10327021
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)
8182689
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
4.983344593111613
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.2508604778138088
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.003475742080788654
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
14564
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
21575728
description
https://api.openml.org/data/download/21575728/description.xml
-1
21575729
predictions
https://api.openml.org/data/download/21575729/predictions.arff
area_under_roc_curve
0.9838888888888889 [0.994444,0.990556,0.991944,0.9775,0.992222,0.963056,0.984167,0.988333,0.981111,0.975556]
average_cost
0
f_measure
0.9710213624213506 [0.99,0.956522,0.987469,0.957606,0.98995,0.946565,0.97733,0.975124,0.969849,0.959799]
kappa
0.9677777777777777
kb_relative_information_score
0.9696730327737414
mean_absolute_error
0.005799999999999995
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9713549881799198 [0.99,0.925234,0.98995,0.955224,0.994949,0.963731,0.984772,0.970297,0.974747,0.964646]
predictive_accuracy
0.971
prior_entropy
3.3219280948872383
recall
0.971 [0.99,0.99,0.985,0.96,0.985,0.93,0.97,0.98,0.965,0.955]
relative_absolute_error
0.0322222222222212
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.07615773105863906
root_relative_squared_error
0.253859103528793
total_cost
0
area_under_roc_curve
0.9861111111111112 [0.997222,0.991667,1,0.997222,1,0.975,0.975,1,0.925,1]
area_under_roc_curve
0.9805555555555557 [1,0.975,1,0.972222,1,0.944444,0.969444,0.972222,1,0.972222]
area_under_roc_curve
0.9888888888888888 [1,0.997222,0.997222,0.975,1,0.975,1,0.975,0.997222,0.972222]
area_under_roc_curve
0.9888888888888888 [1,0.994444,0.997222,0.975,0.975,0.975,1,1,1,0.972222]
area_under_roc_curve
0.9805555555555554 [0.997222,0.997222,0.95,0.944444,1,0.975,1,0.969444,1,0.972222]
area_under_roc_curve
0.9833333333333332 [1,0.969444,1,0.975,0.975,0.95,1,0.997222,0.994444,0.972222]
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
0.9861111111111112 [0.975,0.994444,1,1,0.997222,0.975,0.975,1,0.947222,0.997222]
area_under_roc_curve
0.9805555555555554 [1,0.997222,1,0.969444,1,0.941667,0.975,0.997222,1,0.925]
area_under_roc_curve
0.9777777777777777 [1,0.991667,1,0.972222,0.975,0.972222,0.947222,0.975,0.972222,0.972222]
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
0.9749088937971524 [0.97561,0.930233,1,0.97561,1,0.974359,0.974359,1,0.918919,1]
f_measure
0.9651188242651658 [1,0.974359,1,0.95,1,0.9,0.926829,0.95,1,0.95]
f_measure
0.9799906191369605 [1,0.97561,0.97561,0.974359,1,0.974359,1,0.974359,0.97561,0.95]
f_measure
0.9801067631555438 [1,0.952381,0.97561,0.974359,0.974359,0.974359,1,1,1,0.95]
f_measure
0.9649776175899412 [0.97561,0.97561,0.947368,0.9,1,0.974359,1,0.926829,1,0.95]
f_measure
0.9700906346541776 [1,0.926829,1,0.974359,0.974359,0.947368,1,0.97561,0.952381,0.95]
f_measure
0.9749754310729919 [0.974359,0.97561,0.974359,0.952381,1,0.923077,1,0.97561,0.974359,1]
f_measure
0.9749754310729919 [0.974359,0.952381,1,1,0.97561,0.974359,0.974359,1,0.923077,0.97561]
f_measure
0.9649375454253503 [1,0.97561,1,0.926829,1,0.878049,0.974359,0.97561,1,0.918919]
f_measure
0.9602027429934407 [1,0.930233,1,0.95,0.974359,0.95,0.923077,0.974359,0.95,0.95]
kappa
0.9722222222222222
kappa
0.961111111111111
kappa
0.9777777777777777
kappa
0.9777777777777777
kappa
0.961111111111111
kappa
0.9666666666666667
kappa
0.9722222222222222
kappa
0.9722222222222222
kappa
0.961111111111111
kappa
0.9555555555555555
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9581697003775735
mean_absolute_error
0.005
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.004
mean_absolute_error
0.004
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.006
mean_absolute_error
0.005
mean_absolute_error
0.005
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.008
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
0.977432712215321 [0.952381,0.869565,1,0.952381,1,1,1,1,1,1]
precision
0.9654761904761905 [1,1,1,0.95,1,0.9,0.904762,0.95,1,0.95]
