10373016
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)
8228357
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
1.0043634737642537
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6405586442727347
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.0011289263826813015
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
35622
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
21667737
description
https://api.openml.org/data/download/21667737/description.xml
-1
21667738
predictions
https://api.openml.org/data/download/21667738/predictions.arff
area_under_roc_curve
0.8897222222222223 [0.99,0.853333,0.961944,0.9075,0.851111,0.949167,0.671111,0.949722,0.985,0.778333]
average_cost
0
f_measure
0.7986668870522724 [0.989899,0.712919,0.937028,0.861619,0.765957,0.903226,0.449102,0.843537,0.965347,0.558036]
kappa
0.7794444444444444
kb_relative_information_score
0.7924171381237141
mean_absolute_error
0.0397000000000003
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8035421897570528 [1,0.683486,0.944162,0.901639,0.818182,0.896552,0.559701,0.771784,0.955882,0.504032]
predictive_accuracy
0.8015000000000001
prior_entropy
3.3219280948872383
recall
0.8015 [0.98,0.745,0.93,0.825,0.72,0.91,0.375,0.93,0.975,0.625]
relative_absolute_error
0.22055555555555043
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1992485884517135
root_relative_squared_error
0.6641619615057014
total_cost
0
area_under_roc_curve
0.8694444444444442 [0.975,0.913889,0.969444,0.872222,0.872222,0.972222,0.544444,0.888889,0.997222,0.688889]
area_under_roc_curve
0.8888888888888888 [1,0.863889,0.969444,0.922222,0.791667,0.936111,0.688889,0.930556,0.969444,0.816667]
area_under_roc_curve
0.9055555555555556 [1,0.875,0.95,0.891667,0.916667,0.947222,0.688889,0.941667,1,0.844444]
area_under_roc_curve
0.8916666666666667 [0.975,0.813889,0.975,0.966667,0.883333,0.941667,0.713889,0.886111,0.969444,0.791667]
area_under_roc_curve
0.8944444444444444 [1,0.788889,0.975,0.916667,0.863889,0.941667,0.708333,0.980556,1,0.769444]
area_under_roc_curve
0.8972222222222221 [1,0.886111,0.994444,0.872222,0.886111,0.947222,0.655556,0.991667,1,0.738889]
area_under_roc_curve
0.9 [0.975,0.858333,0.925,0.941667,0.819444,0.938889,0.786111,0.980556,0.997222,0.777778]
area_under_roc_curve
0.8944444444444443 [0.975,0.852778,0.947222,0.919444,0.822222,0.947222,0.730556,0.933333,0.969444,0.847222]
area_under_roc_curve
0.8944444444444443 [1,0.808333,0.997222,0.922222,0.811111,0.944444,0.619444,0.983333,1,0.858333]
area_under_roc_curve
0.8611111111111112 [1,0.872222,0.916667,0.85,0.844444,0.975,0.575,0.980556,0.947222,0.65]
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
0.7604389035163784 [0.974359,0.705882,0.926829,0.833333,0.833333,0.95,0.176471,0.8,0.97561,0.428571]
f_measure
0.7949245388135178 [1,0.769231,0.926829,0.894737,0.685714,0.837209,0.5,0.8,0.926829,0.608696]
f_measure
0.828229196928477 [1,0.711111,0.947368,0.820513,0.85,0.923077,0.5,0.878049,1,0.652174]
f_measure
0.8026685494978179 [0.974359,0.702703,0.974359,0.904762,0.761905,0.878049,0.545455,0.780488,0.926829,0.577778]
f_measure
0.8061794269700884 [1,0.666667,0.974359,0.85,0.769231,0.878049,0.514286,0.851064,1,0.55814]
f_measure
0.8111764082569195 [1,0.780488,0.952381,0.833333,0.780488,0.923077,0.411765,0.930233,1,0.5]
f_measure
0.8178356225372312 [0.974359,0.731707,0.918919,0.878049,0.742857,0.857143,0.648649,0.851064,0.97561,0.6]
f_measure
0.8106906286946994 [0.974359,0.697674,0.923077,0.871795,0.764706,0.923077,0.540541,0.818182,0.926829,0.666667]
f_measure
0.7988610359339112 [1,0.666667,0.97561,0.894737,0.684211,0.9,0.37037,0.869565,1,0.627451]
f_measure
0.7485709420059423 [1,0.695652,0.85,0.823529,0.777778,0.974359,0.242424,0.851064,0.923077,0.347826]
kappa
0.7388888888888889
kappa
0.7777777777777778
kappa
0.8111111111111111
kappa
0.7833333333333334
kappa
0.788888888888889
kappa
0.7944444444444444
kappa
0.7999999999999999
kappa
0.788888888888889
kappa
0.788888888888889
kappa
0.7222222222222222
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.8013060767934745
kb_relative_information_score
0.8065348642462777
kb_relative_information_score
0.811763651699081
kb_relative_information_score
0.8013060767934745
kb_relative_information_score
0.8013060767934745
kb_relative_information_score
0.7385606273598343
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.04999999999999998
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
0.7686164641809803 [1,0.580645,0.904762,0.9375,0.9375,0.95,0.214286,0.8,0.952381,0.409091]
precision
0.805117883895916 [1,0.789474,0.904762,0.944444,0.8,0.782609,0.666667,0.72,0.904762,0.538462]
precision
