10330652
8323
Heinrich Peters
125922
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8186220
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
0.07077231909653779
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.9005967890758899
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
2.867595836610148
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
49555
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.
40499
texture
https://www.openml.org/data/download/4535764/phpBDgUyY
-1
21583003
description
https://api.openml.org/data/download/21583003/description.xml
-1
21583004
predictions
https://api.openml.org/data/download/21583004/predictions.arff
area_under_roc_curve
0.9925000000000002 [0.9897,0.9999,0.9967,0.9935,0.9853,0.9956,0.9958,0.9967,1,0.9827,0.9816]
average_cost
0
f_measure
0.9863778162656864 [0.969458,0.999001,0.994,0.988989,0.97012,0.992,0.993988,0.994,1,0.970913,0.977688]
kappa
0.985
kb_relative_information_score
0.9858216259243955
mean_absolute_error
0.002479338842975205
mean_prior_absolute_error
0.1652892561983287
number_of_instances
5500 [500,500,500,500,500,500,500,500,500,500,500]
precision
0.9864718309499152 [0.95534,0.998004,0.994,0.98998,0.96627,0.992,0.995984,0.994,1,0.973843,0.99177]
predictive_accuracy
0.9863636363636364
prior_entropy
3.4594316186375305
recall
0.9863636363636363 [0.984,1,0.994,0.988,0.974,0.992,0.992,0.994,1,0.968,0.964]
relative_absolute_error
0.015000000000001661
root_mean_prior_squared_error
0.2874797872880185
root_mean_squared_error
0.0497929597731969
root_relative_squared_error
0.1732050807568973
total_cost
0
area_under_roc_curve
0.993 [0.999,1,0.99,1,0.968,1,0.998,1,1,0.988,0.98]
area_under_roc_curve
0.9940000000000001 [0.988,1,0.999,0.99,1,0.998,1,0.989,1,0.98,0.99]
area_under_roc_curve
0.993 [0.999,1,1,1,0.995,0.99,0.99,1,1,0.989,0.96]
area_under_roc_curve
0.995 [0.988,0.999,1,0.989,0.989,0.99,1,1,1,0.99,1]
area_under_roc_curve
0.987 [0.986,1,1,0.979,0.979,0.99,0.99,0.979,1,0.985,0.969]
area_under_roc_curve
0.9919999999999999 [0.987,1,0.989,0.989,0.979,1,1,1,1,0.978,0.99]
area_under_roc_curve
0.9940000000000001 [0.979,1,0.99,0.998,0.979,0.999,1,1,1,0.99,0.999]
area_under_roc_curve
0.995 [0.997,1,1,1,1,1,0.99,1,1,0.969,0.989]
area_under_roc_curve
0.99 [0.978,1,0.999,0.99,0.968,0.999,1,0.999,1,0.988,0.969]
area_under_roc_curve
0.992 [0.996,1,1,1,0.996,0.99,0.99,1,1,0.97,0.97]
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
0.9872521793268488 [0.990099,1,0.989899,1,0.949495,1,0.980392,1,1,0.970297,0.979592]
f_measure
0.9891070920908527 [0.970297,1,0.990099,0.989899,1,0.980392,1,0.98,1,0.979592,0.989899]
f_measure
0.9873282977648413 [0.990099,1,1,1,0.952381,0.989899,0.989899,1,1,0.98,0.958333]
f_measure
0.9909267290365398 [0.970297,0.990099,1,0.98,0.98,0.989899,1,1,1,0.989899,1]
f_measure
0.9765305968495983 [0.951456,1,1,0.969697,0.969697,0.989899,0.989899,0.969697,1,0.942308,0.959184]
f_measure
0.9854891157564954 [0.960784,1,0.98,0.98,0.969697,1,1,1,1,0.96,0.989899]
f_measure
0.9890710996233313 [0.969697,1,0.989899,0.980392,0.969697,0.990099,1,1,1,0.989899,0.990099]
f_measure
0.9909051317978315 [0.970874,1,1,1,1,1,0.989899,1,1,0.959184,0.98]
f_measure
0.9817428792972062 [0.96,1,0.990099,0.989899,0.949495,0.990099,1,0.990099,1,0.970297,0.959184]
f_measure
0.9855472029792555 [0.961538,1,1,1,0.961538,0.989899,0.989899,1,1,0.969072,0.969072]
kappa
0.986
kappa
0.988
kappa
0.986
kappa
0.9900000000000001
kappa
0.974
kappa
0.984
kappa
0.988
kappa
0.9900000000000001
kappa
0.98
kappa
0.984
