10328583
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)
8184226
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
7312.229390490552
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.21571692311675061
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0001372729326187754
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
33853
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
21578852
description
https://api.openml.org/data/download/21578852/description.xml
-1
21578853
predictions
https://api.openml.org/data/download/21578853/predictions.arff
area_under_roc_curve
0.9113888888888889 [1,0.886667,0.960556,0.938056,0.884444,0.953056,0.769167,0.961944,0.983889,0.776111]
average_cost
0
f_measure
0.8405264083843194 [1,0.784314,0.943878,0.900763,0.79798,0.917293,0.59335,0.901679,0.974874,0.591133]
kappa
0.8227777777777778
kb_relative_information_score
0.8332016802555785
mean_absolute_error
0.031900000000000185
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8411602862001818 [1,0.769231,0.963542,0.917098,0.806122,0.919598,0.60733,0.866359,0.979798,0.582524]
predictive_accuracy
0.8405
prior_entropy
3.3219280948872383
recall
0.8405 [1,0.8,0.925,0.885,0.79,0.915,0.58,0.94,0.97,0.6]
relative_absolute_error
0.1772222222222178
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17860571099491804
root_relative_squared_error
0.595352369983051
total_cost
0
area_under_roc_curve
0.9111111111111111 [1,0.955556,0.972222,0.925,0.961111,0.975,0.716667,0.95,1,0.655556]
area_under_roc_curve
0.9111111111111111 [1,0.908333,0.925,0.925,0.863889,0.941667,0.761111,0.961111,0.975,0.85]
area_under_roc_curve
0.9083333333333334 [1,0.930556,0.975,0.897222,0.933333,0.969444,0.797222,0.897222,0.997222,0.686111]
area_under_roc_curve
0.9416666666666668 [1,0.891667,0.975,0.991667,0.963889,0.922222,0.822222,0.922222,0.975,0.952778]
area_under_roc_curve
0.8888888888888888 [1,0.833333,0.925,0.913889,0.863889,0.916667,0.725,0.986111,1,0.725]
area_under_roc_curve
0.9055555555555556 [1,0.866667,0.947222,0.891667,0.838889,0.966667,0.8,0.994444,1,0.75]
area_under_roc_curve
0.9111111111111111 [1,0.869444,0.95,0.997222,0.869444,0.944444,0.777778,0.983333,0.997222,0.722222]
area_under_roc_curve
0.9305555555555556 [1,0.886111,0.997222,0.944444,0.847222,0.972222,0.861111,0.991667,0.947222,0.858333]
area_under_roc_curve
0.9138888888888889 [1,0.841667,0.997222,0.994444,0.863889,0.95,0.686111,0.991667,1,0.813889]
area_under_roc_curve
0.8916666666666666 [1,0.883333,0.941667,0.9,0.838889,0.972222,0.744444,0.941667,0.947222,0.747222]
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
0.8368324816561458 [1,0.826087,0.95,0.918919,0.863636,0.974359,0.47619,0.947368,1,0.411765]
f_measure
0.8406739692899647 [1,0.790698,0.918919,0.918919,0.769231,0.878049,0.611111,0.863636,0.974359,0.681818]
f_measure
0.8314209194299947 [1,0.8,0.974359,0.864865,0.818182,0.926829,0.604651,0.864865,0.97561,0.484848]
f_measure
0.8945874462464203 [1,0.820513,0.974359,0.930233,0.883721,0.894737,0.764706,0.894737,0.974359,0.808511]
f_measure
0.7981947895362529 [1,0.7,0.918919,0.829268,0.769231,0.85,0.512821,0.888889,1,0.512821]
f_measure
0.8296096009253903 [1,0.789474,0.923077,0.820513,0.736842,0.904762,0.619048,0.952381,1,0.55]
f_measure
0.8389774772260679 [1,0.810811,0.947368,0.97561,0.810811,0.9,0.6,0.869565,0.97561,0.5]
f_measure
0.8741114359265238 [1,0.780488,0.97561,0.9,0.8,0.95,0.75,0.930233,0.923077,0.731707]
f_measure
0.8412172379357754 [1,0.756757,0.97561,0.952381,0.769231,0.947368,0.484848,0.930233,1,0.595745]
f_measure
0.8077205129772522 [1,0.761905,0.878049,0.888889,0.736842,0.95,0.52381,0.878049,0.923077,0.536585]
kappa
0.8222222222222222
kappa
0.8222222222222222
kappa
0.8166666666666667
kappa
0.8833333333333333
kappa
0.7777777777777778
kappa
0.8111111111111111
kappa
0.8222222222222222
kappa
0.8611111111111112
kappa
0.8277777777777777
kappa
0.7833333333333334
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.8901954634911305
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.8692803136799173
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.7960772893406711
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.021000000000000005
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.02500000000000001
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.03900000000000002
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
0.8426981351981351 [1,0.730769,0.95,1,0.791667,1,0.454545,1,1,0.5]
precision
0.8489913642802659 [1,0.73913,1,1,0.789474,0.857143,0.6875,0.791667,1,0.625]
precision
0.8390097805008291 [1,0.72,1,0.941176,0.75,0.904762,0.565217,0.941176,0.952381,0.615385]
precision
0.905892145823496 [1,0.842105,1,0.869565,0.826087,0.944444,0.928571,0.944444,1,0.703704]
precision
0.8001629072681705 [1,0.7,1,0.809524,0.789474,0.85,0.526316,0.8,1,0.526316]