0.8380206284943127 [1,0.64,1,0.842105,0.85,0.947368,0.666667,0.857143,1,0.576923]
precision
0.8091732189379249 [1,0.764706,1,0.863636,0.727273,0.857143,0.692308,0.761905,0.904762,0.52]
precision
0.8109096412528907 [1,0.75,1,0.85,0.789474,0.857143,0.6,0.740741,1,0.521739]
precision
0.8145667404677702 [1,0.761905,0.909091,0.9375,0.761905,0.947368,0.5,0.869565,1,0.458333]
precision
0.8255281102339925 [1,0.714286,1,0.857143,0.866667,0.818182,0.705882,0.740741,0.952381,0.6]
precision
0.8213216224704984 [1,0.652174,0.947368,0.894737,0.928571,0.947368,0.588235,0.75,0.904762,0.6]
precision
0.8202903661137956 [1,0.684211,0.952381,0.944444,0.722222,0.9,0.714286,0.769231,1,0.516129]
precision
0.7643878392562603 [1,0.615385,0.85,1,0.875,1,0.307692,0.740741,0.947368,0.307692]
predictive_accuracy
0.765
predictive_accuracy
0.8
predictive_accuracy
0.83
predictive_accuracy
0.805
predictive_accuracy
0.81
predictive_accuracy
0.815
predictive_accuracy
0.82
predictive_accuracy
0.81
predictive_accuracy
0.81
predictive_accuracy
0.75
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
0.765 [0.95,0.9,0.95,0.75,0.75,0.95,0.15,0.8,1,0.45]
recall
0.8 [1,0.75,0.95,0.85,0.6,0.9,0.4,0.9,0.95,0.7]
recall
0.83 [1,0.8,0.9,0.8,0.85,0.9,0.4,0.9,1,0.75]
recall
0.805 [0.95,0.65,0.95,0.95,0.8,0.9,0.45,0.8,0.95,0.65]
recall
0.81 [1,0.6,0.95,0.85,0.75,0.9,0.45,1,1,0.6]
recall
0.815 [1,0.8,1,0.75,0.8,0.9,0.35,1,1,0.55]
recall
0.82 [0.95,0.75,0.85,0.9,0.65,0.9,0.6,1,1,0.6]
recall
0.81 [0.95,0.75,0.9,0.85,0.65,0.9,0.5,0.9,0.95,0.75]
recall
0.81 [1,0.65,1,0.85,0.65,0.9,0.25,1,1,0.8]
recall
0.75 [1,0.8,0.85,0.7,0.7,0.95,0.2,1,0.9,0.4]
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.277777777777778
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
0.21679483388678797
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.22360679774997894
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.7453559924999302
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
572.8275180008495
usercpu_time_millis
585.0174929983041
usercpu_time_millis
574.7634359977383
usercpu_time_millis
579.2927200018312
usercpu_time_millis
587.2165290020348
usercpu_time_millis
593.319645999145
usercpu_time_millis
594.0178669989109
usercpu_time_millis
576.2926529969263
usercpu_time_millis
571.560166998097
usercpu_time_millis
540.8130950017949
usercpu_time_millis_testing
59.89116499767988
usercpu_time_millis_testing
67.08792499921401
usercpu_time_millis_testing
61.55687699720147
usercpu_time_millis_testing
61.92566499885288
usercpu_time_millis_testing
63.948449002054986
usercpu_time_millis_testing
64.22134799868218
usercpu_time_millis_testing
68.87357300001895
usercpu_time_millis_testing
61.64090299716918
usercpu_time_millis_testing
60.3301150003972
usercpu_time_millis_testing
41.8149840006663
usercpu_time_millis_training
512.9363530031696
usercpu_time_millis_training
517.9295679990901
usercpu_time_millis_training
513.2065590005368
usercpu_time_millis_training
517.3670550029783
usercpu_time_millis_training
523.2680799999798
usercpu_time_millis_training
529.0982980004628
usercpu_time_millis_training
525.144293998892
usercpu_time_millis_training
514.6517499997572
usercpu_time_millis_training
511.2300519976998
usercpu_time_millis_training
498.99811100112856
wall_clock_time_millis
572.861909866333
wall_clock_time_millis
585.0489139556885
wall_clock_time_millis
574.8062133789062
wall_clock_time_millis
579.505443572998
wall_clock_time_millis
587.2573852539062
wall_clock_time_millis
593.3687686920166
wall_clock_time_millis
594.0525531768799
wall_clock_time_millis
578.0124664306641
wall_clock_time_millis
571.7053413391113
wall_clock_time_millis
540.8570766448975
wall_clock_time_millis_testing
59.90242958068848
wall_clock_time_millis_testing
67.10124015808105
wall_clock_time_millis_testing
61.566829681396484
wall_clock_time_millis_testing
61.936140060424805
wall_clock_time_millis_testing
63.977956771850586
wall_clock_time_millis_testing
64.23282623291016
wall_clock_time_millis_testing
68.88294219970703
wall_clock_time_millis_testing
61.65289878845215
wall_clock_time_millis_testing
60.343027114868164
wall_clock_time_millis_testing
41.82124137878418
wall_clock_time_millis_training
512.9594802856445
wall_clock_time_millis_training
517.9476737976074
wall_clock_time_millis_training
513.2393836975098
wall_clock_time_millis_training
517.5693035125732
wall_clock_time_millis_training
523.2794284820557
wall_clock_time_millis_training
529.1359424591064
wall_clock_time_millis_training
525.1696109771729
wall_clock_time_millis_training
516.3595676422119
wall_clock_time_millis_training
511.36231422424316
wall_clock_time_millis_training
499.0358352661133