kb_relative_information_score
0.9867668508627706
kb_relative_information_score
0.9886573007395176
kb_relative_information_score
0.9867668508627706
kb_relative_information_score
0.9905477506162645
kb_relative_information_score
0.9754241516022881
kb_relative_information_score
0.9848764009860234
kb_relative_information_score
0.9886573007395176
kb_relative_information_score
0.9905477506162645
kb_relative_information_score
0.9810955012325293
kb_relative_information_score
0.9848764009860234
mean_absolute_error
0.00231404958677686
mean_absolute_error
0.0019834710743801658
mean_absolute_error
0.00231404958677686
mean_absolute_error
0.0016528925619834713
mean_absolute_error
0.004297520661157025
mean_absolute_error
0.0026446280991735543
mean_absolute_error
0.0019834710743801658
mean_absolute_error
0.0016528925619834713
mean_absolute_error
0.003305785123966943
mean_absolute_error
0.0026446280991735543
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
precision
0.9874453277814622 [0.980392,1,1,1,0.959184,1,0.961538,1,1,0.960784,1]
precision
0.9893377211024269 [0.960784,1,0.980392,1,1,0.961538,1,0.98,1,1,1]
precision
0.988134824177605 [0.980392,1,1,1,0.909091,1,1,1,1,0.98,1]
precision
0.9910160427807486 [0.960784,0.980392,1,0.98,0.98,1,1,1,1,1,1]
precision
0.9772616260149952 [0.924528,1,1,0.979592,0.979592,1,1,0.979592,1,0.907407,0.979167]
precision
0.9856272299129443 [0.942308,1,0.98,0.98,0.979592,1,1,1,1,0.96,1]
precision
0.9892278589757582 [0.979592,1,1,0.961538,0.979592,0.980392,1,1,1,1,0.980392]
precision
0.991142081189251 [0.943396,1,1,1,1,1,1,1,1,0.979167,0.98]
precision
0.9818464658590709 [0.96,1,0.980392,1,0.959184,0.980392,1,0.980392,1,0.960784,0.979167]
precision
0.9865319865319866 [0.925926,1,1,1,0.925926,1,1,1,1,1,1]
predictive_accuracy
0.9872727272727273
predictive_accuracy
0.989090909090909
predictive_accuracy
0.9872727272727273
predictive_accuracy
0.990909090909091
predictive_accuracy
0.9763636363636364
predictive_accuracy
0.9854545454545455
predictive_accuracy
0.989090909090909
predictive_accuracy
0.990909090909091
predictive_accuracy
0.9818181818181819
predictive_accuracy
0.9854545454545455
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
recall
0.9872727272727273 [1,1,0.98,1,0.94,1,1,1,1,0.98,0.96]
recall
0.9890909090909091 [0.98,1,1,0.98,1,1,1,0.98,1,0.96,0.98]
recall
0.9872727272727273 [1,1,1,1,1,0.98,0.98,1,1,0.98,0.92]
recall
0.990909090909091 [0.98,1,1,0.98,0.98,0.98,1,1,1,0.98,1]
recall
0.9763636363636363 [0.98,1,1,0.96,0.96,0.98,0.98,0.96,1,0.98,0.94]
recall
0.9854545454545455 [0.98,1,0.98,0.98,0.96,1,1,1,1,0.96,0.98]
recall
0.9890909090909091 [0.96,1,0.98,1,0.96,1,1,1,1,0.98,1]
recall
0.990909090909091 [1,1,1,1,1,1,0.98,1,1,0.94,0.98]
recall
0.9818181818181818 [0.96,1,1,0.98,0.94,1,1,1,1,0.98,0.94]
recall
0.9854545454545455 [1,1,1,1,1,0.98,0.98,1,1,0.94,0.94]
relative_absolute_error
0.013999999999999903
relative_absolute_error
0.01199999999999992
relative_absolute_error
0.013999999999999903
relative_absolute_error
0.009999999999999929
relative_absolute_error
0.02599999999999982
relative_absolute_error
0.01599999999999989
relative_absolute_error
0.01199999999999992
relative_absolute_error
0.009999999999999929
relative_absolute_error
0.01999999999999986
relative_absolute_error
0.01599999999999989
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_squared_error
0.04810456929208347
root_mean_squared_error
0.04453617714151233
root_mean_squared_error
0.04810456929208347
root_mean_squared_error
0.040655781409087086
