10315666
8323
Heinrich Peters
31
Supervised Classification
15083
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1)
8174182
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
2
15084
gamma
100.0
15084
kernel
"laplace"
15084
kernel_params
null
15084
n_components
500
15084
n_epoch
2
15084
random_state
17317
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
21552992
description
https://api.openml.org/data/download/21552992/description.xml
-1
21552993
predictions
https://api.openml.org/data/download/21552993/predictions.arff
area_under_roc_curve
0.689047619047619 [0.689048,0.689048]
average_cost
0
f_measure
0.7612609206989248 [0.848118,0.558594]
kappa
0.4126819126819128
kb_relative_information_score
0.42289218579065296
mean_absolute_error
0.226
mean_prior_absolute_error
0.42015968063872167
number_of_instances
1000 [700,300]
precision
0.7628914854898957 [0.800761,0.674528]
predictive_accuracy
0.774
prior_entropy
0.8812914463598482
recall
0.774 [0.901429,0.476667]
relative_absolute_error
0.5378907363420439
root_mean_prior_squared_error
0.45825774337365466
root_mean_squared_error
0.4753945729601885
root_relative_squared_error
1.0373956137879394
total_cost
0
area_under_roc_curve
0.7285714285714286 [0.728571,0.728571]
area_under_roc_curve
0.6047619047619047 [0.604762,0.604762]
area_under_roc_curve
0.6452380952380953 [0.645238,0.645238]
area_under_roc_curve
0.7380952380952382 [0.738095,0.738095]
area_under_roc_curve
0.6523809523809524 [0.652381,0.652381]
area_under_roc_curve
0.7023809523809524 [0.702381,0.702381]
area_under_roc_curve
0.6761904761904762 [0.67619,0.67619]
area_under_roc_curve
0.7285714285714286 [0.728571,0.728571]
area_under_roc_curve
0.6880952380952381 [0.688095,0.688095]
area_under_roc_curve
0.7261904761904762 [0.72619,0.72619]
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
0.8046052631578948 [0.881579,0.625]
f_measure
0.6990958408679927 [0.835443,0.380952]
f_measure
0.7185983827493261 [0.816327,0.490566]
f_measure
0.78 [0.842857,0.633333]
f_measure
0.727027027027027 [0.824324,0.5]
f_measure
0.7635109717868338 [0.841379,0.581818]
f_measure
0.748024948024948 [0.837838,0.538462]
f_measure
0.8046052631578948 [0.881579,0.625]
f_measure
0.7698790154359617 [0.862745,0.553191]
f_measure
0.784075235109718 [0.855172,0.618182]
kappa
0.5161290322580644
kappa
0.2528735632183907
kappa
0.3112244897959183
kappa
0.47619047619047633
kappa
0.32989690721649484
kappa
0.4250000000000001
kappa
0.3814432989690722
kappa
0.5161290322580644
kappa
0.4293478260869566
kappa
0.47500000000000014
kb_relative_information_score
0.5403566081518416
kb_relative_information_score
0.33607065621932586
kb_relative_information_score
0.3105349122277612
kb_relative_information_score
0.438213632185583
kb_relative_information_score
0.33607065621932536
kb_relative_information_score
0.4126778881940188
kb_relative_information_score
0.3871421442024542
kb_relative_information_score
0.5403566081518411
kb_relative_information_score
0.4637493761771478
kb_relative_information_score
0.46374937617714757
mean_absolute_error
0.18
mean_absolute_error
0.26
mean_absolute_error
0.27
mean_absolute_error
0.22
mean_absolute_error
0.26
mean_absolute_error
0.23
mean_absolute_error
0.24
mean_absolute_error
0.18
mean_absolute_error
0.21
mean_absolute_error
0.21
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
precision
0.8219512195121951 [0.817073,0.833333]
precision
0.725 [0.75,0.666667]
precision
0.7150197628458499 [0.779221,0.565217]
precision
0.78 [0.842857,0.633333]
precision
0.7247086247086247 [0.782051,0.590909]
precision
0.7613333333333334 [0.813333,0.64]
precision
0.7473193473193472 [0.794872,0.636364]
precision
0.8219512195121951 [0.817073,0.833333]
precision
0.7860382707299788 [0.795181,0.764706]
precision
0.7826666666666666 [0.826667,0.68]
predictive_accuracy
0.82
predictive_accuracy
0.74
predictive_accuracy
0.73
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.77
predictive_accuracy
0.76
predictive_accuracy
0.82
predictive_accuracy
0.79
predictive_accuracy
0.79
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
recall
0.82 [0.957143,0.5]
recall
0.74 [0.942857,0.266667]
recall
0.73 [0.857143,0.433333]
recall
0.78 [0.842857,0.633333]
recall
0.74 [0.871429,0.433333]
recall
0.77 [0.871429,0.533333]
recall
