10328558
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)
8184203
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
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
37434
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
21578802
description
https://api.openml.org/data/download/21578802/description.xml
-1
21578803
predictions
https://api.openml.org/data/download/21578803/predictions.arff
area_under_roc_curve
0.9002777777777778 [0.985,0.882222,0.963889,0.931111,0.918889,0.968889,0.720278,0.937222,0.986389,0.708889]
average_cost
0
f_measure
0.8202871458656402 [0.984772,0.796954,0.953846,0.896907,0.834951,0.905213,0.4914,0.876847,0.977444,0.484536]
kappa
0.8005555555555556
kb_relative_information_score
0.8122865304443662
mean_absolute_error
0.03590000000000024
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8212507703737438 [1,0.809278,0.978947,0.925532,0.811321,0.86036,0.483092,0.864078,0.979899,0.5]
predictive_accuracy
0.8205
prior_entropy
3.3219280948872383
recall
0.8205 [0.97,0.785,0.93,0.87,0.86,0.955,0.5,0.89,0.975,0.47]
relative_absolute_error
0.19944444444443962
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1894729532149648
root_relative_squared_error
0.6315765107165396
total_cost
0
area_under_roc_curve
0.886111111111111 [0.975,0.9,0.972222,0.9,0.911111,0.969444,0.625,0.844444,0.997222,0.766667]
area_under_roc_curve
0.8916666666666666 [0.975,0.913889,0.975,0.922222,0.883333,0.938889,0.672222,0.916667,0.975,0.744444]
area_under_roc_curve
0.9 [0.95,0.861111,0.95,0.922222,0.983333,0.972222,0.716667,0.919444,1,0.725]
area_under_roc_curve
0.9222222222222222 [1,0.847222,0.975,0.941667,0.969444,0.963889,0.847222,0.966667,0.975,0.736111]
area_under_roc_curve
0.875 [1,0.811111,0.95,0.894444,0.933333,0.991667,0.666667,0.861111,1,0.641667]
area_under_roc_curve
0.9166666666666665 [1,0.95,1,0.897222,0.883333,0.966667,0.772222,0.994444,1,0.702778]
area_under_roc_curve
0.9083333333333333 [0.95,0.863889,0.95,0.966667,0.897222,0.958333,0.869444,0.988889,0.997222,0.641667]
area_under_roc_curve
0.913888888888889 [1,0.891667,0.947222,0.947222,0.922222,0.994444,0.766667,0.941667,0.972222,0.755556]
area_under_roc_curve
0.9194444444444444 [1,0.891667,0.975,0.997222,0.941667,0.972222,0.611111,0.997222,1,0.808333]
area_under_roc_curve
0.8694444444444447 [1,0.891667,0.944444,0.922222,0.863889,0.961111,0.655556,0.941667,0.947222,0.566667]
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
0.7930430598033991 [0.974359,0.73913,0.95,0.888889,0.809524,0.926829,0.342857,0.777778,0.97561,0.545455]
f_measure
0.8060991832301202 [0.974359,0.829268,0.974359,0.894737,0.761905,0.857143,0.421053,0.85,0.974359,0.52381]
f_measure
0.8219844762407691 [0.947368,0.75,0.947368,0.894737,0.869565,0.95,0.47619,0.871795,1,0.512821]
f_measure
0.8580174070588137 [1,0.8,0.974359,0.878049,0.926829,0.883721,0.666667,0.904762,0.974359,0.571429]
f_measure
0.773107294582203 [1,0.684211,0.947368,0.842105,0.818182,0.930233,0.4,0.75,1,0.358974]
f_measure
0.8489195962880174 [1,0.947368,1,0.864865,0.761905,0.904762,0.571429,0.952381,1,0.486486]
f_measure
0.825738365787378 [0.947368,0.769231,0.947368,0.904762,0.864865,0.844444,0.680851,0.909091,0.97561,0.413793]
f_measure
0.8466235155516284 [1,0.820513,0.923077,0.923077,0.894737,0.952381,0.545455,0.878049,0.95,0.578947]
f_measure
0.8478901992316626 [1,0.820513,0.974359,0.97561,0.878049,0.95,0.333333,0.97561,1,0.571429]
f_measure
0.763510108490853 [1,0.820513,0.9,0.894737,0.769231,0.863636,0.363636,0.878049,0.923077,0.222222]
kappa
0.7722222222222223
kappa
0.7833333333333334
kappa
0.7999999999999999
kappa
0.8444444444444444
kappa
0.75
kappa
0.8333333333333333
kappa
0.8166666666666667
kappa
0.8277777777777777
kappa
0.8388888888888889
kappa
0.7388888888888889
kb_relative_information_score
0.7856197144350645
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.811763651699081
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.7647045646238513
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.7542469897182446
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.045
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.04699999999999999
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
0.8008716283716284 [1,0.653846,0.95,1,0.772727,0.904762,0.4,0.875,0.952381,0.5]
precision
0.8093867243867243 [1,0.809524,1,0.944444,0.727273,0.818182,0.444444,0.85,1,0.5]
