10397950
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)
8235836
add_indicator
false
16358
copy
true
16358
fill_value
null
16358
missing_values
NaN
16358
strategy
"most_frequent"
16358
verbose
0
16358
C
1.8292595271244954
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.6708617540973103
16360
decision_function_shape
"ovr"
16360
degree
4
16360
gamma
0.004202999500547671
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
21717645
description
https://api.openml.org/data/download/21717645/description.xml
-1
21717646
predictions
https://api.openml.org/data/download/21717646/predictions.arff
area_under_roc_curve
0.596202702182532 [0.596203,0.596203]
average_cost
0
f_measure
0.6507065558027135 [0.328358,0.821664]
kappa
0.23617099186146792
kb_relative_information_score
0.3515062194867818
mean_absolute_error
0.2818371607515658
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.7844577801780307 [0.942857,0.70045]
predictive_accuracy
0.7181628392484342
prior_entropy
0.9309543116818706
recall
0.7181628392484343 [0.198795,0.99361]
relative_absolute_error
0.6221466941256072
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.5308833777314617
root_relative_squared_error
1.1155995493740645
total_cost
0
area_under_roc_curve
0.5829725829725829 [0.582973,0.582973]
area_under_roc_curve
0.6738816738816739 [0.673882,0.673882]
area_under_roc_curve
0.6060606060606061 [0.606061,0.606061]
area_under_roc_curve
0.5678210678210678 [0.567821,0.567821]
area_under_roc_curve
0.5757575757575758 [0.575758,0.575758]
area_under_roc_curve
0.5757575757575758 [0.575758,0.575758]
area_under_roc_curve
0.6095825426944972 [0.609583,0.609583]
area_under_roc_curve
0.5735294117647058 [0.573529,0.573529]
area_under_roc_curve
0.6363636363636364 [0.636364,0.636364]
area_under_roc_curve
0.5606060606060606 [0.560606,0.560606]
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
0.6384868421052632 [0.3,0.815789]
f_measure
0.7367108397855867 [0.521739,0.849315]
f_measure
0.6643092105263156 [0.35,0.828947]
f_measure
0.620003770739065 [0.25641,0.810458]
f_measure
0.6273923444976076 [0.263158,0.818182]
f_measure
0.6273923444976076 [0.263158,0.818182]
f_measure
0.6605860777274856 [0.372093,0.818792]
f_measure
0.6142324451147981 [0.25641,0.810458]
f_measure
0.6956716114610851 [0.428571,0.837838]
f_measure
0.604036854191653 [0.216216,0.810458]
kappa
0.20426287744227373
kappa
0.40640809443507603
kappa
0.261101243339254
kappa
0.16845878136200707
kappa
0.189873417721519
kappa
0.189873417721519
kappa
0.2627986348122866
kappa
0.18213866039952975
kappa
0.3286219081272085
kappa
0.15256844047985255
kb_relative_information_score
0.32703764546227143
kb_relative_information_score
0.4712438642917844
kb_relative_information_score
0.3751063850721091
kb_relative_information_score
0.30300327565735263
kb_relative_information_score
0.32703764546227143
kb_relative_information_score
0.32703764546227143
kb_relative_information_score
0.35765179140533154
kb_relative_information_score
0.31007044262054145
kb_relative_information_score
0.4191699959693232
kb_relative_information_score
0.29816374512959926
mean_absolute_error
0.2916666666666667
mean_absolute_error
0.22916666666666666
mean_absolute_error
0.2708333333333333
mean_absolute_error
0.3020833333333333
mean_absolute_error
0.2916666666666667
mean_absolute_error
0.2916666666666667
mean_absolute_error
0.28125
mean_absolute_error
0.3020833333333333
mean_absolute_error
0.25263157894736843
mean_absolute_error
0.30526315789473685
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
0.7518057784911717 [0.857143,0.696629]
precision
0.8075185356811864 [0.923077,0.746988]
precision
0.8082865168539325 [1,0.707865]
precision
0.7385416666666668 [0.833333,0.688889]
precision
0.798076923076923 [1,0.692308]
precision
0.798076923076923 [1,0.692308]
precision
0.7676404853128992 [0.888889,0.701149]
precision
0.7941849816849818 [1,0.681319]
precision
0.8178702570379437 [1,0.72093]
precision
0.7920185078079816 [1,0.681319]
predictive_accuracy
0.7083333333333333
predictive_accuracy
0.7708333333333333
predictive_accuracy
0.7291666666666667
predictive_accuracy
0.6979166666666667
predictive_accuracy
0.7083333333333333
predictive_accuracy
0.7083333333333333
predictive_accuracy
0.71875
predictive_accuracy
0.6979166666666667
predictive_accuracy
0.7473684210526317
predictive_accuracy
0.6947368421052631
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
0.7083333333333334 [0.181818,0.984127]
recall
