10315667
8323
Heinrich Peters
9981
Supervised Classification
15083
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1)
8174183
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
memory
null
15083
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": "fkceigenpro", "step_name": "fkceigenpro"}}]
15083
verbose
false
15083
bandwidth
5
15084
batch_size
"auto"
15084
coef0
1
15084
degree
4
15084
gamma
1e-06
15084
kernel
"laplace"
15084
kernel_params
null
15084
n_components
3000
15084
n_epoch
2
15084
random_state
47476
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
1468
cnae-9
https://www.openml.org/data/download/1586233/phpmcGu2X
-1
21552994
description
https://api.openml.org/data/download/21552994/description.xml
-1
21552995
predictions
https://api.openml.org/data/download/21552995/predictions.arff
area_under_roc_curve
0.9348958333333334 [0.980729,0.972396,0.933854,0.848958,0.978125,0.897396,0.941667,0.984896,0.876042]
average_cost
0
f_measure
0.8834223212077237 [0.962656,0.879699,0.856,0.767857,0.970464,0.868778,0.839695,0.966942,0.83871]
kappa
0.8697916666666667
kb_relative_information_score
0.878054934069124
mean_absolute_error
0.025720164609053436
mean_prior_absolute_error
0.197530864197526
number_of_instances
1080 [120,120,120,120,120,120,120,120,120]
precision
0.8905841324487243 [0.958678,0.80137,0.823077,0.826923,0.982906,0.950495,0.774648,0.959016,0.938144]
predictive_accuracy
0.8842592592592592
prior_entropy
3.1699250014422624
recall
0.8842592592592593 [0.966667,0.975,0.891667,0.716667,0.958333,0.8,0.916667,0.975,0.758333]
relative_absolute_error
0.13020833333333623
root_mean_prior_squared_error
0.3142696805273506
root_mean_squared_error
0.16037507477489585
root_relative_squared_error
0.5103103630798344
total_cost
0
area_under_roc_curve
0.9479166666666666 [0.958333,0.979167,0.947917,0.916667,1,0.916667,0.979167,0.958333,0.875]
area_under_roc_curve
0.9322916666666666 [1,0.989583,0.953125,0.932292,0.875,0.911458,0.984375,0.994792,0.75]
area_under_roc_curve
0.90625 [0.942708,0.84375,0.864583,0.8125,0.994792,0.875,0.953125,0.953125,0.916667]
area_under_roc_curve
0.9427083333333334 [1,0.984375,0.947917,0.833333,1,0.911458,0.9375,0.994792,0.875]
area_under_roc_curve
0.9322916666666666 [0.958333,0.994792,0.859375,0.901042,1,0.833333,0.979167,0.994792,0.869792]
area_under_roc_curve
0.9322916666666666 [1,0.989583,0.96875,0.708333,1,0.911458,0.895833,1,0.916667]
area_under_roc_curve
0.9270833333333334 [0.994792,0.989583,0.942708,0.776042,0.958333,0.916667,0.859375,1,0.90625]
area_under_roc_curve
0.9375 [0.994792,0.984375,0.942708,0.859375,1,0.958333,0.911458,0.958333,0.828125]
area_under_roc_curve
0.9375 [0.958333,0.979167,0.958333,0.916667,0.958333,0.869792,0.9375,0.994792,0.864583]
area_under_roc_curve
0.953125 [1,0.989583,0.953125,0.833333,0.994792,0.869792,0.979167,1,0.958333]
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
0.9091837630968064 [0.956522,0.857143,0.88,0.909091,1,0.909091,0.857143,0.956522,0.857143]
f_measure
0.874191278394177 [1,0.923077,0.916667,0.785714,0.857143,0.869565,0.888889,0.96,0.666667]
f_measure
0.8357403305229392 [0.846154,0.666667,0.782609,0.666667,0.96,0.857143,0.916667,0.916667,0.909091]
f_measure
0.8967124198042071 [1,0.888889,0.88,0.8,1,0.869565,0.814815,0.96,0.857143]
f_measure
0.8779829349394567 [0.956522,0.96,0.75,0.8,1,0.8,0.857143,0.96,0.818182]
f_measure
0.873244345878617 [1,0.923077,0.8,0.588235,1,0.869565,0.769231,1,0.909091]
f_measure
0.8682822652387869 [0.96,0.923077,0.846154,0.636364,0.956522,0.909091,0.75,1,0.833333]
f_measure
0.887728465844408 [0.96,0.888889,0.846154,0.75,1,0.956522,0.869565,0.956522,0.761905]
f_measure
0.8901560346970975 [0.956522,0.857143,0.956522,0.909091,0.956522,0.818182,0.814815,0.96,0.782609]
