10327083
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)
8182751
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
2719.5524150527717
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.007052803627994299
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
19037
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
21575852
description
https://api.openml.org/data/download/21575852/description.xml
-1
21575853
predictions
https://api.openml.org/data/download/21575853/predictions.arff
area_under_roc_curve
0.9877777777777779 [0.994722,0.9875,0.991944,0.985556,0.991667,0.976667,0.991389,0.988333,0.986944,0.983056]
average_cost
0
f_measure
0.9780160334769236 [0.992481,0.967901,0.987469,0.970149,0.985,0.969543,0.982544,0.975124,0.982368,0.967581]
kappa
0.9755555555555555
kb_relative_information_score
0.976993335207666
mean_absolute_error
0.0044
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9781323178498688 [0.994975,0.956098,0.98995,0.965347,0.985,0.984536,0.9801,0.970297,0.989848,0.965174]
predictive_accuracy
0.978
prior_entropy
3.3219280948872383
recall
0.978 [0.99,0.98,0.985,0.975,0.985,0.955,0.985,0.98,0.975,0.97]
relative_absolute_error
0.024444444444443693
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.066332495807108
root_relative_squared_error
0.22110831935702324
total_cost
0
area_under_roc_curve
0.9861111111111112 [0.972222,0.991667,1,1,1,0.975,0.997222,1,0.925,1]
area_under_roc_curve
0.9861111111111112 [1,0.975,1,0.975,1,0.972222,0.994444,0.972222,1,0.972222]
area_under_roc_curve
0.9888888888888888 [1,0.95,0.997222,0.997222,1,1,1,0.95,1,0.994444]
area_under_roc_curve
0.9888888888888888 [1,0.997222,0.997222,0.972222,0.975,0.975,1,1,1,0.972222]
area_under_roc_curve
0.9833333333333333 [1,0.997222,0.95,0.944444,0.997222,0.975,1,0.994444,1,0.975]
area_under_roc_curve
0.9888888888888892 [1,0.972222,1,1,0.975,0.975,1,0.997222,0.997222,0.972222]
area_under_roc_curve
0.9861111111111112 [0.975,0.997222,0.975,0.994444,1,0.947222,1,0.997222,0.975,1]
area_under_roc_curve
0.9916666666666666 [1,1,1,1,0.994444,0.975,0.975,1,0.975,0.997222]
area_under_roc_curve
0.9888888888888888 [1,0.997222,1,0.972222,1,0.972222,1,0.997222,1,0.95]
area_under_roc_curve
0.9888888888888888 [1,0.997222,1,1,0.975,1,0.947222,0.975,0.997222,0.997222]
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
0.974912020751499 [0.95,0.930233,1,1,1,0.974359,0.97561,1,0.918919,1]
f_measure
0.97510989010989 [1,0.974359,1,0.974359,1,0.95,0.952381,0.95,1,0.95]
f_measure
0.9798337306681337 [1,0.947368,0.97561,0.97561,1,1,1,0.947368,1,0.952381]
f_measure
0.9799937460913071 [1,0.97561,0.97561,0.95,0.974359,0.974359,1,1,1,0.95]
f_measure
0.9699686834346655 [1,0.97561,0.947368,0.9,0.97561,0.974359,1,0.952381,1,0.974359]
f_measure
0.979993746091307 [1,0.95,1,1,0.974359,0.974359,1,0.97561,0.97561,0.95]
f_measure
0.9749754310729919 [0.974359,0.97561,0.974359,0.952381,1,0.923077,1,0.97561,0.974359,1]
f_measure
0.9851067631555435 [1,1,1,1,0.952381,0.974359,0.974359,1,0.974359,0.97561]
f_measure
0.9798587933247752 [1,0.97561,1,0.95,1,0.95,1,0.97561,1,0.947368]
f_measure
0.9798624140087553 [1,0.97561,1,1,0.974359,1,0.923077,0.974359,0.97561,0.97561]
kappa
0.9722222222222222
kappa
0.9722222222222222
kappa
0.9777777777777777
kappa
0.9777777777777777
kappa
0.9666666666666667
kappa
0.9777777777777777
kappa
0.9722222222222222
kappa
0.9833333333333333
kappa
0.9777777777777777
kappa
0.9777777777777777
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9843136376415902
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9790848501887868
mean_absolute_error
0.005
mean_absolute_error
0.005
mean_absolute_error
0.004
mean_absolute_error
0.004
mean_absolute_error
0.006
mean_absolute_error
0.004
mean_absolute_error
0.005
mean_absolute_error
0.0030000000000000005
mean_absolute_error
0.004
mean_absolute_error
0.004
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
0.9771946169772256 [0.95,0.869565,1,1,1,1,0.952381,1,1,1]
precision
0.975909090909091 [1,1,1,1,1,0.95,0.909091,0.95,1,0.95]
precision
0.9813852813852815 [1,1,0.952381,0.952381,1,1,1,1,1,0.909091]
precision
0.9804761904761905 [1,0.952381,0.952381,0.95,1,1,1,1,1,0.95]
precision
0.9713852813852815 [1,0.952381,1,0.9,0.952381,1,1,0.909091,1,1]
precision
0.9804761904761904 [1,0.95,1,1,1,1,1,0.952381,0.952381,0.95]
precision
