time_millis_testing
25.0560000022233
usercpu_time_millis_testing
22.293999998510117
usercpu_time_millis_testing
13.93600000301376
usercpu_time_millis_testing
12.634000002435641
usercpu_time_millis_testing
21.88400000159163
usercpu_time_millis_testing
17.631999999139225
usercpu_time_millis_testing
20.885999998426996
usercpu_time_millis_testing
18.9539999992121
usercpu_time_millis_testing
19.005999998626066
usercpu_time_millis_training
181.297999999515
usercpu_time_millis_training
176.1499999993248
usercpu_time_millis_training
177.75199999960023
usercpu_time_millis_training
180.11999999725958
usercpu_time_millis_training
199.05600000129198
usercpu_time_millis_training
181.94000000221422
usercpu_time_millis_training
172.47000000133994
usercpu_time_millis_training
167.01599999942118
usercpu_time_millis_training
163.94600000057835
usercpu_time_millis_training
166.77400000116904
wall_clock_time_millis
111.28473281860352
wall_clock_time_millis
129.88662719726562
wall_clock_time_millis
127.23779678344727
wall_clock_time_millis
113.83819580078125
wall_clock_time_millis
133.79693031311035
wall_clock_time_millis
128.2351016998291
wall_clock_time_millis
111.7098331451416
wall_clock_time_millis
120.68390846252441
wall_clock_time_millis
99.49731826782227
wall_clock_time_millis
127.27904319763184
wall_clock_time_millis_testing
10.57887077331543
wall_clock_time_millis_testing
13.424873352050781
wall_clock_time_millis_testing
11.511087417602539
wall_clock_time_millis_testing
8.185148239135742
wall_clock_time_millis_testing
6.323099136352539
wall_clock_time_millis_testing
14.7552490234375
wall_clock_time_millis_testing
11.394739151000977
wall_clock_time_millis_testing
12.584924697875977
wall_clock_time_millis_testing
11.878252029418945
wall_clock_time_millis_testing
17.08197593688965
wall_clock_time_millis_training
100.70586204528809
wall_clock_time_millis_training
116.46175384521484
wall_clock_time_millis_training
115.72670936584473
wall_clock_time_millis_training
105.65304756164551
wall_clock_time_millis_training
127.47383117675781
wall_clock_time_millis_training
113.4798526763916
wall_clock_time_millis_training
100.31509399414062
wall_clock_time_millis_training
108.09898376464844
wall_clock_time_millis_training
87.61906623840332
wall_clock_time_millis_training
110.19706726074219