10326846
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)
8182516
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
0.08310678715769201
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.16839646793719543
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.16837265611138993
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
26276
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
21575378
description
https://api.openml.org/data/download/21575378/description.xml
-1
21575379
predictions
https://api.openml.org/data/download/21575379/predictions.arff
area_under_roc_curve
0.9005555555555556 [0.995,0.9025,0.973889,0.938333,0.9225,0.936111,0.714167,0.944167,0.981389,0.6975]
average_cost
0
f_measure
0.8218721944591082 [0.994975,0.779582,0.964467,0.903061,0.862155,0.921053,0.486216,0.897756,0.953317,0.45614]
kappa
0.8011111111111111
kb_relative_information_score
0.8128094091896457
mean_absolute_error
0.03580000000000024
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8242517074617124 [1,0.727273,0.979381,0.921875,0.864322,0.972222,0.487437,0.895522,0.937198,0.457286]
predictive_accuracy
0.821
prior_entropy
3.3219280948872383
recall
0.821 [0.99,0.84,0.95,0.885,0.86,0.875,0.485,0.9,0.97,0.455]
relative_absolute_error
0.1988888888888841
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18920887928424565
root_relative_squared_error
0.6306962642808093
total_cost
0
area_under_roc_curve
0.9055555555555557 [0.975,0.95,0.975,0.925,0.936111,0.975,0.75,0.847222,0.997222,0.725]
area_under_roc_curve
0.902777777777778 [1,0.861111,0.975,0.916667,0.913889,0.947222,0.727778,0.966667,0.972222,0.747222]
area_under_roc_curve
0.9055555555555556 [1,0.908333,0.997222,0.925,0.963889,0.975,0.669444,0.947222,1,0.669444]
area_under_roc_curve
0.9222222222222222 [1,0.913889,0.975,0.961111,0.991667,0.875,0.827778,0.947222,0.972222,0.758333]
area_under_roc_curve
0.8833333333333333 [1,0.852778,0.95,0.919444,0.947222,0.922222,0.594444,0.963889,1,0.683333]
area_under_roc_curve
0.9027777777777777 [1,0.911111,0.972222,0.897222,0.894444,0.947222,0.722222,0.994444,0.994444,0.694444]
area_under_roc_curve
0.8916666666666667 [0.975,0.905556,0.95,0.941667,0.891667,0.897222,0.744444,0.969444,0.991667,0.65]
area_under_roc_curve
0.9027777777777779 [1,0.911111,0.997222,1,0.897222,0.95,0.713889,0.916667,0.969444,0.672222]
area_under_roc_curve
0.9194444444444443 [1,0.927778,1,0.972222,0.925,0.925,0.683333,0.997222,1,0.763889]
area_under_roc_curve
0.8694444444444446 [1,0.883333,0.947222,0.925,0.863889,0.947222,0.708333,0.891667,0.916667,0.611111]
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
0.8309302079906162 [0.974359,0.791667,0.974359,0.918919,0.837209,0.974359,0.55,0.8,0.97561,0.512821]
f_measure
0.8244367250208071 [1,0.75,0.974359,0.85,0.829268,0.923077,0.526316,0.904762,0.95,0.536585]
f_measure
0.8286895997616361 [1,0.790698,0.97561,0.918919,0.883721,0.974359,0.410256,0.923077,1,0.410256]
f_measure
0.8588977230298841 [1,0.829268,0.974359,0.863636,0.930233,0.857143,0.666667,0.923077,0.95,0.594595]
f_measure
0.7905241093735585 [1,0.697674,0.947368,0.871795,0.923077,0.894737,0.277778,0.883721,1,0.409091]
f_measure
0.8244332765385397 [1,0.809524,0.95,0.864865,0.842105,0.923077,0.5,0.952381,0.952381,0.45]
f_measure
0.8027641373134999 [0.974359,0.772727,0.947368,0.878049,0.820513,0.864865,0.52381,0.926829,0.930233,0.388889]
f_measure
0.8260365030480266 [1,0.809524,0.97561,1,0.864865,0.947368,0.465116,0.85,0.926829,0.421053]
f_measure
0.8549977858215023 [1,0.782609,1,0.95,0.918919,0.918919,0.470588,0.97561,1,0.533333]
f_measure
0.771116556116556 [1,0.761905,0.923077,0.918919,0.769231,0.923077,0.444444,0.820513,0.85,0.3]
kappa
0.8111111111111111
kappa
0.8055555555555555
kappa
0.8111111111111111
kappa
0.8444444444444444
kappa
0.7666666666666667
kappa
0.8055555555555555
kappa
0.7833333333333334
kappa
0.8055555555555555
kappa
0.8388888888888889
kappa
0.7388888888888889
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.7803909269822613
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.7542469897182446
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.03500000000000002
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
0.842321019941157 [1,0.678571,1,1,0.782609,1,0.55,0.933333,0.952381,0.526316]
precision
0.8249893673577884 [1,0.75,1,0.85,0.809524,0.947368,0.555556,0.863636,0.95,0.52381]
precision
0.8307072027895828 [1,0.73913,0.952381,1,0.826087,1,0.421053,0.947368,1,0.421053]
precision
