10319580
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)
8175285
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
C
86.94814255939787
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.5721041651497317
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.038416635182561276
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
21237
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
21560846
description
https://api.openml.org/data/download/21560846/description.xml
-1
21560847
predictions
https://api.openml.org/data/download/21560847/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
0.995196342366569
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
0.9696969696969697 [0.969697,0.969697]
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
0.97900390625 [0.96875,0.984375]
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
0.953147877013177
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kb_relative_information_score
0.9519312603901624
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
0.020833333333333332
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
0.9798076923076923 [1,0.969231]
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
0.9791666666666667
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
0.9791666666666666 [0.939394,1]
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
0.04607631389488834
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
0.14433756729740643
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
0.30388829296154096
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
69.96136399993702
usercpu_time_millis
73.6140390000628
usercpu_time_millis
70.88246099999651
usercpu_time_millis
65.5421070000557
usercpu_time_millis
69.46357599997555
usercpu_time_millis
65.40185300002577
usercpu_time_millis
64.13507299998855
usercpu_time_millis
61.782763999985946
usercpu_time_millis
62.719452000123965
usercpu_time_millis
65.59636599990881
usercpu_time_millis_testing
4.915345999961573
usercpu_time_millis_testing
4.7785120000298775
usercpu_time_millis_testing
4.943909000076019
usercpu_time_millis_testing
5.12237999998888
usercpu_time_millis_testing
4.978739999955906
usercpu_time_millis_testing
4.722110999978213
usercpu_time_millis_testing
4.900579000036487
usercpu_time_millis_testing
5.012164000049779
usercpu_time_millis_testing
4.808996000065235
usercpu_time_millis_testing
4.755904999910854
usercpu_time_millis_training
65.04601799997545
usercpu_time_millis_training
68.83552700003293
usercpu_time_millis_training
65.93855199992049
usercpu_time_millis_training
60.419727000066814
usercpu_time_millis_training
64.48483600001964
usercpu_time_millis_training
60.679742000047554
usercpu_time_millis_training
59.234493999952065
usercpu_time_millis_training
56.77059999993617
usercpu_time_millis_training
57.91045600005873
usercpu_time_millis_training
60.84046099999796
wall_clock_time_millis
69.98133659362793
wall_clock_time_millis
73.65131378173828
wall_clock_time_millis
70.89829444885254
wall_clock_time_millis
65.56153297424316
wall_clock_time_millis
69.47970390319824
wall_clock_time_millis
65.44852256774902
wall_clock_time_millis
64.15247917175293
wall_clock_time_millis
61.83767318725586
wall_clock_time_millis
78.74274253845215
wall_clock_time_millis
65.61636924743652
wall_clock_time_millis_testing
4.924535751342773
wall_clock_time_millis_testing
4.787206649780273
wall_clock_time_millis_testing
4.951238632202148
wall_clock_time_millis_testing
5.131959915161133
wall_clock_time_millis_testing
4.98652458190918
wall_clock_time_millis_testing
4.730701446533203
wall_clock_time_millis_testing
4.909992218017578
wall_clock_time_millis_testing
5.022764205932617
wall_clock_time_millis_testing
4.818201065063477
wall_clock_time_millis_testing
4.76527214050293
wall_clock_time_millis_training
65.05680084228516
wall_clock_time_millis_training
68.86410713195801
wall_clock_time_millis_training
65.94705581665039
wall_clock_time_millis_training
60.42957305908203
wall_clock_time_millis_training
64.49317932128906
wall_clock_time_millis_training
60.71782112121582
wall_clock_time_millis_training
59.24248695373535
wall_clock_time_millis_training
56.81490898132324
wall_clock_time_millis_training
73.92454147338867
wall_clock_time_millis_training
60.851097106933594