10397975
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)
8235804
add_indicator
false
16358
copy
true
16358
fill_value
null
16358
missing_values
NaN
16358
strategy
"most_frequent"
16358
verbose
0
16358
C
1479.684750929223
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.9352863440122492
16360
decision_function_shape
"ovr"
16360
degree
1
16360
gamma
5.9403103232131136e-05
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
21717695
description
https://api.openml.org/data/download/21717695/description.xml
-1
21717696
predictions
https://api.openml.org/data/download/21717696/predictions.arff
area_under_roc_curve
0.9759036144578314 [0.975904,0.975904]
average_cost
0
f_measure
0.983197719736996 [0.975309,0.987382]
kappa
0.9627019661280903
kb_relative_information_score
0.9615707389325503
mean_absolute_error
0.016701461377870562
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.9837147744197088 [1,0.975078]
predictive_accuracy
0.9832985386221295
prior_entropy
0.9309543116818706
recall
0.9832985386221295 [0.951807,1]
relative_absolute_error
0.03686795224448042
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.1292341339502477
root_relative_squared_error
0.2715729059265659
total_cost
0
area_under_roc_curve
0.9393939393939394 [0.939394,0.939394]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9696969696969697 [0.969697,0.969697]
area_under_roc_curve
0.9848484848484849 [0.984848,0.984848]
area_under_roc_curve
0.9696969696969697 [0.969697,0.969697]
area_under_roc_curve
0.9705882352941178 [0.970588,0.970588]
area_under_roc_curve
0.9705882352941178 [0.970588,0.970588]
area_under_roc_curve
0.9696969696969697 [0.969697,0.969697]
area_under_roc_curve
0.9848484848484849 [0.984848,0.984848]
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
0.9576302729528535 [0.935484,0.969231]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.97900390625 [0.96875,0.984375]
f_measure
0.9895442156268928 [0.984615,0.992126]
f_measure
0.97900390625 [0.96875,0.984375]
f_measure
0.979016354016354 [0.969697,0.984127]
f_measure
0.979016354016354 [0.969697,0.984127]
f_measure
0.9787855054302422 [0.96875,0.984127]
f_measure
0.9894348178137651 [0.984615,0.992]
kappa
0.9049034175334325
kappa
1
kappa
1
kappa
0.953147877013177
kappa
0.9767441860465117
kappa
0.953147877013177
kappa
0.9538461538461538
kappa
0.9538461538461538
kappa
0.9529003470500744
kappa
0.9766182623677085
kb_relative_information_score
0.9038625207803244
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
0.9519312603901624
kb_relative_information_score
0.9759656301950811
kb_relative_information_score
0.951931260390162
kb_relative_information_score
0.9524186512152097
kb_relative_information_score
0.9524186512152097
kb_relative_information_score
0.9515974996641101
kb_relative_information_score
0.975798749832055
mean_absolute_error
0.041666666666666664
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0.020833333333333332
mean_absolute_error
0.010416666666666666
mean_absolute_error
0.020833333333333332
mean_absolute_error
0.020833333333333332
mean_absolute_error
0.020833333333333332
mean_absolute_error
0.021052631578947368
mean_absolute_error
0.010526315789473684
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
0.9608208955223881 [1,0.940299]
precision
1 [1,1]
precision
1 [1,1]
precision
0.9798076923076923 [1,0.969231]
precision
0.98974609375 [1,0.984375]
precision
0.9798076923076923 [1,0.969231]
precision
0.9798177083333334 [1,0.96875]
precision
0.9798177083333334 [1,0.96875]
precision
0.9796052631578948 [1,0.96875]
precision
0.989640768588137 [1,0.984127]
predictive_accuracy
0.9583333333333333
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9791666666666667
predictive_accuracy
0.9895833333333333
predictive_accuracy
0.9791666666666667
predictive_accuracy
0.9791666666666667
predictive_accuracy
0.9791666666666667
predictive_accuracy
0.9789473684210526
predictive_accuracy
0.9894736842105263
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
0.9583333333333334 [0.878788,1]
recall
1 [1,1]
recall
1 [1,1]
recall
0.9791666666666666 [0.939394,1]
recall
0.9895833333333334 [0.969697,1]
recall
