10326861
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)
8182531
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
3.6080862947181074
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5499049407262779
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.03110141304760934
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
17547
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
21575408
description
https://api.openml.org/data/download/21575408/description.xml
-1
21575409
predictions
https://api.openml.org/data/download/21575409/predictions.arff
area_under_roc_curve
0.9047222222222222 [0.9875,0.879444,0.973889,0.942778,0.921389,0.971667,0.728611,0.946667,0.986389,0.708889]
average_cost
0
f_measure
0.828012717803539 [0.987342,0.791878,0.964467,0.90404,0.853598,0.927184,0.506143,0.883495,0.977444,0.484536]
kappa
0.8094444444444444
kb_relative_information_score
0.8206525903688511
mean_absolute_error
0.03430000000000022
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8280979101970103 [1,0.804124,0.979381,0.913265,0.847291,0.900943,0.497585,0.858491,0.979899,0.5]
predictive_accuracy
0.8284999999999999
prior_entropy
3.3219280948872383
recall
0.8285 [0.975,0.78,0.95,0.895,0.86,0.955,0.515,0.91,0.975,0.47]
relative_absolute_error
0.19055555555555093
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18520259177452195
root_relative_squared_error
0.6173419725817304
total_cost
0
area_under_roc_curve
0.8944444444444444 [0.975,0.9,0.972222,0.925,0.916667,0.972222,0.672222,0.869444,0.997222,0.744444]
area_under_roc_curve
0.8916666666666666 [0.975,0.888889,0.975,0.919444,0.886111,0.941667,0.697222,0.913889,0.975,0.744444]
area_under_roc_curve
0.9027777777777779 [0.95,0.858333,1,0.922222,0.961111,0.969444,0.722222,0.919444,1,0.725]
area_under_roc_curve
0.9333333333333335 [1,0.847222,0.975,0.963889,0.991667,0.972222,0.877778,0.966667,0.975,0.763889]
area_under_roc_curve
0.8888888888888888 [1,0.811111,0.95,0.894444,0.944444,0.991667,0.691667,0.936111,1,0.669444]
area_under_roc_curve
0.9138888888888889 [1,0.95,1,0.897222,0.886111,0.966667,0.747222,0.994444,1,0.697222]
area_under_roc_curve
0.9111111111111113 [0.975,0.866667,0.95,0.966667,0.894444,0.963889,0.869444,0.986111,0.997222,0.641667]
area_under_roc_curve
0.9166666666666665 [1,0.891667,0.972222,0.994444,0.897222,1,0.744444,0.941667,0.972222,0.752778]
area_under_roc_curve
0.9222222222222222 [1,0.891667,1,0.997222,0.969444,0.975,0.608333,0.997222,1,0.783333]
area_under_roc_curve
0.8722222222222225 [1,0.888889,0.944444,0.947222,0.866667,0.963889,0.655556,0.941667,0.947222,0.566667]
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
0.8113691050357345 [0.974359,0.73913,0.95,0.918919,0.85,0.95,0.421053,0.810811,0.97561,0.52381]
f_measure
0.806802465826856 [0.974359,0.8,0.974359,0.871795,0.780488,0.878049,0.461538,0.829268,0.974359,0.52381]
f_measure
0.8248893596775495 [0.947368,0.731707,1,0.894737,0.863636,0.926829,0.5,0.871795,1,0.512821]
f_measure
0.8773277497696103 [1,0.8,0.974359,0.883721,0.930233,0.95,0.727273,0.904762,0.974359,0.628571]
f_measure
0.7990406871491745 [1,0.684211,0.947368,0.842105,0.9,0.930233,0.439024,0.837209,1,0.410256]
f_measure
0.8447987775330522 [1,0.947368,1,0.864865,0.780488,0.904762,0.536585,0.952381,1,0.461538]
f_measure
0.8300931990039002 [0.974359,0.789474,0.947368,0.904762,0.842105,0.883721,0.680851,0.888889,0.97561,0.413793]
f_measure
0.8503719506158529 [1,0.820513,0.95,0.952381,0.864865,1,0.52381,0.878049,0.95,0.564103]
f_measure
0.8537167887187558 [1,0.820513,1,0.97561,0.926829,0.974359,0.322581,0.97561,1,0.541667]
f_measure
0.768325582694332 [1,0.8,0.9,0.923077,0.789474,0.883721,0.363636,0.878049,0.923077,0.222222]
kappa
0.788888888888889
kappa
0.7833333333333334
kappa
0.8055555555555555
kappa
0.8666666666666667
kappa
0.7777777777777778
kappa
0.8277777777777777
kappa
0.8222222222222222
kappa
0.8333333333333333
kappa
0.8444444444444444
kappa
0.7444444444444445
kb_relative_information_score
0.8013060767934745
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8745091011327207
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.759475777171048
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.024000000000000007
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.046
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
0.818302449184802 [1,0.653846,0.95,1,0.85,0.95,0.444444,0.882353,0.952381,0.5]
precision
0.8096992481203007 [1,0.8,1,0.894737,0.761905,0.857143,0.473684,0.809524,1,0.5]
precision
0.8276211361737676 [1,0.714286,1,0.944444,0.791667,0.904762,0.5,0.894737,1,0.526316]
precision
0.8842621870882739 [1,0.933333,1,0.826087,0.869565,0.95,0.666667,0.863636,1,0.733333]
