10327076
8323
Heinrich Peters
16
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8182744
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
0.4212172063086123
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.30890982063706174
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.012608109887061762
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
11140
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.
16
mfeat-karhunen
https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff
-1
21575838
description
https://api.openml.org/data/download/21575838/description.xml
-1
21575839
predictions
https://api.openml.org/data/download/21575839/predictions.arff
area_under_roc_curve
0.8977777777777776 [0.941111,0.869444,0.943611,0.865278,0.881111,0.879444,0.937222,0.920278,0.795,0.945278]
average_cost
0
f_measure
0.8142974462444278 [0.890547,0.765,0.8933,0.810959,0.836957,0.791878,0.830275,0.800915,0.695402,0.82774]
kappa
0.7955555555555555
kb_relative_information_score
0.8075806217368436
mean_absolute_error
0.036800000000000256
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8227499395060646 [0.886139,0.765,0.8867,0.89697,0.916667,0.804124,0.766949,0.738397,0.817568,0.748988]
predictive_accuracy
0.816
prior_entropy
3.3219280948872383
recall
0.816 [0.895,0.765,0.9,0.74,0.77,0.78,0.905,0.875,0.605,0.925]
relative_absolute_error
0.20444444444443957
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19183326093250944
root_relative_squared_error
0.6394442031083549
total_cost
0
area_under_roc_curve
0.8916666666666667 [0.819444,0.886111,0.944444,0.888889,0.922222,0.888889,0.930556,0.902778,0.744444,0.988889]
area_under_roc_curve
0.8805555555555555 [0.938889,0.813889,0.944444,0.744444,0.866667,0.863889,0.930556,0.913889,0.847222,0.941667]
area_under_roc_curve
0.913888888888889 [0.969444,0.866667,0.986111,0.9,0.897222,0.883333,0.966667,0.922222,0.788889,0.958333]
area_under_roc_curve
0.9055555555555554 [0.891667,0.913889,0.916667,0.875,0.875,0.891667,0.958333,0.936111,0.888889,0.908333]
area_under_roc_curve
0.8777777777777779 [0.944444,0.833333,0.938889,0.863889,0.822222,0.816667,0.922222,0.933333,0.772222,0.930556]
area_under_roc_curve
0.8833333333333333 [0.994444,0.886111,0.944444,0.825,0.825,0.866667,0.927778,0.911111,0.769444,0.883333]
area_under_roc_curve
0.9166666666666667 [0.95,0.833333,0.947222,0.947222,0.913889,0.894444,0.922222,0.958333,0.811111,0.988889]
area_under_roc_curve
0.9000000000000001 [0.969444,0.886111,0.947222,0.816667,0.866667,0.911111,0.961111,0.933333,0.747222,0.961111]
area_under_roc_curve
0.925 [0.991667,0.866667,0.947222,0.941667,0.95,0.863889,0.969444,0.908333,0.869444,0.941667]
area_under_roc_curve
0.8833333333333333 [0.941667,0.908333,0.919444,0.85,0.872222,0.913889,0.883333,0.883333,0.711111,0.95]
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
0.8007728254486919 [0.742857,0.780488,0.9,0.8,0.894737,0.8,0.8,0.755556,0.625,0.909091]
f_measure
0.7827481146715837 [0.857143,0.702703,0.9,0.625,0.789474,0.769231,0.8,0.705882,0.8,0.878049]
f_measure
0.8431460215028893 [0.926829,0.789474,0.888889,0.888889,0.864865,0.761905,0.904762,0.894737,0.666667,0.844444]
f_measure
0.8306931069182911 [0.820513,0.829268,0.85,0.857143,0.857143,0.820513,0.844444,0.837209,0.8,0.790698]
f_measure
0.7768983549130607 [0.9,0.7,0.857143,0.769231,0.764706,0.722222,0.75,0.818182,0.6875,0.8]
f_measure
0.7910745342915908 [0.952381,0.780488,0.9,0.787879,0.787879,0.789474,0.782609,0.809524,0.666667,0.653846]
f_measure
0.8497378545003705 [0.947368,0.7,0.923077,0.923077,0.829268,0.842105,0.894737,0.844444,0.684211,0.909091]
f_measure
0.8142229547981339 [0.926829,0.780488,0.923077,0.722222,0.789474,0.809524,0.863636,0.818182,0.645161,0.863636]
f_measure
0.8643817670208094 [0.930233,0.789474,0.923077,0.878049,0.947368,0.769231,0.926829,0.790698,0.810811,0.878049]
f_measure
0.7871560319664321 [0.878049,0.790698,0.871795,0.823529,0.833333,0.829268,0.761905,0.761905,0.529412,0.791667]
kappa
0.7833333333333334
kappa
0.7611111111111112
kappa
0.8277777777777777
kappa
0.8111111111111111
kappa
0.7555555555555555
kappa
0.7666666666666667
kappa
0.8333333333333333
kappa
0.7999999999999999
kappa
0.85
kappa
0.7666666666666667
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.775162139529458
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.7803909269822614
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.811763651699081
kb_relative_information_score
0.8588227387743107
kb_relative_information_score
0.7803909269822614
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.04300000000000001
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.04200000000000001
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
0.8139682539682538 [0.866667,0.761905,0.9,0.8,0.944444,0.8,0.72,0.68,0.833333,0.833333]
precision
0.8030149403178466 [0.818182,0.764706,0.9,0.833333,0.833333,0.789474,0.72,0.580645,0.933333,0.857143]
precision