0.9761221234905445 [1,0.952381,1,0.909091,1,0.947368,1,0.952381,1,1]
precision
0.9861471861471861 [1,1,1,1,0.909091,1,1,1,1,0.952381]
precision
0.9804761904761904 [1,0.952381,1,0.95,1,0.95,1,0.952381,1,1]
precision
0.9804511278195488 [1,0.952381,1,1,1,1,0.947368,1,0.952381,0.952381]
predictive_accuracy
0.975
predictive_accuracy
0.975
predictive_accuracy
0.98
predictive_accuracy
0.98
predictive_accuracy
0.97
predictive_accuracy
0.98
predictive_accuracy
0.975
predictive_accuracy
0.985
predictive_accuracy
0.98
predictive_accuracy
0.98
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
0.975 [0.95,1,1,1,1,0.95,1,1,0.85,1]
recall
0.975 [1,0.95,1,0.95,1,0.95,1,0.95,1,0.95]
recall
0.98 [1,0.9,1,1,1,1,1,0.9,1,1]
recall
0.98 [1,1,1,0.95,0.95,0.95,1,1,1,0.95]
recall
0.97 [1,1,0.9,0.9,1,0.95,1,1,1,0.95]
recall
0.98 [1,0.95,1,1,0.95,0.95,1,1,1,0.95]
recall
0.975 [0.95,1,0.95,1,1,0.9,1,1,0.95,1]
recall
0.985 [1,1,1,1,1,0.95,0.95,1,0.95,1]
recall
0.98 [1,1,1,0.95,1,0.95,1,1,1,0.9]
recall
0.98 [1,1,1,1,0.95,1,0.9,0.95,1,1]
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.016666666666666687
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.02222222222222225
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
0.07071067811865475
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.05477225575051661
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.06324555320336758
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.18257418583505547
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.21081851067789206
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
304.22552700474625
usercpu_time_millis
295.5726260042866
usercpu_time_millis
300.971553006093
usercpu_time_millis
303.8195619956241
usercpu_time_millis
307.527790988388
usercpu_time_millis
307.57268099841895
usercpu_time_millis
299.94998699839925
usercpu_time_millis
302.6990319995093
usercpu_time_millis
305.75671500264434
usercpu_time_millis
305.81678999442374
usercpu_time_millis_testing
30.657584000437055
usercpu_time_millis_testing
30.489524004224222
usercpu_time_millis_testing
30.646104001789354
usercpu_time_millis_testing
30.928982996556442
usercpu_time_millis_testing
30.428613994445186
usercpu_time_millis_testing
30.932589994336013
usercpu_time_millis_testing
30.81485199800227
usercpu_time_millis_testing
30.8240609956556
usercpu_time_millis_testing
31.1189470012323
usercpu_time_millis_testing
30.53086399449967
usercpu_time_millis_training
273.5679430043092
usercpu_time_millis_training
265.08310200006235
usercpu_time_millis_training
270.32544900430366
usercpu_time_millis_training
272.89057899906766
usercpu_time_millis_training
277.0991769939428
usercpu_time_millis_training
276.64009100408293
usercpu_time_millis_training
269.135135000397
usercpu_time_millis_training
271.8749710038537
usercpu_time_millis_training
274.63776800141204
usercpu_time_millis_training
275.2859259999241
wall_clock_time_millis
304.2750358581543
wall_clock_time_millis
295.6511974334717
wall_clock_time_millis
417.13571548461914
wall_clock_time_millis
303.8783073425293
wall_clock_time_millis
343.63722801208496
wall_clock_time_millis
423.66504669189453
wall_clock_time_millis
300.0619411468506
wall_clock_time_millis
406.7387580871582
wall_clock_time_millis
393.89991760253906
wall_clock_time_millis
305.85646629333496
wall_clock_time_millis_testing
30.671358108520508
wall_clock_time_millis_testing
30.50374984741211
wall_clock_time_millis_testing
30.65967559814453
wall_clock_time_millis_testing
30.94315528869629
wall_clock_time_millis_testing
30.463695526123047
wall_clock_time_millis_testing
62.94536590576172
wall_clock_time_millis_testing
30.82895278930664
wall_clock_time_millis_testing
30.836820602416992
wall_clock_time_millis_testing
63.132286071777344
wall_clock_time_millis_testing
30.545473098754883
wall_clock_time_millis_training
273.6036777496338
wall_clock_time_millis_training
265.14744758605957
wall_clock_time_millis_training
386.4760398864746
wall_clock_time_millis_training
272.935152053833
wall_clock_time_millis_training
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wall_clock_time_millis_training
360.7196807861328
wall_clock_time_millis_training
269.23298835754395
wall_clock_time_millis_training
375.9019374847412
wall_clock_time_millis_training
330.7676315307617
wall_clock_time_millis_training
275.3109931945801