f_measure
0.9146211115776334 [1,0.923077,0.916667,0.8,0.96,0.818182,0.857143,1,0.956522]
kappa
0.8958333333333334
kappa
0.8645833333333335
kappa
0.8125000000000001
kappa
0.8854166666666666
kappa
0.8645833333333335
kappa
0.8645833333333335
kappa
0.8541666666666667
kappa
0.8749999999999999
kappa
0.8749999999999999
kappa
0.9062500000000001
kb_relative_information_score
0.9024439472552944
kb_relative_information_score
0.8731771314318831
kb_relative_information_score
0.8243991050595304
kb_relative_information_score
0.8926883419808241
kb_relative_information_score
0.8731771314318828
kb_relative_information_score
0.8731771314318831
kb_relative_information_score
0.8634215261574125
kb_relative_information_score
0.8829327367063535
kb_relative_information_score
0.8829327367063535
kb_relative_information_score
0.912199552529765
mean_absolute_error
0.020576131687242802
mean_absolute_error
0.026748971193415644
mean_absolute_error
0.03703703703703704
mean_absolute_error
0.022633744855967083
mean_absolute_error
0.026748971193415644
mean_absolute_error
0.026748971193415644
mean_absolute_error
0.028806584362139925
mean_absolute_error
0.024691358024691364
mean_absolute_error
0.024691358024691364
mean_absolute_error
0.01851851851851852
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
precision
0.9273504273504274 [1,0.75,0.846154,1,1,1,0.75,1,1]
precision
0.899275261775262 [1,0.857143,0.916667,0.6875,1,0.909091,0.8,0.923077,1]
precision
0.8474414474414474 [0.785714,0.6,0.818182,0.666667,0.923077,1,0.916667,0.916667,1]
precision
0.9124061124061124 [1,0.8,0.846154,1,1,0.909091,0.733333,0.923077,1]
precision
0.8905982905982908 [1,0.923077,0.75,0.769231,1,1,0.75,0.923077,0.9]
precision
0.9052429052429053 [1,0.857143,0.666667,1,1,0.909091,0.714286,1,1]
precision
0.8721408221408221 [0.923077,0.857143,0.785714,0.7,1,1,0.75,1,0.833333]
precision
0.8951967785301119 [0.923077,0.8,0.785714,0.75,1,1,0.909091,1,0.888889]
precision
0.9027324527324526 [1,0.75,1,1,1,0.9,0.733333,0.923077,0.818182]
precision
0.9274318274318274 [1,0.857143,0.916667,1,0.923077,0.9,0.75,1,1]
predictive_accuracy
0.9074074074074074
predictive_accuracy
0.8796296296296297
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.8981481481481481
predictive_accuracy
0.8796296296296297
predictive_accuracy
0.8796296296296297
predictive_accuracy
0.8703703703703703
predictive_accuracy
0.8888888888888888
predictive_accuracy
0.8888888888888888
predictive_accuracy
0.9166666666666667
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
recall
0.9074074074074074 [0.916667,1,0.916667,0.833333,1,0.833333,1,0.916667,0.75]
recall
0.8796296296296297 [1,1,0.916667,0.916667,0.75,0.833333,1,1,0.5]
recall
0.8333333333333334 [0.916667,0.75,0.75,0.666667,1,0.75,0.916667,0.916667,0.833333]
recall
0.8981481481481481 [1,1,0.916667,0.666667,1,0.833333,0.916667,1,0.75]
recall
0.8796296296296297 [0.916667,1,0.75,0.833333,1,0.666667,1,1,0.75]
recall
0.8796296296296297 [1,1,1,0.416667,1,0.833333,0.833333,1,0.833333]
recall
0.8703703703703703 [1,1,0.916667,0.583333,0.916667,0.833333,0.75,1,0.833333]
recall
0.8888888888888888 [1,1,0.916667,0.75,1,0.916667,0.833333,0.916667,0.666667]
recall
0.8888888888888888 [0.916667,1,0.916667,0.833333,0.916667,0.75,0.916667,1,0.75]
recall
0.9166666666666666 [1,1,0.916667,0.666667,1,0.75,1,1,0.916667]
relative_absolute_error
0.1041666666666664
relative_absolute_error
0.13541666666666632
relative_absolute_error
0.1874999999999995
relative_absolute_error
0.11458333333333305
relative_absolute_error
0.13541666666666632
relative_absolute_error
0.13541666666666632
relative_absolute_error
0.14583333333333295
relative_absolute_error
0.1249999999999997
relative_absolute_error
0.1249999999999997
relative_absolute_error
