10327007
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)
8182675
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
4268.510636410245
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0061078893286028715
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
48024
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
21575700
description
https://api.openml.org/data/download/21575700/description.xml
-1
21575701
predictions
https://api.openml.org/data/download/21575701/predictions.arff
area_under_roc_curve
0.9872222222222223 [0.994444,0.986944,0.991944,0.985833,0.991667,0.976667,0.991389,0.988333,0.984444,0.980556]
average_cost
0
f_measure
0.9770191359391085 [0.99,0.963145,0.987469,0.972569,0.985,0.969543,0.982544,0.975124,0.979798,0.965]
kappa
0.9744444444444444
kb_relative_information_score
0.9759475777171054
mean_absolute_error
0.0046
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9771687438888812 [0.99,0.94686,0.98995,0.970149,0.985,0.984536,0.9801,0.970297,0.989796,0.965]
predictive_accuracy
0.977
prior_entropy
3.3219280948872383
recall
0.977 [0.99,0.98,0.985,0.975,0.985,0.955,0.985,0.98,0.97,0.965]
relative_absolute_error
0.025555555555554766
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.06782329983125268
root_relative_squared_error
0.22607766610417215
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
0.9805555555555556 [0.997222,0.997222,0.95,0.944444,0.997222,0.975,1,0.994444,0.975,0.975]
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 [0.975,0.994444,0.975,0.997222,1,0.947222,1,0.997222,0.975,1]
area_under_roc_curve
0.9888888888888888 [1,0.997222,1,1,0.994444,0.975,0.975,1,0.975,0.972222]
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
0.9649655564803189 [0.97561,0.97561,0.947368,0.9,0.97561,0.974359,1,0.952381,0.974359,0.974359]
f_measure
0.979993746091307 [1,0.95,1,1,0.974359,0.974359,1,0.97561,0.97561,0.95]
f_measure
0.9749754310729919 [0.974359,0.952381,0.974359,0.97561,1,0.923077,1,0.97561,0.974359,1]
f_measure
0.9801067631555437 [1,0.97561,1,1,0.952381,0.974359,0.974359,1,0.974359,0.95]
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
0.961111111111111
kappa
0.9777777777777777
kappa
0.9722222222222222
kappa
0.9777777777777777
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
0.963398487830377
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9790848501887868
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
0.006999999999999999
mean_absolute_error
0.004
mean_absolute_error
0.005
mean_absolute_error
0.004
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
0.9666233766233767 [0.952381,0.952381,1,0.9,0.952381,1,1,0.909091,1,1]
precision
0.9804761904761904 [1,0.95,1,1,1,1,1,0.952381,0.952381,0.95]
precision
0.9761221234905445 [1,0.909091,1,0.952381,1,0.947368,1,0.952381,1,1]
precision
0.9811471861471861 [1,0.952381,1,1,0.909091,1,1,1,1,0.95]
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
0.965
predictive_accuracy
0.98
predictive_accuracy
0.975
predictive_accuracy
0.98
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
0.965 [1,1,0.9,0.9,1,0.95,1,1,0.95,0.95]
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
0.98 [1,1,1,1,1,0.95,0.95,1,0.95,0.95]
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
0.03888888888888893
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.02222222222222225
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
0.08366600265340755
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.06324555320336758
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
0.27888667551135865
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.21081851067789206
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
289.4336210010806
usercpu_time_millis
289.2299110098975
usercpu_time_millis
286.6721700047492
usercpu_time_millis
291.2103060007212
usercpu_time_millis
287.14708799816435
usercpu_time_millis
290.42205599398585
usercpu_time_millis
288.76097399916034
usercpu_time_millis
290.22679600166157
usercpu_time_millis
290.52631899685366
usercpu_time_millis
292.1261020019301
usercpu_time_millis_testing
29.659897001693025
usercpu_time_millis_testing
29.630592005560175
usercpu_time_millis_testing
29.511305001506116
usercpu_time_millis_testing
29.94584800035227
usercpu_time_millis_testing
29.752227004792076
usercpu_time_millis_testing
30.197180996765383
usercpu_time_millis_testing
29.86498300015228
usercpu_time_millis_testing
30.0610320045962
usercpu_time_millis_testing
29.92053599882638
usercpu_time_millis_testing
30.203690999769606
usercpu_time_millis_training
259.7737239993876
usercpu_time_millis_training
259.5993190043373
usercpu_time_millis_training
257.1608650032431
usercpu_time_millis_training
261.2644580003689
usercpu_time_millis_training
257.3948609933723
usercpu_time_millis_training
260.22487499722047
usercpu_time_millis_training
258.89599099900806
usercpu_time_millis_training
260.16576399706537
usercpu_time_millis_training
260.6057829980273
usercpu_time_millis_training
261.9224110021605
wall_clock_time_millis
305.47142028808594
wall_clock_time_millis
289.26873207092285
wall_clock_time_millis
286.7109775543213
wall_clock_time_millis
291.26691818237305
wall_clock_time_millis
287.19639778137207
wall_clock_time_millis
290.45939445495605
wall_clock_time_millis
288.79714012145996
wall_clock_time_millis
290.2669906616211
wall_clock_time_millis
290.56453704833984
wall_clock_time_millis
364.1469478607178
wall_clock_time_millis_testing
29.674768447875977
wall_clock_time_millis_testing
29.64496612548828
wall_clock_time_millis_testing
29.5255184173584
wall_clock_time_millis_testing
29.967784881591797
wall_clock_time_millis_testing
29.766321182250977
wall_clock_time_millis_testing
30.21097183227539
wall_clock_time_millis_testing
29.87837791442871
wall_clock_time_millis_testing
30.075550079345703
wall_clock_time_millis_testing
29.934167861938477
wall_clock_time_millis_testing
62.20889091491699
wall_clock_time_millis_training
275.79665184020996
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
301.9380569458008