0.76 [0.885714,0.466667]
recall
0.82 [0.957143,0.5]
recall
0.79 [0.942857,0.433333]
recall
0.79 [0.885714,0.566667]
relative_absolute_error
0.4284085510688829
relative_absolute_error
0.6188123515439421
relative_absolute_error
0.6426128266033244
relative_absolute_error
0.5236104513064125
relative_absolute_error
0.6188123515439421
relative_absolute_error
0.5474109263657949
relative_absolute_error
0.5712114014251772
relative_absolute_error
0.4284085510688829
relative_absolute_error
0.49980997624703005
relative_absolute_error
0.49980997624703005
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_squared_error
0.4242640687119285
root_mean_squared_error
0.5099019513592785
root_mean_squared_error
0.5196152422706632
root_mean_squared_error
0.469041575982343
root_mean_squared_error
0.5099019513592785
root_mean_squared_error
0.47958315233127197
root_mean_squared_error
0.4898979485566356
root_mean_squared_error
0.4242640687119285
root_mean_squared_error
0.458257569495584
root_mean_squared_error
0.458257569495584
root_relative_squared_error
0.9258197484859326
root_relative_squared_error
1.1126968583344015
root_relative_squared_error
1.133892988791197
root_relative_squared_error
1.0235322430763485
root_relative_squared_error
1.1126968583344015
root_relative_squared_error
1.0465358398542726
root_relative_squared_error
1.0690445620188496
root_relative_squared_error
0.9258197484859326
root_relative_squared_error
0.9999996205670852
root_relative_squared_error
0.9999996205670852
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
277.3337959952187
usercpu_time_millis
250.14595600077882
usercpu_time_millis
251.18762100464664
usercpu_time_millis
250.38827299431432
usercpu_time_millis
248.03642599727027
usercpu_time_millis
250.02386802225374
usercpu_time_millis
249.57978999009356
usercpu_time_millis
250.1446170062991
usercpu_time_millis
250.05341198993847
usercpu_time_millis
270.5932929966366
usercpu_time_millis_testing
2.3800539929652587
usercpu_time_millis_testing
2.3395600001094863
usercpu_time_millis_testing
2.305625006556511
usercpu_time_millis_testing
2.289812997332774
usercpu_time_millis_testing
2.431964996503666
usercpu_time_millis_testing
2.669681009138003
usercpu_time_millis_testing
2.3492539912695065
usercpu_time_millis_testing
2.3063770058797672
usercpu_time_millis_testing
2.608358990983106
usercpu_time_millis_testing
2.3007749987300485
usercpu_time_millis_training
274.9537420022534
usercpu_time_millis_training
247.80639600066934
usercpu_time_millis_training
248.88199599809013
usercpu_time_millis_training
248.09845999698155
usercpu_time_millis_training
245.6044610007666
usercpu_time_millis_training
247.35418701311573
usercpu_time_millis_training
247.23053599882405
usercpu_time_millis_training
247.83824000041932
usercpu_time_millis_training
247.44505299895536
usercpu_time_millis_training
268.29251799790654
wall_clock_time_millis
277.3447036743164
wall_clock_time_millis
250.16307830810547
wall_clock_time_millis
251.20115280151367
wall_clock_time_millis
250.40292739868164
wall_clock_time_millis
248.06666374206543
wall_clock_time_millis
250.03790855407715
wall_clock_time_millis
249.59397315979004
wall_clock_time_millis
250.16283988952637
wall_clock_time_millis
250.06794929504395
wall_clock_time_millis
270.64061164855957
wall_clock_time_millis_testing
2.383708953857422
wall_clock_time_millis_testing
2.346515655517578
wall_clock_time_millis_testing
2.3097991943359375
wall_clock_time_millis_testing
2.2962093353271484
wall_clock_time_millis_testing
2.4383068084716797
wall_clock_time_millis_testing
2.676248550415039
wall_clock_time_millis_testing
2.3555755615234375
wall_clock_time_millis_testing
2.312898635864258
wall_clock_time_millis_testing
2.6144981384277344
wall_clock_time_millis_testing
2.308368682861328
wall_clock_time_millis_training
274.960994720459
wall_clock_time_millis_training
247.8165626525879
wall_clock_time_millis_training
248.89135360717773
wall_clock_time_millis_training
248.1067180633545
wall_clock_time_millis_training
245.62835693359375
wall_clock_time_millis_training
247.3616600036621
wall_clock_time_millis_training
247.2383975982666
wall_clock_time_millis_training
247.8499412536621
wall_clock_time_millis_training
247.4534511566162
wall_clock_time_millis_training
268.33224296569824