10319498
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)
8175203
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
C
19123.80231242732
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.09813781928359377
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
1.2226691292578007
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
43965
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
21560682
description
https://api.openml.org/data/download/21560682/description.xml
-1
21560683
predictions
https://api.openml.org/data/download/21560683/predictions.arff
area_under_roc_curve
1 [1,1]
average_cost
0
f_measure
1 [1,1]
kappa
1
kb_relative_information_score
1
mean_absolute_error
0
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
1 [1,1]
predictive_accuracy
1
prior_entropy
0.9309543116818706
recall
1 [1,1]
relative_absolute_error
0
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0
root_relative_squared_error
0
total_cost
0
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
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
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
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
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
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
1 [1,1]
recall
1 [1,1]
recall
1 [1,1]
recall
1 [1,1]
recall
1 [1,1]
recall
1 [1,1]
recall
1 [1,1]
recall
1 [1,1]
recall
1 [1,1]
recall
1 [1,1]
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
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
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
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
total_cost
0
usercpu_time_millis
98.52508599988141
usercpu_time_millis
96.14951999992627
usercpu_time_millis
85.98908199996913
usercpu_time_millis
83.40485100006845
usercpu_time_millis
81.33094200002233
usercpu_time_millis
81.52997599995615
usercpu_time_millis
93.38632800006508
usercpu_time_millis
88.44282400013981
usercpu_time_millis
78.9281119999714
usercpu_time_millis
91.79592700002104
usercpu_time_millis_testing
6.579176999935044
usercpu_time_millis_testing
5.634032999978444
usercpu_time_millis_testing
6.28371999994215
usercpu_time_millis_testing
5.553082000005816
usercpu_time_millis_testing
5.632294999941223
usercpu_time_millis_testing
5.724496999960138
usercpu_time_millis_testing
5.787564000002021
usercpu_time_millis_testing
5.69900800007872
usercpu_time_millis_testing
5.543547000002036
usercpu_time_millis_testing
5.622248999998192
usercpu_time_millis_training
91.94590899994637
usercpu_time_millis_training
90.51548699994783
usercpu_time_millis_training
79.70536200002698
usercpu_time_millis_training
77.85176900006263
usercpu_time_millis_training
75.69864700008111
usercpu_time_millis_training
75.80547899999601
usercpu_time_millis_training
87.59876400006306
usercpu_time_millis_training
82.74381600006109
usercpu_time_millis_training
73.38456499996937
usercpu_time_millis_training
86.17367800002285
wall_clock_time_millis
98.54626655578613
wall_clock_time_millis
96.21262550354004
wall_clock_time_millis
86.00759506225586
wall_clock_time_millis
83.42099189758301
wall_clock_time_millis
81.35080337524414
wall_clock_time_millis
81.57896995544434
wall_clock_time_millis
93.41049194335938
wall_clock_time_millis
88.46378326416016
wall_clock_time_millis
79.1006088256836
wall_clock_time_millis
91.81332588195801
wall_clock_time_millis_testing
6.589174270629883
wall_clock_time_millis_testing
5.641698837280273
wall_clock_time_millis_testing
6.292819976806641
wall_clock_time_millis_testing
5.561351776123047
wall_clock_time_millis_testing
5.643606185913086
wall_clock_time_millis_testing
5.735158920288086
wall_clock_time_millis_testing
5.799770355224609
wall_clock_time_millis_testing
5.708932876586914
wall_clock_time_millis_testing
5.560159683227539
wall_clock_time_millis_testing
5.630731582641602
wall_clock_time_millis_training
91.95709228515625
wall_clock_time_millis_training
90.57092666625977
wall_clock_time_millis_training
79.71477508544922
wall_clock_time_millis_training
77.85964012145996
wall_clock_time_millis_training
75.70719718933105
wall_clock_time_millis_training
75.84381103515625
wall_clock_time_millis_training
87.61072158813477
wall_clock_time_millis_training
82.75485038757324
wall_clock_time_millis_training
73.54044914245605
wall_clock_time_millis_training
86.1825942993164