10328593
8323
Heinrich Peters
14
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8184236
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
35.67606386717542
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.534873271170256
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
9.633796731664586e-06
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
2562
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21578872
description
https://api.openml.org/data/download/21578872/description.xml
-1
21578873
predictions
https://api.openml.org/data/download/21578873/predictions.arff
area_under_roc_curve
0.8688888888888889 [0.98,0.850556,0.940278,0.87,0.814444,0.941944,0.655278,0.895,0.9825,0.758889]
average_cost
0
f_measure
0.763775541653961 [0.979592,0.674107,0.901266,0.815217,0.72067,0.880196,0.410557,0.79902,0.94431,0.512821]
kappa
0.7377777777777778
kb_relative_information_score
0.7532012322276909
mean_absolute_error
0.0472000000000004
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7735610237400276 [1,0.608871,0.912821,0.892857,0.816456,0.861244,0.496454,0.783654,0.915493,0.447761]
predictive_accuracy
0.764
prior_entropy
3.3219280948872383
recall
0.764 [0.96,0.755,0.89,0.75,0.645,0.9,0.35,0.815,0.975,0.6]
relative_absolute_error
0.26222222222221636
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.21725560982400524
root_relative_squared_error
0.7241853660800064
total_cost
0
area_under_roc_curve
0.8444444444444444 [0.95,0.891667,0.911111,0.872222,0.869444,0.972222,0.544444,0.813889,0.991667,0.627778]
area_under_roc_curve
0.8694444444444445 [1,0.852778,0.941667,0.872222,0.772222,0.936111,0.702778,0.863889,0.969444,0.783333]
area_under_roc_curve
0.8694444444444446 [0.95,0.883333,0.925,0.816667,0.886111,0.95,0.661111,0.866667,0.994444,0.761111]
area_under_roc_curve
0.8916666666666666 [0.975,0.830556,0.975,0.919444,0.891667,0.966667,0.702778,0.863889,0.969444,0.822222]
area_under_roc_curve
0.8583333333333333 [1,0.772222,0.897222,0.891667,0.763889,0.927778,0.658333,0.908333,1,0.763889]
area_under_roc_curve
0.8777777777777775 [1,0.858333,0.994444,0.847222,0.813889,0.941667,0.652778,0.938889,0.997222,0.733333]
area_under_roc_curve
0.886111111111111 [0.975,0.833333,0.922222,0.938889,0.769444,0.888889,0.741667,0.952778,0.994444,0.844444]
area_under_roc_curve
0.8833333333333333 [0.975,0.875,0.919444,0.869444,0.769444,0.941667,0.730556,0.938889,0.994444,0.819444]
area_under_roc_curve
0.8694444444444442 [0.975,0.844444,1,0.847222,0.791667,0.919444,0.588889,0.913889,0.994444,0.819444]
area_under_roc_curve
0.8388888888888889 [1,0.863889,0.916667,0.825,0.816667,0.975,0.569444,0.888889,0.919444,0.613889]
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
0.7172501593000343 [0.947368,0.693878,0.809524,0.833333,0.810811,0.95,0.176471,0.702703,0.930233,0.318182]
f_measure
0.7657979025427977 [1,0.697674,0.878049,0.833333,0.6875,0.837209,0.486486,0.769231,0.926829,0.541667]
f_measure
0.7671305708996868 [0.947368,0.653846,0.918919,0.722222,0.780488,0.947368,0.4375,0.789474,0.952381,0.521739]
f_measure
0.8047624535429412 [0.974359,0.682927,0.974359,0.871795,0.820513,0.904762,0.486486,0.769231,0.926829,0.636364]
f_measure
0.741625981302422 [1,0.571429,0.864865,0.820513,0.628571,0.782609,0.424242,0.790698,1,0.533333]
f_measure
0.7775853235450265 [1,0.731707,0.952381,0.8,0.702703,0.878049,0.4,0.857143,0.97561,0.478261]
f_measure
0.791203145005667 [0.974359,0.7,0.894737,0.857143,0.666667,0.8,0.606061,0.808511,0.952381,0.652174]
f_measure
0.7885077787516812 [0.974359,0.711111,0.871795,0.810811,0.666667,0.878049,0.540541,0.857143,0.952381,0.622222]
f_measure
0.759686012114432 [0.974359,0.652174,1,0.8,0.685714,0.871795,0.285714,0.829268,0.952381,0.545455]
f_measure
0.7173601795030368 [1,0.653061,0.85,0.787879,0.722222,0.974359,0.228571,0.8,0.871795,0.285714]
kappa
0.6888888888888889
kappa
0.7388888888888889
kappa
0.7388888888888889
kappa
0.7833333333333334
kappa
0.7166666666666667
kappa
0.7555555555555555
kappa
0.7722222222222223
kappa
0.7666666666666667
kappa
0.7388888888888889
kappa
0.6777777777777777
kb_relative_information_score
0.707187902643014
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.7333318399070311
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.7856197144350645
kb_relative_information_score
0.7803909269822613
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.6967303277374072
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.057999999999999954
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.7269010591152096 [1,0.586207,0.772727,0.9375,0.882353,0.95,0.214286,0.764706,0.869565,0.291667]
precision
0.7834025200469203 [1,0.652174,0.857143,0.9375,0.916667,0.782609,0.529412,0.789474,0.904762,0.464286]
