10326757
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)
8182427
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
1678.2157612503731
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.576914940889014
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.009054249724169287
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
20800
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
21575200
description
https://api.openml.org/data/download/21575200/description.xml
-1
21575201
predictions
https://api.openml.org/data/download/21575201/predictions.arff
area_under_roc_curve
0.9141666666666667 [0.9975,0.893056,0.978333,0.950278,0.913889,0.967222,0.750833,0.949722,0.986389,0.754444]
average_cost
0
f_measure
0.845742681107901 [0.997494,0.8,0.964824,0.912281,0.861538,0.944724,0.554156,0.890511,0.977444,0.554455]
kappa
0.8283333333333334
kb_relative_information_score
0.8384304677083813
mean_absolute_error
0.03090000000000017
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8462812530315733 [1,0.790244,0.969697,0.914573,0.884211,0.949495,0.558376,0.867299,0.979899,0.54902]
predictive_accuracy
0.8454999999999999
prior_entropy
3.3219280948872383
recall
0.8455 [0.995,0.81,0.96,0.91,0.84,0.94,0.55,0.915,0.975,0.56]
relative_absolute_error
0.17166666666666233
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17578395831246993
root_relative_squared_error
0.5859465277082241
total_cost
0
area_under_roc_curve
0.9249999999999998 [0.975,0.930556,0.997222,0.95,0.938889,0.975,0.783333,0.894444,0.997222,0.808333]
area_under_roc_curve
0.8972222222222223 [1,0.861111,0.975,0.891667,0.888889,0.947222,0.7,0.963889,0.975,0.769444]
area_under_roc_curve
0.9166666666666667 [1,0.933333,1,0.919444,0.963889,0.972222,0.75,0.897222,1,0.730556]
area_under_roc_curve
0.9472222222222223 [1,0.919444,0.975,0.991667,0.997222,0.975,0.880556,0.947222,0.975,0.811111]
area_under_roc_curve
0.8916666666666667 [1,0.836111,0.95,0.941667,0.894444,0.916667,0.672222,0.963889,1,0.741667]
area_under_roc_curve
0.9194444444444444 [1,0.916667,0.972222,0.894444,0.897222,0.994444,0.775,0.994444,1,0.75]
area_under_roc_curve
0.9166666666666667 [1,0.891667,0.95,0.966667,0.894444,0.969444,0.822222,0.991667,0.997222,0.683333]
area_under_roc_curve
0.9305555555555555 [1,0.891667,0.997222,1,0.894444,0.975,0.808333,0.938889,0.972222,0.827778]
area_under_roc_curve
0.9194444444444444 [1,0.894444,1,0.997222,0.925,0.975,0.633333,0.988889,1,0.780556]
area_under_roc_curve
0.8777777777777779 [1,0.855556,0.966667,0.95,0.844444,0.972222,0.683333,0.916667,0.947222,0.641667]
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
0.8644799616301542 [0.974359,0.8,0.97561,0.947368,0.857143,0.974359,0.631579,0.842105,0.97561,0.666667]
f_measure
0.8157852367950287 [1,0.75,0.974359,0.820513,0.8,0.923077,0.473684,0.883721,0.974359,0.55814]
f_measure
0.8479103025614654 [1,0.818182,1,0.871795,0.883721,0.95,0.55,0.864865,1,0.540541]
f_measure
0.9052187605013231 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.744186,0.923077,0.974359,0.684211]
f_measure
0.8051872651435299 [1,0.717949,0.947368,0.878049,0.842105,0.85,0.421053,0.883721,1,0.511628]
f_measure
0.85470978864432 [1,0.85,0.95,0.842105,0.864865,0.952381,0.585366,0.952381,1,0.55]
f_measure
0.8454371863672783 [1,0.820513,0.947368,0.904762,0.842105,0.926829,0.636364,0.930233,0.97561,0.470588]
f_measure
0.8753063004603442 [1,0.820513,0.97561,1,0.842105,0.974359,0.666667,0.857143,0.95,0.666667]
f_measure
0.8525696066522217 [1,0.842105,1,0.97561,0.918919,0.974359,0.375,0.909091,1,0.530612]
f_measure
0.7835336009020218 [1,0.714286,0.904762,0.947368,0.777778,0.95,0.409091,0.85,0.923077,0.358974]
kappa
0.85
kappa
0.7944444444444444
kappa
0.8333333333333333
kappa
0.8944444444444445
kappa
0.7833333333333334
kappa
0.8388888888888889
kappa
0.8333333333333333
kappa
0.8611111111111112
kappa
0.8388888888888889
kappa
0.7555555555555555
kb_relative_information_score
0.8588227387743107
kb_relative_information_score
0.8065348642462777
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.9006530383967372
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.8692803136799173
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.7699333520766547
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.019000000000000006
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.02500000000000001
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.044000000000000004
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
0.8682709804815066 [1,0.72,0.952381,1,0.818182,1,0.666667,0.888889,0.952381,0.684211]
precision
0.8187299771167048 [1,0.75,1,0.842105,0.8,0.947368,0.5,0.826087,1,0.521739]
precision
0.8500235563332885 [1,0.75,1,0.894737,0.826087,0.95,0.55,0.941176,1,0.588235]
precision
0.9081925829065418 [1,0.894737,1,0.869565,0.952381,1,0.695652,0.947368,1,0.722222]
precision