0.09374999999999975
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_squared_error
0.14344382763731175
root_mean_squared_error
0.1635511271542194
root_mean_squared_error
0.19245008972987526
root_mean_squared_error
0.15044515564140667
root_mean_squared_error
0.1635511271542194
root_mean_squared_error
0.1635511271542194
root_mean_squared_error
0.1697250257391052
root_mean_squared_error
0.15713484026367724
root_mean_squared_error
0.15713484026367724
root_mean_squared_error
0.13608276348795434
root_relative_squared_error
0.45643546458763784
root_relative_squared_error
0.5204164998665326
root_relative_squared_error
0.6123724356957938
root_relative_squared_error
0.4787135538781684
root_relative_squared_error
0.5204164998665326
root_relative_squared_error
0.5204164998665326
root_relative_squared_error
0.540061724867321
root_relative_squared_error
0.49999999999999944
root_relative_squared_error
0.49999999999999944
root_relative_squared_error
0.43301270189221874
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
964.2514869919978
usercpu_time_millis
940.5550619994756
usercpu_time_millis
944.8516470001778
usercpu_time_millis
962.8551119967597
usercpu_time_millis
921.3313349901
usercpu_time_millis
918.8165850209771
usercpu_time_millis
929.4063819979783
usercpu_time_millis
966.2508679903112
usercpu_time_millis
967.8620879858499
usercpu_time_millis
950.6718920019921
usercpu_time_millis_testing
12.361897999653593
usercpu_time_millis_testing
11.989566002739593
usercpu_time_millis_testing
11.77401099994313
usercpu_time_millis_testing
11.573063005926087
usercpu_time_millis_testing
11.921415993128903
usercpu_time_millis_testing
11.858043013489805
usercpu_time_millis_testing
12.07398300175555
usercpu_time_millis_testing
12.706548994174227
usercpu_time_millis_testing
12.49707599345129
usercpu_time_millis_testing
12.320923007791862
usercpu_time_millis_training
951.8895889923442
usercpu_time_millis_training
928.565495996736
usercpu_time_millis_training
933.0776360002346
usercpu_time_millis_training
951.2820489908336
usercpu_time_millis_training
909.4099189969711
usercpu_time_millis_training
906.9585420074873
usercpu_time_millis_training
917.3323989962228
usercpu_time_millis_training
953.544318996137
usercpu_time_millis_training
955.3650119923986
usercpu_time_millis_training
938.3509689942002
wall_clock_time_millis
964.4496440887451
wall_clock_time_millis
940.7374858856201
wall_clock_time_millis
944.9038505554199
wall_clock_time_millis
963.0546569824219
wall_clock_time_millis
921.5149879455566
wall_clock_time_millis
919.0304279327393
wall_clock_time_millis
929.4254779815674
wall_clock_time_millis
966.4521217346191
wall_clock_time_millis
967.9124355316162
wall_clock_time_millis
950.6998062133789
wall_clock_time_millis_testing
12.368202209472656
wall_clock_time_millis_testing
12.000083923339844
wall_clock_time_millis_testing
11.779069900512695
wall_clock_time_millis_testing
11.580228805541992
wall_clock_time_millis_testing
11.926889419555664
wall_clock_time_millis_testing
11.86823844909668
wall_clock_time_millis_testing
12.080192565917969
wall_clock_time_millis_testing
12.714862823486328
wall_clock_time_millis_testing
12.505054473876953
wall_clock_time_millis_testing
12.326478958129883
wall_clock_time_millis_training
952.0814418792725
wall_clock_time_millis_training
928.7374019622803
wall_clock_time_millis_training
933.1247806549072
wall_clock_time_millis_training
951.4744281768799
wall_clock_time_millis_training
909.588098526001
wall_clock_time_millis_training
907.1621894836426
wall_clock_time_millis_training
917.3452854156494
wall_clock_time_millis_training
953.7372589111328
wall_clock_time_millis_training
955.4073810577393
wall_clock_time_millis_training
938.373327255249