precision
0.8289273299799614 [1,0.75,1,0.944444,0.769231,0.95,0.454545,0.894737,1,0.526316]
precision
0.8651628082062865 [1,0.933333,1,0.857143,0.904762,0.826087,0.6,0.863636,1,0.666667]
precision
0.7749097381133996 [1,0.722222,1,0.888889,0.75,0.869565,0.4,0.75,1,0.368421]
precision
0.8516042780748664 [1,1,1,0.941176,0.727273,0.863636,0.545455,0.909091,1,0.529412]
precision
0.839926006340867 [1,0.789474,1,0.863636,0.941176,0.76,0.592593,0.833333,0.952381,0.666667]
precision
0.850863142705248 [1,0.842105,0.947368,0.947368,0.944444,0.909091,0.5,0.857143,0.95,0.611111]
precision
0.8536768645752312 [1,0.842105,1,0.952381,0.857143,0.95,0.5,0.952381,1,0.482759]
precision
0.7655534670008354 [1,0.842105,0.9,0.944444,0.789474,0.791667,0.333333,0.857143,0.947368,0.25]
predictive_accuracy
0.795
predictive_accuracy
0.805
predictive_accuracy
0.82
predictive_accuracy
0.86
predictive_accuracy
0.775
predictive_accuracy
0.85
predictive_accuracy
0.835
predictive_accuracy
0.845
predictive_accuracy
0.855
predictive_accuracy
0.765
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
0.795 [0.95,0.85,0.95,0.8,0.85,0.95,0.3,0.7,1,0.6]
recall
0.805 [0.95,0.85,0.95,0.85,0.8,0.9,0.4,0.85,0.95,0.55]
recall
0.82 [0.9,0.75,0.9,0.85,1,0.95,0.5,0.85,1,0.5]
recall
0.86 [1,0.7,0.95,0.9,0.95,0.95,0.75,0.95,0.95,0.5]
recall
0.775 [1,0.65,0.9,0.8,0.9,1,0.4,0.75,1,0.35]
recall
0.85 [1,0.9,1,0.8,0.8,0.95,0.6,1,1,0.45]
recall
0.835 [0.9,0.75,0.9,0.95,0.8,0.95,0.8,1,1,0.3]
recall
0.845 [1,0.8,0.9,0.9,0.85,1,0.6,0.9,0.95,0.55]
recall
0.855 [1,0.8,0.95,1,0.9,0.95,0.25,1,1,0.7]
recall
0.765 [1,0.8,0.9,0.85,0.75,0.95,0.4,0.9,0.9,0.2]
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.2500000000000003
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.26111111111111135
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
0.20248456731316591
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.21213203435596426
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.21679483388678797
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.707106781186548
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.7226494462892937
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
1064.0808550015208
usercpu_time_millis
1075.8313379919855
usercpu_time_millis
1071.8396910015144
usercpu_time_millis
1069.6930999984033
usercpu_time_millis
1076.491353000165
usercpu_time_millis
1068.1687709948164
usercpu_time_millis
1070.7097240010626
usercpu_time_millis
1059.687129993108
usercpu_time_millis
1068.6988559973543
usercpu_time_millis
1061.3027700019302
usercpu_time_millis_testing
55.27185100072529
usercpu_time_millis_testing
55.57736499758903
usercpu_time_millis_testing
57.504270000208635
usercpu_time_millis_testing
55.57631699775811
usercpu_time_millis_testing
56.06177700246917
usercpu_time_millis_testing
56.22516499715857
usercpu_time_millis_testing
55.671176000032574
usercpu_time_millis_testing
55.638883997744415
usercpu_time_millis_testing
56.00061800214462
usercpu_time_millis_testing
55.724997000652365
usercpu_time_millis_training
1008.8090040007955
usercpu_time_millis_training
1020.2539729943965
usercpu_time_millis_training
1014.3354210013058
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
1015.03854800103
usercpu_time_millis_training
1004.0482459953637
usercpu_time_millis_training
1012.6982379952096
usercpu_time_millis_training
1005.5777730012778
wall_clock_time_millis
1080.1825523376465
wall_clock_time_millis
1107.9556941986084
wall_clock_time_millis
1071.9349384307861
wall_clock_time_millis
1069.7846412658691
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
1059.7772598266602
wall_clock_time_millis
1068.8040256500244
wall_clock_time_millis
1061.4101886749268
wall_clock_time_millis_testing
55.28688430786133
wall_clock_time_millis_testing
55.59515953063965
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
55.591583251953125
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
1024.8956680297852
wall_clock_time_millis_training
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wall_clock_time_millis_training
1014.413595199585
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
1012.0198726654053
wall_clock_time_millis_training
1015.1150226593018
wall_clock_time_millis_training
1004.122257232666
wall_clock_time_millis_training
1012.7861499786377
wall_clock_time_millis_training
1005.6674480438232