10397931
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)
8235854
add_indicator
false
16358
copy
true
16358
fill_value
null
16358
missing_values
NaN
16358
strategy
"most_frequent"
16358
verbose
0
16358
C
5.74148399010259
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.6335373153784345
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.00873482050378385
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
21717607
description
https://api.openml.org/data/download/21717607/description.xml
-1
21717608
predictions
https://api.openml.org/data/download/21717608/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
142.6019999998971
usercpu_time_millis
154.51799999937066
usercpu_time_millis
123.48000000201864
usercpu_time_millis
130.49799999862444
usercpu_time_millis
137.24599999841303
usercpu_time_millis
135.82600000154343
usercpu_time_millis
115.77399999805493
usercpu_time_millis
140.21000000138883
usercpu_time_millis
120.5679999984568
usercpu_time_millis
143.45200000025216
usercpu_time_millis_testing
12.967999999091262
usercpu_time_millis_testing
17.697999999654712
usercpu_time_millis_testing
14.780000001337612
usercpu_time_millis_testing
13.685999998415355
usercpu_time_millis_testing
10.959999999613501
usercpu_time_millis_testing
14.888000001519686
usercpu_time_millis_testing
10.823999997228384
usercpu_time_millis_testing
14.26999999966938
usercpu_time_millis_testing
11.459999997896375
usercpu_time_millis_testing
9.86199999897508
usercpu_time_millis_training
129.63400000080583
usercpu_time_millis_training
136.81999999971595
usercpu_time_millis_training
108.70000000068103
usercpu_time_millis_training
116.81200000020908
usercpu_time_millis_training
126.28599999879953
usercpu_time_millis_training
120.93800000002375
usercpu_time_millis_training
104.95000000082655
usercpu_time_millis_training
125.94000000171945
usercpu_time_millis_training
109.10800000056042
usercpu_time_millis_training
133.59000000127708
wall_clock_time_millis
75.93464851379395
wall_clock_time_millis
93.45507621765137
wall_clock_time_millis
78.57418060302734
wall_clock_time_millis
78.72796058654785
wall_clock_time_millis
73.83561134338379
wall_clock_time_millis
79.58817481994629
wall_clock_time_millis
74.60975646972656
wall_clock_time_millis
89.3707275390625
wall_clock_time_millis
72.7086067199707
wall_clock_time_millis
81.49290084838867
wall_clock_time_millis_testing
6.572723388671875
wall_clock_time_millis_testing
12.022972106933594
wall_clock_time_millis_testing
10.369062423706055
wall_clock_time_millis_testing
6.952047348022461
wall_clock_time_millis_testing
5.523920059204102
wall_clock_time_millis_testing
11.78598403930664
wall_clock_time_millis_testing
6.094694137573242
wall_clock_time_millis_testing
8.210897445678711
wall_clock_time_millis_testing
5.760908126831055
wall_clock_time_millis_testing
5.110025405883789
wall_clock_time_millis_training
69.36192512512207
wall_clock_time_millis_training
81.43210411071777
wall_clock_time_millis_training
68.20511817932129
wall_clock_time_millis_training
71.77591323852539
wall_clock_time_millis_training
68.31169128417969
wall_clock_time_millis_training
67.80219078063965
wall_clock_time_millis_training
68.51506233215332
wall_clock_time_millis_training
81.15983009338379
wall_clock_time_millis_training
66.94769859313965
wall_clock_time_millis_training
76.38287544250488