precision
0.78929507992008 [1,0.53125,1,0.8125,0.761905,1,0.583333,0.833333,0.909091,0.461538]
precision
0.8074125822577833 [1,0.666667,1,0.894737,0.842105,0.863636,0.529412,0.789474,0.904762,0.583333]
precision
0.7511969278085847 [1,0.545455,0.941176,0.842105,0.733333,0.692308,0.538462,0.73913,1,0.48]
precision
0.7838865056512114 [1,0.714286,0.909091,0.933333,0.764706,0.857143,0.466667,0.818182,0.952381,0.423077]
precision
0.8067728567728568 [1,0.7,0.944444,0.818182,0.846154,0.8,0.769231,0.703704,0.909091,0.576923]
precision
0.799589450796881 [1,0.64,0.894737,0.882353,0.846154,0.857143,0.588235,0.818182,0.909091,0.56]
precision
0.7852179399547821 [1,0.576923,1,0.933333,0.8,0.894737,0.5,0.809524,0.909091,0.428571]
precision
0.7417006957047793 [1,0.551724,0.85,1,0.8125,1,0.266667,0.8,0.894737,0.241379]
predictive_accuracy
0.72
predictive_accuracy
0.765
predictive_accuracy
0.765
predictive_accuracy
0.805
predictive_accuracy
0.745
predictive_accuracy
0.78
predictive_accuracy
0.795
predictive_accuracy
0.79
predictive_accuracy
0.765
predictive_accuracy
0.71
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.72 [0.9,0.85,0.85,0.75,0.75,0.95,0.15,0.65,1,0.35]
recall
0.765 [1,0.75,0.9,0.75,0.55,0.9,0.45,0.75,0.95,0.65]
recall
0.765 [0.9,0.85,0.85,0.65,0.8,0.9,0.35,0.75,1,0.6]
recall
0.805 [0.95,0.7,0.95,0.85,0.8,0.95,0.45,0.75,0.95,0.7]
recall
0.745 [1,0.6,0.8,0.8,0.55,0.9,0.35,0.85,1,0.6]
recall
0.78 [1,0.75,1,0.7,0.65,0.9,0.35,0.9,1,0.55]
recall
0.795 [0.95,0.7,0.85,0.9,0.55,0.8,0.5,0.95,1,0.75]
recall
0.79 [0.95,0.8,0.85,0.75,0.55,0.9,0.5,0.9,1,0.7]
recall
0.765 [0.95,0.75,1,0.7,0.6,0.85,0.2,0.85,1,0.75]
recall
0.71 [1,0.8,0.85,0.65,0.65,0.95,0.2,0.8,0.85,0.35]
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.32222222222222235
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.23664319132398456
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.2408318915758458
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.8027729719194865
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
729.5078600000124
usercpu_time_millis
741.4654260064708
usercpu_time_millis
736.1229550006101
usercpu_time_millis
743.1100719913957
usercpu_time_millis
729.8212870009593
usercpu_time_millis
735.3036880012951
usercpu_time_millis
738.567240005068
usercpu_time_millis
739.6606690017506
usercpu_time_millis
734.7316169980331
usercpu_time_millis
743.0907410016516
usercpu_time_millis_testing
61.36991800303804
usercpu_time_millis_testing
60.438937005528715
usercpu_time_millis_testing
60.34054900374031
usercpu_time_millis_testing
63.7739289959427
usercpu_time_millis_testing
59.61121399741387
usercpu_time_millis_testing
59.17144100385485
usercpu_time_millis_testing
59.41567700210726
usercpu_time_millis_testing
59.162355995795224
usercpu_time_millis_testing
58.91519800206879
usercpu_time_millis_testing
61.91451899940148
usercpu_time_millis_training
668.1379419969744
usercpu_time_millis_training
681.0264890009421
usercpu_time_millis_training
675.7824059968698
usercpu_time_millis_training
679.336142995453
usercpu_time_millis_training
670.2100730035454
usercpu_time_millis_training
676.1322469974402
usercpu_time_millis_training
679.1515630029608
usercpu_time_millis_training
680.4983130059554
usercpu_time_millis_training
675.8164189959643
usercpu_time_millis_training
681.1762220022501
wall_clock_time_millis
813.6391639709473
wall_clock_time_millis
953.5582065582275
wall_clock_time_millis
836.2414836883545
wall_clock_time_millis
743.1790828704834
wall_clock_time_millis
773.9028930664062
wall_clock_time_millis
1051.368236541748
wall_clock_time_millis
750.6768703460693
wall_clock_time_millis
907.7873229980469
wall_clock_time_millis
890.8021450042725
wall_clock_time_millis
807.1739673614502
wall_clock_time_millis_testing
61.387062072753906
wall_clock_time_millis_testing
108.44779014587402
wall_clock_time_millis_testing
108.36100578308105
wall_clock_time_millis_testing
63.790321350097656
wall_clock_time_millis_testing
103.62815856933594
wall_clock_time_millis_testing
59.18741226196289
wall_clock_time_millis_testing
59.4327449798584
wall_clock_time_millis_testing
59.17716026306152
wall_clock_time_millis_testing
58.93135070800781
wall_clock_time_millis_testing
61.930179595947266
wall_clock_time_millis_training
752.2521018981934
wall_clock_time_millis_training
845.1104164123535
wall_clock_time_millis_training
727.8804779052734
wall_clock_time_millis_training
679.3887615203857
wall_clock_time_millis_training
670.2747344970703
wall_clock_time_millis_training
992.1808242797852
wall_clock_time_millis_training
691.2441253662109
wall_clock_time_millis_training
848.6101627349854
wall_clock_time_millis_training
831.8707942962646
wall_clock_time_millis_training
745.2437877655029