0.8524625244037008 [0.904762,0.833333,0.8,1,0.941176,0.727273,0.863636,0.944444,0.75,0.76]
precision
0.842547346627438 [0.842105,0.809524,0.85,1,1,0.842105,0.76,0.782609,0.8,0.73913]
precision
0.7978250740487582 [0.9,0.7,0.818182,0.789474,0.928571,0.8125,0.642857,0.75,0.916667,0.72]
precision
0.8246767815517815 [0.909091,0.761905,0.9,1,1,0.833333,0.692308,0.772727,0.846154,0.53125]
precision
0.8553149540517961 [1,0.7,0.947368,0.947368,0.809524,0.888889,0.944444,0.76,0.722222,0.833333]
precision
0.8275019936204147 [0.904762,0.761905,0.947368,0.8125,0.833333,0.772727,0.791667,0.75,0.909091,0.791667]
precision
0.8680271650994493 [0.869565,0.833333,0.947368,0.857143,1,0.789474,0.904762,0.73913,0.882353,0.857143]
precision
0.8014007969528566 [0.857143,0.73913,0.894737,1,0.9375,0.809524,0.727273,0.727273,0.642857,0.678571]
predictive_accuracy
0.805
predictive_accuracy
0.785
predictive_accuracy
0.845
predictive_accuracy
0.83
predictive_accuracy
0.78
predictive_accuracy
0.79
predictive_accuracy
0.85
predictive_accuracy
0.82
predictive_accuracy
0.865
predictive_accuracy
0.79
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
0.805 [0.65,0.8,0.9,0.8,0.85,0.8,0.9,0.85,0.5,1]
recall
0.785 [0.9,0.65,0.9,0.5,0.75,0.75,0.9,0.9,0.7,0.9]
recall
0.845 [0.95,0.75,1,0.8,0.8,0.8,0.95,0.85,0.6,0.95]
recall
0.83 [0.8,0.85,0.85,0.75,0.75,0.8,0.95,0.9,0.8,0.85]
recall
0.78 [0.9,0.7,0.9,0.75,0.65,0.65,0.9,0.9,0.55,0.9]
recall
0.79 [1,0.8,0.9,0.65,0.65,0.75,0.9,0.85,0.55,0.85]
recall
0.85 [0.9,0.7,0.9,0.9,0.85,0.8,0.85,0.95,0.65,1]
recall
0.82 [0.95,0.8,0.9,0.65,0.75,0.85,0.95,0.9,0.5,0.95]
recall
0.865 [1,0.75,0.9,0.9,0.9,0.75,0.95,0.85,0.75,0.9]
recall
0.79 [0.9,0.85,0.85,0.7,0.75,0.85,0.8,0.8,0.45,0.95]
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.2388888888888892
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.23333333333333364
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
0.19748417658131504
root_mean_squared_error
0.20736441353327723
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.16431676725154987
root_mean_squared_error
0.20493901531919198
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6912147117775912
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.6831300510639737
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
495.24563099839725
usercpu_time_millis
499.5422319989302
usercpu_time_millis
497.3375539993867
usercpu_time_millis
493.58817999018356
usercpu_time_millis
496.4162980031688
usercpu_time_millis
507.16003499837825
usercpu_time_millis
498.74963399634
usercpu_time_millis
504.9276809950243
usercpu_time_millis
518.0146909988252
usercpu_time_millis
519.5899620011915
usercpu_time_millis_testing
42.398015000799205
usercpu_time_millis_testing
43.09259499859763
usercpu_time_millis_testing
43.136808002600446
usercpu_time_millis_testing
42.94815699540777
usercpu_time_millis_testing
43.03169900231296
usercpu_time_millis_testing
43.531850998988375
usercpu_time_millis_testing
42.690021997259464
usercpu_time_millis_testing
44.15245099517051
usercpu_time_millis_testing
44.092402000387665
usercpu_time_millis_testing
43.88172699691495
usercpu_time_millis_training
452.84761599759804
usercpu_time_millis_training
456.4496370003326
usercpu_time_millis_training
454.2007459967863
usercpu_time_millis_training
450.6400229947758
usercpu_time_millis_training
453.3845990008558
usercpu_time_millis_training
463.6281839993899
usercpu_time_millis_training
456.0596119990805
usercpu_time_millis_training
460.77522999985376
usercpu_time_millis_training
473.9222889984376
usercpu_time_millis_training
475.7082350042765
wall_clock_time_millis
511.3525390625
wall_clock_time_millis
499.6049404144287
wall_clock_time_millis
497.4212646484375
wall_clock_time_millis
493.6678409576416
wall_clock_time_millis
496.49548530578613
wall_clock_time_millis
507.21240043640137
wall_clock_time_millis
498.81529808044434
wall_clock_time_millis
504.9939155578613
wall_clock_time_millis
518.1071758270264
wall_clock_time_millis
519.6406841278076
wall_clock_time_millis_testing
42.412757873535156
wall_clock_time_millis_testing
43.105363845825195
wall_clock_time_millis_testing
43.1520938873291
wall_clock_time_millis_testing
42.96302795410156
wall_clock_time_millis_testing
43.04623603820801
wall_clock_time_millis_testing
43.54739189147949
wall_clock_time_millis_testing
42.70529747009277
wall_clock_time_millis_testing
44.16775703430176
wall_clock_time_millis_testing
44.10505294799805
wall_clock_time_millis_testing
43.89548301696777
wall_clock_time_millis_training
468.93978118896484
wall_clock_time_millis_training
456.4995765686035
wall_clock_time_millis_training
454.2691707611084
wall_clock_time_millis_training
450.70481300354004
wall_clock_time_millis_training
453.4492492675781
wall_clock_time_millis_training
463.6650085449219
wall_clock_time_millis_training
456.11000061035156
wall_clock_time_millis_training
460.82615852355957
wall_clock_time_millis_training
474.0021228790283
wall_clock_time_millis_training
475.74520111083984