10397920
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)
8235676
add_indicator
false
16358
copy
true
16358
fill_value
null
16358
missing_values
NaN
16358
strategy
"most_frequent"
16358
verbose
0
16358
C
341.13570414927165
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.40925841203009883
16360
decision_function_shape
"ovr"
16360
degree
2
16360
gamma
0.0879431242461166
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
21717585
description
https://api.openml.org/data/download/21717585/description.xml
-1
21717586
predictions
https://api.openml.org/data/download/21717586/predictions.arff
area_under_roc_curve
0.9969879518072289 [0.996988,0.996988]
average_cost
0
f_measure
0.9979108285472813 [0.996979,0.998405]
kappa
0.9953839778739315
kb_relative_information_score
0.9951963423665688
mean_absolute_error
0.0020876826722338203
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.9979189659986969 [1,0.996815]
predictive_accuracy
0.9979123173277662
prior_entropy
0.9309543116818706
recall
0.9979123173277662 [0.993976,1]
relative_absolute_error
0.004608494030560052
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.04569116623849538
root_relative_squared_error
0.09601552168360555
total_cost
0
area_under_roc_curve
0.9848484848484849 [0.984848,0.984848]
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
0.9852941176470589 [0.985294,0.985294]
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
0.9895442156268928 [0.984615,0.992126]
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
0.989547263681592 [0.985075,0.992]
f_measure
1 [1,1]
f_measure
1 [1,1]
kappa
0.9767441860465117
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
0.9770773638968482
kappa
1
kappa
1
kb_relative_information_score
0.9759656301950811
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
0.9762093256076048
kb_relative_information_score
1
kb_relative_information_score
1
mean_absolute_error
0.010416666666666666
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
0.010416666666666666
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
0.98974609375 [1,0.984375]
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
0.9897486772486772 [1,0.984127]
precision
1 [1,1]
precision
1 [1,1]
predictive_accuracy
0.9895833333333333
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9895833333333333
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
0.9895833333333334 [0.969697,1]
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
0.9895833333333334 [0.970588,1]
recall
1 [1,1]
recall
1 [1,1]
relative_absolute_error
0.02303815694744417
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
0.02287675150128678
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
0.10206207261596575
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
0.10206207261596575
root_mean_squared_error
0
root_mean_squared_error
0
root_relative_squared_error
0.21488147267630978
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
0.21337810001300034
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
101.02400000323541
usercpu_time_millis
84.31199999904493
usercpu_time_millis
91.57199999754084
usercpu_time_millis
96.05800000281306
usercpu_time_millis
92.7819999960775
usercpu_time_millis
95.13200000219513
usercpu_time_millis
96.16399999868008
usercpu_time_millis
89.17999999903259
usercpu_time_millis
90.73000000353204
usercpu_time_millis
97.2040000015113
usercpu_time_millis_testing
6.92200000048615
usercpu_time_millis_testing
6.129999997938285
usercpu_time_millis_testing
7.1079999979701824
usercpu_time_millis_testing
6.664000000455417
usercpu_time_millis_testing
7.183999998233048
usercpu_time_millis_testing
5.926000001636567
usercpu_time_millis_testing
6.347999998979503
usercpu_time_millis_testing
5.981999998766696
usercpu_time_millis_testing
5.962000002909917
usercpu_time_millis_testing
7.666000001336215
usercpu_time_millis_training
94.10200000274926
usercpu_time_millis_training
78.18200000110664
usercpu_time_millis_training
84.46399999957066
usercpu_time_millis_training
89.39400000235764
usercpu_time_millis_training
85.59799999784445
usercpu_time_millis_training
89.20600000055856
usercpu_time_millis_training
89.81599999970058
usercpu_time_millis_training
83.19800000026589
usercpu_time_millis_training
84.76800000062212
usercpu_time_millis_training
89.53800000017509
wall_clock_time_millis
50.77385902404785
wall_clock_time_millis
42.27757453918457
wall_clock_time_millis
45.977115631103516
wall_clock_time_millis
49.53885078430176
wall_clock_time_millis
47.54996299743652
wall_clock_time_millis
48.57921600341797
wall_clock_time_millis
48.74682426452637
wall_clock_time_millis
45.81189155578613
wall_clock_time_millis
46.547889709472656
wall_clock_time_millis
49.05200004577637
wall_clock_time_millis_testing
3.468036651611328
wall_clock_time_millis_testing
3.0786991119384766
wall_clock_time_millis_testing
3.5631656646728516
wall_clock_time_millis_testing
4.213094711303711
wall_clock_time_millis_testing
4.224061965942383
wall_clock_time_millis_testing
2.9671192169189453
wall_clock_time_millis_testing
3.178834915161133
wall_clock_time_millis_testing
2.9959678649902344
wall_clock_time_millis_testing
3.0059814453125
wall_clock_time_millis_testing
3.838062286376953
wall_clock_time_millis_training
47.30582237243652
wall_clock_time_millis_training
39.198875427246094
wall_clock_time_millis_training
42.413949966430664
wall_clock_time_millis_training
45.32575607299805
wall_clock_time_millis_training
43.32590103149414
wall_clock_time_millis_training
45.61209678649902
wall_clock_time_millis_training
45.567989349365234
wall_clock_time_millis_training
42.8159236907959
wall_clock_time_millis_training
43.541908264160156
wall_clock_time_millis_training
45.213937759399414