0.8081666121826305 [1,0.736842,1,0.857143,0.888889,0.85,0.444444,0.826087,1,0.478261]
precision
0.8569675749087513 [1,0.85,0.95,0.888889,0.941176,0.909091,0.571429,0.909091,1,0.55]
precision
0.8476100494979213 [1,0.842105,1,0.863636,0.888889,0.904762,0.583333,0.869565,0.952381,0.571429]
precision
0.877213108528898 [1,0.842105,0.952381,1,0.888889,1,0.684211,0.818182,0.95,0.636364]
precision
0.862287903667214 [1,0.888889,1,0.952381,1,1,0.5,0.833333,1,0.448276]
precision
0.7911244019138757 [1,0.681818,0.863636,1,0.875,0.95,0.375,0.85,0.947368,0.368421]
predictive_accuracy
0.865
predictive_accuracy
0.815
predictive_accuracy
0.85
predictive_accuracy
0.905
predictive_accuracy
0.805
predictive_accuracy
0.855
predictive_accuracy
0.85
predictive_accuracy
0.875
predictive_accuracy
0.855
predictive_accuracy
0.78
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
0.865 [0.95,0.9,1,0.9,0.9,0.95,0.6,0.8,1,0.65]
recall
0.815 [1,0.75,0.95,0.8,0.8,0.9,0.45,0.95,0.95,0.6]
recall
0.85 [1,0.9,1,0.85,0.95,0.95,0.55,0.8,1,0.5]
recall
0.905 [1,0.85,0.95,1,1,0.95,0.8,0.9,0.95,0.65]
recall
0.805 [1,0.7,0.9,0.9,0.8,0.85,0.4,0.95,1,0.55]
recall
0.855 [1,0.85,0.95,0.8,0.8,1,0.6,1,1,0.55]
recall
0.85 [1,0.8,0.9,0.95,0.8,0.95,0.7,1,1,0.4]
recall
0.875 [1,0.8,1,1,0.8,0.95,0.65,0.9,0.95,0.7]
recall
0.855 [1,0.8,1,1,0.85,0.95,0.3,1,1,0.65]
recall
0.78 [1,0.75,0.95,0.9,0.7,0.95,0.45,0.85,0.9,0.35]
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.10555555555555571
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.1388888888888891
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.24444444444444474
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
0.16431676725154987
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.13784048752090225
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.158113883008419
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.20976176963403032
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.4594682917363411
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.5270462766947304
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.6992058987801015
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
490.74129200016614
usercpu_time_millis
498.5441499884473
usercpu_time_millis
490.18707699724473
usercpu_time_millis
491.8738010019297
usercpu_time_millis
498.52519600244705
usercpu_time_millis
497.4857159977546
usercpu_time_millis
500.51330200221855
usercpu_time_millis
497.41778199677356
usercpu_time_millis
499.64694699883694
usercpu_time_millis
491.2285689933924
usercpu_time_millis_testing
45.882831000199076
usercpu_time_millis_testing
46.15254499367438
usercpu_time_millis_testing
46.110747003694996
usercpu_time_millis_testing
45.68783200375037
usercpu_time_millis_testing
45.66268000053242
usercpu_time_millis_testing
46.215228001528885
usercpu_time_millis_testing
46.43327699886868
usercpu_time_millis_testing
45.58107299817493
usercpu_time_millis_testing
45.733136001217645
usercpu_time_millis_testing
46.02645900013158
usercpu_time_millis_training
444.85846099996706
usercpu_time_millis_training
452.39160499477293
usercpu_time_millis_training
444.07632999354973
usercpu_time_millis_training
446.1859689981793
usercpu_time_millis_training
452.8625160019146
usercpu_time_millis_training
451.2704879962257
usercpu_time_millis_training
454.0800250033499
usercpu_time_millis_training
451.8367089985986
usercpu_time_millis_training
453.9138109976193
usercpu_time_millis_training
445.2021099932608
wall_clock_time_millis
491.5728569030762
wall_clock_time_millis
529.6406745910645
wall_clock_time_millis
490.386962890625
wall_clock_time_millis
492.1135902404785
wall_clock_time_millis
498.7452030181885
wall_clock_time_millis
497.71666526794434
wall_clock_time_millis
500.72407722473145
wall_clock_time_millis
497.65658378601074
wall_clock_time_millis
499.8452663421631
wall_clock_time_millis
491.4686679840088
wall_clock_time_millis_testing
45.91798782348633
wall_clock_time_millis_testing
46.49782180786133
wall_clock_time_millis_testing
46.124935150146484
wall_clock_time_millis_testing
45.72939872741699
wall_clock_time_millis_testing
45.69602012634277
wall_clock_time_millis_testing
46.29182815551758
wall_clock_time_millis_testing
46.4475154876709
wall_clock_time_millis_testing
45.595645904541016
wall_clock_time_millis_testing
45.74847221374512
wall_clock_time_millis_testing
46.06175422668457
wall_clock_time_millis_training
445.65486907958984
wall_clock_time_millis_training
483.1428527832031
wall_clock_time_millis_training
444.2620277404785
wall_clock_time_millis_training
446.3841915130615
wall_clock_time_millis_training
453.0491828918457
wall_clock_time_millis_training
451.42483711242676
wall_clock_time_millis_training
454.27656173706055
wall_clock_time_millis_training
452.0609378814697
wall_clock_time_millis_training
454.09679412841797
wall_clock_time_millis_training
445.4069137573242