0.865154657452746 [1,0.809524,1,0.791667,0.869565,1,0.636364,0.947368,0.95,0.647059]
precision
0.7952310577167556 [1,0.652174,1,0.894737,0.947368,0.944444,0.3125,0.826087,1,0.375]
precision
0.8268342871438847 [1,0.772727,0.95,0.941176,0.888889,0.947368,0.5,0.909091,0.909091,0.45]
precision
0.806058504637553 [1,0.708333,1,0.857143,0.842105,0.941176,0.5,0.904762,0.869565,0.4375]
precision
0.8300273653598462 [1,0.772727,0.952381,1,0.941176,1,0.434783,0.85,0.904762,0.444444]
precision
0.8646117216117216 [1,0.692308,1,0.95,1,1,0.571429,0.952381,1,0.48]
precision
0.7803588516746411 [1,0.727273,0.947368,1,0.789474,0.947368,0.4,0.842105,0.85,0.3]
predictive_accuracy
0.83
predictive_accuracy
0.825
predictive_accuracy
0.83
predictive_accuracy
0.86
predictive_accuracy
0.79
predictive_accuracy
0.825
predictive_accuracy
0.805
predictive_accuracy
0.825
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
0.83 [0.95,0.95,0.95,0.85,0.9,0.95,0.55,0.7,1,0.5]
recall
0.825 [1,0.75,0.95,0.85,0.85,0.9,0.5,0.95,0.95,0.55]
recall
0.83 [1,0.85,1,0.85,0.95,0.95,0.4,0.9,1,0.4]
recall
0.86 [1,0.85,0.95,0.95,1,0.75,0.7,0.9,0.95,0.55]
recall
0.79 [1,0.75,0.9,0.85,0.9,0.85,0.25,0.95,1,0.45]
recall
0.825 [1,0.85,0.95,0.8,0.8,0.9,0.5,1,1,0.45]
recall
0.805 [0.95,0.85,0.9,0.9,0.8,0.8,0.55,0.95,1,0.35]
recall
0.825 [1,0.85,1,1,0.8,0.9,0.5,0.85,0.95,0.4]
recall
0.855 [1,0.9,1,0.95,0.85,0.85,0.4,1,1,0.6]
recall
0.765 [1,0.8,0.9,0.85,0.75,0.9,0.5,0.8,0.85,0.3]
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.19444444444444475
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
0.1843908891458578
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.21679483388678797
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6236095644623241
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
512.0678250023047
usercpu_time_millis
513.0363610005588
usercpu_time_millis
524.5203929953277
usercpu_time_millis
502.03717299882555
usercpu_time_millis
513.2313979993341
usercpu_time_millis
517.4222229979932
usercpu_time_millis
515.0334629943245
usercpu_time_millis
519.080511003267
usercpu_time_millis
554.9689200051944
usercpu_time_millis
569.8243040023954
usercpu_time_millis_testing
35.839158001181204
usercpu_time_millis_testing
35.92153800127562
usercpu_time_millis_testing
36.12355299992487
usercpu_time_millis_testing
36.142425997240935
usercpu_time_millis_testing
37.29497900349088
usercpu_time_millis_testing
36.860316002275795
usercpu_time_millis_testing
38.47564099851297
usercpu_time_millis_testing
38.5988210036885
usercpu_time_millis_testing
52.70799500431167
usercpu_time_millis_testing
39.578891002747696
usercpu_time_millis_training
476.22866700112354
usercpu_time_millis_training
477.1148229992832
usercpu_time_millis_training
488.39683999540284
usercpu_time_millis_training
465.8947470015846
usercpu_time_millis_training
475.93641899584327
usercpu_time_millis_training
480.56190699571744
usercpu_time_millis_training
476.55782199581154
usercpu_time_millis_training
480.4816899995785
usercpu_time_millis_training
502.2609250008827
usercpu_time_millis_training
530.2454129996477
wall_clock_time_millis
578.0689716339111
wall_clock_time_millis
513.2782459259033
wall_clock_time_millis
524.7278213500977
wall_clock_time_millis
502.2435188293457
wall_clock_time_millis
513.4143829345703
wall_clock_time_millis
517.6293849945068
wall_clock_time_millis
515.2292251586914
wall_clock_time_millis
519.3321704864502
wall_clock_time_millis
555.185079574585
wall_clock_time_millis
570.098876953125
wall_clock_time_millis_testing
35.85410118103027
wall_clock_time_millis_testing
35.97545623779297
wall_clock_time_millis_testing
36.13591194152832
wall_clock_time_millis_testing
36.15856170654297
wall_clock_time_millis_testing
37.30940818786621
wall_clock_time_millis_testing
36.87620162963867
wall_clock_time_millis_testing
38.48695755004883
wall_clock_time_millis_testing
38.611412048339844
wall_clock_time_millis_testing
52.72507667541504
wall_clock_time_millis_testing
39.59178924560547
wall_clock_time_millis_training
542.2148704528809
wall_clock_time_millis_training
477.30278968811035
wall_clock_time_millis_training
488.59190940856934
wall_clock_time_millis_training
466.08495712280273
wall_clock_time_millis_training
476.1049747467041
wall_clock_time_millis_training
480.75318336486816
wall_clock_time_millis_training
476.7422676086426
wall_clock_time_millis_training
480.72075843811035
wall_clock_time_millis_training
502.4600028991699
wall_clock_time_millis_training
530.5070877075195