precision
0.9807142857142856 [1,0.952381,0.952381,1,1,1,1,1,0.952381,0.95]
precision
0.9811471861471861 [1,0.909091,0.952381,1,1,1,1,1,1,0.95]
precision
0.965952380952381 [0.952381,0.952381,1,0.9,1,1,1,0.904762,1,0.95]
precision
0.9716233766233766 [1,0.904762,1,1,1,1,1,0.952381,0.909091,0.95]
precision
0.9761221234905445 [1,0.952381,1,0.909091,1,0.947368,1,0.952381,1,1]
precision
0.9761221234905445 [1,0.909091,1,1,0.952381,1,1,1,0.947368,0.952381]
precision
0.9666666666666666 [1,0.952381,1,0.904762,1,0.857143,1,0.952381,1,1]
precision
0.9616933638443936 [1,0.869565,1,0.95,1,0.95,0.947368,1,0.95,0.95]
predictive_accuracy
0.975
predictive_accuracy
0.965
predictive_accuracy
0.98
predictive_accuracy
0.98
predictive_accuracy
0.965
predictive_accuracy
0.97
predictive_accuracy
0.975
predictive_accuracy
0.975
predictive_accuracy
0.965
predictive_accuracy
0.96
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 [1,1,1,1,1,0.95,0.95,1,0.85,1]
recall
0.965 [1,0.95,1,0.95,1,0.9,0.95,0.95,1,0.95]
recall
0.98 [1,1,1,0.95,1,0.95,1,0.95,1,0.95]
recall
0.98 [1,1,1,0.95,0.95,0.95,1,1,1,0.95]
recall
0.965 [1,1,0.9,0.9,1,0.95,1,0.95,1,0.95]
recall
0.97 [1,0.95,1,0.95,0.95,0.9,1,1,1,0.95]
recall
0.975 [0.95,1,0.95,1,1,0.9,1,1,0.95,1]
recall
0.975 [0.95,1,1,1,1,0.95,0.95,1,0.9,1]
recall
0.965 [1,1,1,0.95,1,0.9,0.95,1,1,0.85]
recall
0.96 [1,1,1,0.95,0.95,0.95,0.9,0.95,0.95,0.95]
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.0444444444444445
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
0.08366600265340755
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.08944271909999159
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.29814239699997214
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
300.912573999085
usercpu_time_millis
291.1526860043523
usercpu_time_millis
291.16491899912944
usercpu_time_millis
290.9505080024246
usercpu_time_millis
286.8796120019397
usercpu_time_millis
294.0576300024986
usercpu_time_millis
292.0101799973054
usercpu_time_millis
296.9463379995432
usercpu_time_millis
290.80038399843033
usercpu_time_millis
292.35648400208447
usercpu_time_millis_testing
27.43855999869993
usercpu_time_millis_testing
26.803518005181104
usercpu_time_millis_testing
26.83761499793036
usercpu_time_millis_testing
26.792572003614623
usercpu_time_millis_testing
26.687584999308456
usercpu_time_millis_testing
26.928425999358296
usercpu_time_millis_testing
27.19603399600601
usercpu_time_millis_testing
26.990518999809865
usercpu_time_millis_testing
26.955510998959653
usercpu_time_millis_testing
26.818017999175936
usercpu_time_millis_training
273.47401400038507
usercpu_time_millis_training
264.3491679991712
usercpu_time_millis_training
264.3273040011991
usercpu_time_millis_training
264.15793599881
usercpu_time_millis_training
260.1920270026312
usercpu_time_millis_training
267.12920400314033
usercpu_time_millis_training
264.8141460012994
usercpu_time_millis_training
269.9558189997333
usercpu_time_millis_training
263.8448729994707
usercpu_time_millis_training
265.53846600290854
wall_clock_time_millis
381.02221488952637
wall_clock_time_millis
291.26739501953125
wall_clock_time_millis
291.290283203125
wall_clock_time_millis
291.03589057922363
wall_clock_time_millis
286.96680068969727
wall_clock_time_millis
294.20924186706543
wall_clock_time_millis
292.1633720397949
wall_clock_time_millis
297.0738410949707
wall_clock_time_millis
290.90166091918945
wall_clock_time_millis
292.44399070739746
wall_clock_time_millis_testing
27.452707290649414
wall_clock_time_millis_testing
26.819229125976562
wall_clock_time_millis_testing
26.85093879699707
wall_clock_time_millis_testing
26.80516242980957
wall_clock_time_millis_testing
26.700735092163086
wall_clock_time_millis_testing
26.94106101989746
wall_clock_time_millis_testing
27.229785919189453
wall_clock_time_millis_testing
27.00352668762207
wall_clock_time_millis_testing
26.990890502929688
wall_clock_time_millis_testing
26.831626892089844
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
264.93358612060547
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
265.6123638153076