0.7708333333333334 [0.363636,0.984127]
recall
0.7291666666666666 [0.212121,1]
recall
0.6979166666666666 [0.151515,0.984127]
recall
0.7083333333333334 [0.151515,1]
recall
0.7083333333333334 [0.151515,1]
recall
0.71875 [0.235294,0.983871]
recall
0.6979166666666666 [0.147059,1]
recall
0.7473684210526316 [0.272727,1]
recall
0.6947368421052632 [0.121212,1]
relative_absolute_error
0.6450683945284368
relative_absolute_error
0.5068394528437716
relative_absolute_error
0.5989920806335484
relative_absolute_error
0.6681065514758809
relative_absolute_error
0.6450683945284368
relative_absolute_error
0.6450683945284368
relative_absolute_error
0.6176722905347432
relative_absolute_error
0.6634257935373168
relative_absolute_error
0.5573699107337245
relative_absolute_error
0.6734886421365838
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
0.5400617248673217
root_mean_squared_error
0.47871355387816905
root_mean_squared_error
0.5204164998665332
root_mean_squared_error
0.5496210815947049
root_mean_squared_error
0.5400617248673217
root_mean_squared_error
0.5400617248673217
root_mean_squared_error
0.5303300858899106
root_mean_squared_error
0.5496210815947049
root_mean_squared_error
0.5026246899500346
root_mean_squared_error
0.5525062514530825
root_relative_squared_error
1.1370458761136737
root_relative_squared_error
1.0078834459350312
root_relative_squared_error
1.0956848222860587
root_relative_squared_error
1.157172144361698
root_relative_squared_error
1.1370458761136737
root_relative_squared_error
1.1370458761136737
root_relative_squared_error
1.1087451313350898
root_relative_squared_error
1.1490762348032357
root_relative_squared_error
1.0556364453305327
root_relative_squared_error
1.1604000897067142
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
135.77599999916856
usercpu_time_millis
127.8779999956896
usercpu_time_millis
120.38599999868893
usercpu_time_millis
151.89599999939674
usercpu_time_millis
144.82199999838485
usercpu_time_millis
141.69200000105775
usercpu_time_millis
122.38599999909638
usercpu_time_millis
144.15199999712058
usercpu_time_millis
138.84600000164937
usercpu_time_millis
123.83799999952316
usercpu_time_millis_testing
15.82599999892409
usercpu_time_millis_testing
19.917999998142477
usercpu_time_millis_testing
11.736000000382774
usercpu_time_millis_testing
15.845999998418847
usercpu_time_millis_testing
13.58799999798066
usercpu_time_millis_testing
10.731999998824904
usercpu_time_millis_testing
14.031999999133404
usercpu_time_millis_testing
20.037999998749
usercpu_time_millis_testing
17.781999998987885
usercpu_time_millis_testing
10.53200000023935
usercpu_time_millis_training
119.95000000024447
usercpu_time_millis_training
107.95999999754713
usercpu_time_millis_training
108.64999999830616
usercpu_time_millis_training
136.0500000009779
usercpu_time_millis_training
131.2340000004042
usercpu_time_millis_training
130.96000000223285
usercpu_time_millis_training
108.35399999996298
usercpu_time_millis_training
124.11399999837158
usercpu_time_millis_training
121.06400000266149
usercpu_time_millis_training
113.30599999928381
wall_clock_time_millis
81.98904991149902
wall_clock_time_millis
85.13593673706055
wall_clock_time_millis
73.55332374572754
wall_clock_time_millis
93.93978118896484
wall_clock_time_millis
88.07516098022461
wall_clock_time_millis
81.4216136932373
wall_clock_time_millis
71.75326347351074
wall_clock_time_millis
85.01577377319336
wall_clock_time_millis
86.38525009155273
wall_clock_time_millis
75.67501068115234
wall_clock_time_millis_testing
13.180971145629883
wall_clock_time_millis_testing
12.566804885864258
wall_clock_time_millis_testing
8.370161056518555
wall_clock_time_millis_testing
8.383989334106445
wall_clock_time_millis_testing
6.916999816894531
wall_clock_time_millis_testing
5.443811416625977
wall_clock_time_millis_testing
7.314205169677734
wall_clock_time_millis_testing
12.430906295776367
wall_clock_time_millis_testing
14.29128646850586
wall_clock_time_millis_testing
5.417108535766602
wall_clock_time_millis_training
68.80807876586914
wall_clock_time_millis_training
72.56913185119629
wall_clock_time_millis_training
65.18316268920898
wall_clock_time_millis_training
85.5557918548584
wall_clock_time_millis_training
81.15816116333008
wall_clock_time_millis_training
75.97780227661133
wall_clock_time_millis_training
64.43905830383301
wall_clock_time_millis_training
72.58486747741699
wall_clock_time_millis_training
72.09396362304688
wall_clock_time_millis_training
70.25790214538574