precision
0.8012909084304967 [1,0.722222,1,0.888889,0.9,0.869565,0.428571,0.782609,1,0.421053]
precision
0.8473302239556111 [1,1,1,0.941176,0.761905,0.863636,0.52381,0.909091,1,0.473684]
precision
0.8423585754020536 [1,0.833333,1,0.863636,0.888889,0.826087,0.592593,0.8,0.952381,0.666667]
precision
0.8528462868400949 [1,0.842105,0.95,0.909091,0.941176,1,0.5,0.857143,0.95,0.578947]
precision
0.8570460241512872 [1,0.842105,1,0.952381,0.904762,1,0.454545,0.952381,1,0.464286]
precision
0.7694633322436526 [1,0.8,0.9,0.947368,0.833333,0.826087,0.333333,0.857143,0.947368,0.25]
predictive_accuracy
0.81
predictive_accuracy
0.805
predictive_accuracy
0.825
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.845
predictive_accuracy
0.84
predictive_accuracy
0.85
predictive_accuracy
0.86
predictive_accuracy
0.77
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
0.81 [0.95,0.85,0.95,0.85,0.85,0.95,0.4,0.75,1,0.55]
recall
0.805 [0.95,0.8,0.95,0.85,0.8,0.9,0.45,0.85,0.95,0.55]
recall
0.825 [0.9,0.75,1,0.85,0.95,0.95,0.5,0.85,1,0.5]
recall
0.88 [1,0.7,0.95,0.95,1,0.95,0.8,0.95,0.95,0.55]
recall
0.8 [1,0.65,0.9,0.8,0.9,1,0.45,0.9,1,0.4]
recall
0.845 [1,0.9,1,0.8,0.8,0.95,0.55,1,1,0.45]
recall
0.84 [0.95,0.75,0.9,0.95,0.8,0.95,0.8,1,1,0.3]
recall
0.85 [1,0.8,0.95,1,0.8,1,0.55,0.9,0.95,0.55]
recall
0.86 [1,0.8,1,1,0.95,0.95,0.25,1,1,0.65]
recall
0.77 [1,0.8,0.9,0.9,0.75,0.95,0.4,0.9,0.9,0.2]
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.13333333333333353
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.2555555555555558
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
0.19493588689617933
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.1549193338482967
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.21447610589527216
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.5163977794943226
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.714920352984241
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
990.7364879982197
usercpu_time_millis
960.836965998169
usercpu_time_millis
1012.4996650047251
usercpu_time_millis
1007.0564320049016
usercpu_time_millis
982.5469480056199
usercpu_time_millis
981.6616560055991
usercpu_time_millis
988.8453650055453
usercpu_time_millis
972.1805099979974
usercpu_time_millis
976.8763399988529
usercpu_time_millis
979.9385570004233
usercpu_time_millis_testing
54.66847799834795
usercpu_time_millis_testing
54.73910200089449
usercpu_time_millis_testing
56.139246000384446
usercpu_time_millis_testing
55.02988100488437
usercpu_time_millis_testing
54.16621400217991
usercpu_time_millis_testing
56.765936002193484
usercpu_time_millis_testing
54.630662001727615
usercpu_time_millis_testing
54.70368399983272
usercpu_time_millis_testing
54.82563500117976
usercpu_time_millis_testing
54.79561899846885
usercpu_time_millis_training
936.0680099998717
usercpu_time_millis_training
906.0978639972745
usercpu_time_millis_training
956.3604190043407
usercpu_time_millis_training
952.0265510000172
usercpu_time_millis_training
928.38073400344
usercpu_time_millis_training
924.8957200034056
usercpu_time_millis_training
934.2147030038177
usercpu_time_millis_training
917.4768259981647
usercpu_time_millis_training
922.0507049976732
usercpu_time_millis_training
925.1429380019545
wall_clock_time_millis
992.1197891235352
wall_clock_time_millis
961.3900184631348
wall_clock_time_millis
1013.0994319915771
wall_clock_time_millis
1007.6630115509033
wall_clock_time_millis
983.4957122802734
wall_clock_time_millis
982.0592403411865
wall_clock_time_millis
989.2199039459229
wall_clock_time_millis
972.4791049957275
wall_clock_time_millis
1077.0459175109863
wall_clock_time_millis
1100.0306606292725
wall_clock_time_millis_testing
54.70132827758789
wall_clock_time_millis_testing
54.79145050048828
wall_clock_time_millis_testing
56.15425109863281
wall_clock_time_millis_testing
55.045127868652344
wall_clock_time_millis_testing
54.19802665710449
wall_clock_time_millis_testing
56.78296089172363
wall_clock_time_millis_testing
54.685115814208984
wall_clock_time_millis_testing
54.757118225097656
wall_clock_time_millis_testing
74.83792304992676
wall_clock_time_millis_testing
86.81011199951172
wall_clock_time_millis_training
937.4184608459473
wall_clock_time_millis_training
906.5985679626465
wall_clock_time_millis_training
956.9451808929443
wall_clock_time_millis_training
952.617883682251
wall_clock_time_millis_training
929.297685623169
wall_clock_time_millis_training
925.2762794494629
wall_clock_time_millis_training
934.5347881317139
wall_clock_time_millis_training
917.7219867706299
wall_clock_time_millis_training
1002.2079944610596
wall_clock_time_millis_training
1013.2205486297607