root_mean_squared_error
0.0655554777357089
root_mean_squared_error
0.05142594772265801
root_mean_squared_error
0.04453617714151233
root_mean_squared_error
0.040655781409087086
root_mean_squared_error
0.057495957457606904
root_mean_squared_error
0.05142594772265801
root_relative_squared_error
0.1673320053068145
root_relative_squared_error
0.15491933384829615
root_relative_squared_error
0.1673320053068145
root_relative_squared_error
0.14142135623730898
root_relative_squared_error
0.22803508501982678
root_relative_squared_error
0.17888543819998254
root_relative_squared_error
0.15491933384829615
root_relative_squared_error
0.14142135623730898
root_relative_squared_error
0.19999999999999932
root_relative_squared_error
0.17888543819998254
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
265.0233600000007
usercpu_time_millis
256.9903150000101
usercpu_time_millis
272.3161579999953
usercpu_time_millis
271.34456900000714
usercpu_time_millis
256.4623589999826
usercpu_time_millis
263.30723300000614
usercpu_time_millis
259.0252269999809
usercpu_time_millis
267.67913300000146
usercpu_time_millis
264.6843460000099
usercpu_time_millis
272.57142900000986
usercpu_time_millis_testing
23.61229699999967
usercpu_time_millis_testing
23.925206000001253
usercpu_time_millis_testing
24.174396999995906
usercpu_time_millis_testing
25.833654999999567
usercpu_time_millis_testing
22.33007999998904
usercpu_time_millis_testing
23.93829700000083
usercpu_time_millis_testing
23.85477899998989
usercpu_time_millis_testing
24.369446000008566
usercpu_time_millis_testing
25.033774000007725
usercpu_time_millis_testing
26.686068000003615
usercpu_time_millis_training
241.41106300000104
usercpu_time_millis_training
233.06510900000887
usercpu_time_millis_training
248.1417609999994
usercpu_time_millis_training
245.51091400000757
usercpu_time_millis_training
234.13227899999356
usercpu_time_millis_training
239.3689360000053
usercpu_time_millis_training
235.17044799999098
usercpu_time_millis_training
243.3096869999929
usercpu_time_millis_training
239.65057200000217
usercpu_time_millis_training
245.88536100000624
wall_clock_time_millis
265.20514488220215
wall_clock_time_millis
257.16447830200195
wall_clock_time_millis
272.4010944366455
wall_clock_time_millis
271.3782787322998
wall_clock_time_millis
256.6032409667969
wall_clock_time_millis
263.53001594543457
wall_clock_time_millis
259.07111167907715
wall_clock_time_millis
267.71092414855957
wall_clock_time_millis
282.08208084106445
wall_clock_time_millis
272.60327339172363
wall_clock_time_millis_testing
23.622512817382812
wall_clock_time_millis_testing
23.99158477783203
wall_clock_time_millis_testing
24.18661117553711
wall_clock_time_millis_testing
25.844812393188477
wall_clock_time_millis_testing
22.396087646484375
wall_clock_time_millis_testing
23.95009994506836
wall_clock_time_millis_testing
23.865461349487305
wall_clock_time_millis_testing
24.379730224609375
wall_clock_time_millis_testing
38.500308990478516
wall_clock_time_millis_testing
26.69668197631836
wall_clock_time_millis_training
241.58263206481934
wall_clock_time_millis_training
233.17289352416992
wall_clock_time_millis_training
248.2144832611084
wall_clock_time_millis_training
245.53346633911133
wall_clock_time_millis_training
234.2071533203125
wall_clock_time_millis_training
239.5799160003662
wall_clock_time_millis_training
235.20565032958984
wall_clock_time_millis_training
243.3311939239502
wall_clock_time_millis_training
243.58177185058594
wall_clock_time_millis_training
245.90659141540527