precision
0.8314221158958002 [1,0.833333,0.947368,0.842105,0.777778,0.863636,0.590909,0.909091,1,0.55]
precision
0.8438698556345615 [1,0.882353,1,0.952381,0.882353,0.9,0.6,0.769231,0.952381,0.5]
precision
0.8778838400348699 [1,0.761905,0.952381,0.9,0.933333,0.95,0.75,0.869565,0.947368,0.714286]
precision
0.8477943308741531 [1,0.823529,0.952381,0.909091,0.789474,1,0.615385,0.869565,1,0.518519]
precision
0.8140514164198375 [1,0.727273,0.857143,1,0.777778,0.95,0.5,0.857143,0.947368,0.52381]
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.835
predictive_accuracy
0.895
predictive_accuracy
0.8
predictive_accuracy
0.83
predictive_accuracy
0.84
predictive_accuracy
0.875
predictive_accuracy
0.845
predictive_accuracy
0.805
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
0.84 [1,0.95,0.95,0.85,0.95,0.95,0.5,0.9,1,0.35]
recall
0.84 [1,0.85,0.85,0.85,0.75,0.9,0.55,0.95,0.95,0.75]
recall
0.835 [1,0.9,0.95,0.8,0.9,0.95,0.65,0.8,1,0.4]
recall
0.895 [1,0.8,0.95,1,0.95,0.85,0.65,0.85,0.95,0.95]
recall
0.8 [1,0.7,0.85,0.85,0.75,0.85,0.5,1,1,0.5]
recall
0.83 [1,0.75,0.9,0.8,0.7,0.95,0.65,1,1,0.55]
recall
0.84 [1,0.75,0.9,1,0.75,0.9,0.6,1,1,0.5]
recall
0.875 [1,0.8,1,0.9,0.7,0.95,0.75,1,0.9,0.75]
recall
0.845 [1,0.7,1,1,0.75,0.9,0.4,1,1,0.7]
recall
0.805 [1,0.8,0.9,0.8,0.7,0.95,0.55,0.9,0.9,0.55]
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.11666666666666682
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.1388888888888891
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.21666666666666703
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
0.1788854381999832
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.1449137674618944
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.158113883008419
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.19748417658131504
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.48304589153964833
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.5270462766947304
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6582805886043839
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
283.4635250037536
usercpu_time_millis
282.5312749919249
usercpu_time_millis
279.0524750089389
usercpu_time_millis
278.63086700381245
usercpu_time_millis
280.6313909968594
usercpu_time_millis
270.7724630017765
usercpu_time_millis
273.45792000414804
usercpu_time_millis
281.74845200555865
usercpu_time_millis
285.4651429952355
usercpu_time_millis
276.61625100154197
usercpu_time_millis_testing
28.97434100304963
usercpu_time_millis_testing
29.047919997537974
usercpu_time_millis_testing
28.895464005472604
usercpu_time_millis_testing
29.177652002545074
usercpu_time_millis_testing
27.98532199813053
usercpu_time_millis_testing
27.81217599840602
usercpu_time_millis_testing
29.47226400283398
usercpu_time_millis_testing
29.72334800142562
usercpu_time_millis_testing
30.03970699501224
usercpu_time_millis_testing
28.535479999845847
usercpu_time_millis_training
254.48918400070397
usercpu_time_millis_training
253.4833549943869
usercpu_time_millis_training
250.15701100346632
usercpu_time_millis_training
249.45321500126738
usercpu_time_millis_training
252.64606899872888
usercpu_time_millis_training
242.96028700337047
usercpu_time_millis_training
243.98565600131406
usercpu_time_millis_training
252.02510400413303
usercpu_time_millis_training
255.42543600022327
usercpu_time_millis_training
248.08077100169612
wall_clock_time_millis
315.49620628356934
wall_clock_time_millis
282.6046943664551
wall_clock_time_millis
279.08897399902344
wall_clock_time_millis
290.70091247558594
wall_clock_time_millis
296.66805267333984
wall_clock_time_millis
270.8094120025635
wall_clock_time_millis
345.5047607421875
wall_clock_time_millis
313.8144016265869
wall_clock_time_millis
285.50219535827637
wall_clock_time_millis
472.7013111114502
wall_clock_time_millis_testing
28.98716926574707
wall_clock_time_millis_testing
29.061317443847656
wall_clock_time_millis_testing
28.908252716064453
wall_clock_time_millis_testing
29.1900634765625
wall_clock_time_millis_testing
43.997764587402344
wall_clock_time_millis_testing
27.826547622680664
wall_clock_time_millis_testing
29.48451042175293
wall_clock_time_millis_testing
61.7365837097168
wall_clock_time_millis_testing
30.054569244384766
wall_clock_time_millis_testing
28.549671173095703
wall_clock_time_millis_training
286.50903701782227
wall_clock_time_millis_training
253.54337692260742
wall_clock_time_millis_training
250.18072128295898
wall_clock_time_millis_training
261.51084899902344
wall_clock_time_millis_training
252.6702880859375
wall_clock_time_millis_training
242.9828643798828
wall_clock_time_millis_training
316.02025032043457
wall_clock_time_millis_training
252.07781791687012
wall_clock_time_millis_training
255.4476261138916
wall_clock_time_millis_training
444.1516399383545