0.9791666666666666 [0.939394,1]
recall
0.9791666666666666 [0.941176,1]
recall
0.9791666666666666 [0.941176,1]
recall
0.9789473684210527 [0.939394,1]
recall
0.9894736842105263 [0.969697,1]
relative_absolute_error
0.09215262778977668
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0.04607631389488834
relative_absolute_error
0.02303815694744417
relative_absolute_error
0.04607631389488834
relative_absolute_error
0.04575350300257356
relative_absolute_error
0.04575350300257356
relative_absolute_error
0.04644749256114371
relative_absolute_error
0.023223746280571854
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
0.2041241452319315
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0.14433756729740643
root_mean_squared_error
0.10206207261596575
root_mean_squared_error
0.14433756729740643
root_mean_squared_error
0.14433756729740643
root_mean_squared_error
0.14433756729740643
root_mean_squared_error
0.14509525002200233
root_mean_squared_error
0.10259783520851541
root_relative_squared_error
0.42976294535261955
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0.30388829296154096
root_relative_squared_error
0.21488147267630978
root_relative_squared_error
0.30388829296154096
root_relative_squared_error
0.3017622029517878
root_relative_squared_error
0.3017622029517878
root_relative_squared_error
0.30473599293898135
root_relative_squared_error
0.2154808870787696
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
359.3199999995704
usercpu_time_millis
355.7760000003327
usercpu_time_millis
316.1980000004405
usercpu_time_millis
348.2900000017253
usercpu_time_millis
375.6080000021029
usercpu_time_millis
372.46399999639834
usercpu_time_millis
414.8579999964568
usercpu_time_millis
421.040000001085
usercpu_time_millis
455.9819999994943
usercpu_time_millis
391.08000000123866
usercpu_time_millis_testing
12.488000000303145
usercpu_time_millis_testing
11.755999999877531
usercpu_time_millis_testing
9.883999999146909
usercpu_time_millis_testing
13.522000001103152
usercpu_time_millis_testing
10.260000002745073
usercpu_time_millis_testing
10.237999998935265
usercpu_time_millis_testing
10.017999997216975
usercpu_time_millis_testing
17.406000002665678
usercpu_time_millis_testing
14.763999999559019
usercpu_time_millis_testing
19.140000000334112
usercpu_time_millis_training
346.8319999992673
usercpu_time_millis_training
344.0200000004552
usercpu_time_millis_training
306.3140000012936
usercpu_time_millis_training
334.7680000006221
usercpu_time_millis_training
365.34799999935785
usercpu_time_millis_training
362.2259999974631
usercpu_time_millis_training
404.8399999992398
usercpu_time_millis_training
403.6339999984193
usercpu_time_millis_training
441.2179999999353
usercpu_time_millis_training
371.94000000090455
wall_clock_time_millis
188.68422508239746
wall_clock_time_millis
179.55327033996582
wall_clock_time_millis
159.0259075164795
wall_clock_time_millis
175.89712142944336
wall_clock_time_millis
189.03398513793945
wall_clock_time_millis
187.32190132141113
wall_clock_time_millis
302.6268482208252
wall_clock_time_millis
295.12596130371094
wall_clock_time_millis
307.74784088134766
wall_clock_time_millis
239.27950859069824
wall_clock_time_millis_testing
6.9751739501953125
wall_clock_time_millis_testing
5.903005599975586
wall_clock_time_millis_testing
4.98199462890625
wall_clock_time_millis_testing
6.782054901123047
wall_clock_time_millis_testing
5.147218704223633
wall_clock_time_millis_testing
5.132913589477539
wall_clock_time_millis_testing
5.101919174194336
wall_clock_time_millis_testing
9.925127029418945
wall_clock_time_millis_testing
9.747743606567383
wall_clock_time_millis_testing
13.202190399169922
wall_clock_time_millis_training
181.70905113220215
wall_clock_time_millis_training
173.65026473999023
wall_clock_time_millis_training
154.04391288757324
wall_clock_time_millis_training
169.1150665283203
wall_clock_time_millis_training
183.88676643371582
wall_clock_time_millis_training
182.1889877319336
wall_clock_time_millis_training
297.52492904663086
wall_clock_time_millis_training
285.200834274292
wall_clock_time_millis_training
298.0000972747803
wall_clock_time_millis_training
226.07731819152832