10397930
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)
8235942
add_indicator
false
16358
copy
true
16358
fill_value
null
16358
missing_values
NaN
16358
strategy
"most_frequent"
16358
verbose
0
16358
C
4312.765643162175
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.8431309599755139
16360
decision_function_shape
"ovr"
16360
degree
2
16360
gamma
0.1340521523606873
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
21717605
description
https://api.openml.org/data/download/21717605/description.xml
-1
21717606
predictions
https://api.openml.org/data/download/21717606/predictions.arff
area_under_roc_curve
0.9984939759036144 [0.998494,0.998494]
average_cost
0
f_measure
0.9989557879900685 [0.998492,0.999202]
kappa
0.9976936225533861
kb_relative_information_score
0.9975981711832843
mean_absolute_error
0.0010438413361169101
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.9989578234826009 [1,0.998405]
predictive_accuracy
0.9989561586638831
prior_entropy
0.9309543116818706
recall
0.9989561586638831 [0.996988,1]
relative_absolute_error
0.002304247015280026
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.03230853348756192
root_relative_squared_error
0.06789322648164148
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
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
0.9895442156268928 [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
1 [1,1]
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
1
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
1
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
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
1 [1,1]
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
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
0.9895833333333334 [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
1 [1,1]
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
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
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
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
171.6359999991255
usercpu_time_millis
182.5379999972938
usercpu_time_millis
167.23999999521766
usercpu_time_millis
172.6859999980661
usercpu_time_millis
186.2699999983306
usercpu_time_millis
196.55400000192458
usercpu_time_millis
173.58400000011898
usercpu_time_millis
178.67999999725726
usercpu_time_millis
209.32600000014645
usercpu_time_millis
166.33200000069337
usercpu_time_millis_testing
11.271999999735272
usercpu_time_millis_testing
11.77800000004936
usercpu_time_millis_testing
9.073999997781357
usercpu_time_millis_testing
13.552000000345288
usercpu_time_millis_testing
11.763999998947838
usercpu_time_millis_testing
14.065999999729684
usercpu_time_millis_testing
8.209999999962747
usercpu_time_millis_testing
12.771999998221872
usercpu_time_millis_testing
11.31600000007893
usercpu_time_millis_testing
8.566000000428176
usercpu_time_millis_training
160.36399999939022
usercpu_time_millis_training
170.75999999724445
usercpu_time_millis_training
158.1659999974363
usercpu_time_millis_training
159.13399999772082
usercpu_time_millis_training
174.50599999938277
usercpu_time_millis_training
182.4880000021949
usercpu_time_millis_training
165.37400000015623
usercpu_time_millis_training
165.90799999903538
usercpu_time_millis_training
198.01000000006752
usercpu_time_millis_training
157.7660000002652
wall_clock_time_millis
96.36783599853516
wall_clock_time_millis
101.23419761657715
wall_clock_time_millis
98.31976890563965
wall_clock_time_millis
105.77201843261719
wall_clock_time_millis
140.64884185791016
wall_clock_time_millis
127.81310081481934
wall_clock_time_millis
99.55883026123047
wall_clock_time_millis
110.46195030212402
wall_clock_time_millis
133.3332061767578
wall_clock_time_millis
100.14796257019043
wall_clock_time_millis_testing
6.6680908203125
wall_clock_time_millis_testing
6.266117095947266
wall_clock_time_millis_testing
4.9228668212890625
wall_clock_time_millis_testing
8.11004638671875
wall_clock_time_millis_testing
7.67207145690918
wall_clock_time_millis_testing
10.53619384765625
wall_clock_time_millis_testing
4.391908645629883
wall_clock_time_millis_testing
6.531953811645508
wall_clock_time_millis_testing
6.163120269775391
wall_clock_time_millis_testing
4.327058792114258
wall_clock_time_millis_training
89.69974517822266
wall_clock_time_millis_training
94.96808052062988
wall_clock_time_millis_training
93.39690208435059
wall_clock_time_millis_training
97.66197204589844
wall_clock_time_millis_training
132.97677040100098
wall_clock_time_millis_training
117.27690696716309
wall_clock_time_millis_training
95.16692161560059
wall_clock_time_millis_training
103.92999649047852
wall_clock_time_millis_training
127.17008590698242
wall_clock_time_millis_training
95.82090377807617