10559404
8323
Heinrich Peters
3903
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270376
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
memory
null
17494
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"}}]
17494
verbose
false
17494
C
0.04554492916694445
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.33190972541700026
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.13666030899153944
17495
kernel
"rbf"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
1050
pc3
https://www.openml.org/data/download/53933/pc3.arff
-1
22043773
description
https://api.openml.org/data/download/22043773/description.xml
-1
22043774
predictions
https://api.openml.org/data/download/22043774/predictions.arff
area_under_roc_curve
0.7439148253741982 [0.743915,0.743915]
average_cost
0
f_measure
0.8615006570907492 [0.944142,0.136842]
kappa
0.10800709886209388
kb_relative_information_score
-0.06136885476374583
mean_absolute_error
0.1655850736188369
mean_prior_absolute_error
0.1841804999396983
weighted_recall
0.8950735764555342 [0.987883,0.08125]
number_of_instances
1563 [1403,160]
precision
0.8559175219181002 [0.90411,0.433333]
predictive_accuracy
0.8950735764555343
prior_entropy
0.47645699262891783
relative_absolute_error
0.8990369429611191
root_mean_prior_squared_error
0.30313107457396465
root_mean_squared_error
0.2915283022493602
root_relative_squared_error
0.9617235800027708
total_cost
0
unweighted_recall
0.5345665538132574 [0.987883,0.08125]
area_under_roc_curve
0.7708333333333333 [0.770833,0.770833]
area_under_roc_curve
0.8056294326241135 [0.805629,0.805629]
area_under_roc_curve
0.811613475177305 [0.811613,0.811613]
area_under_roc_curve
0.8379464285714285 [0.837946,0.837946]
area_under_roc_curve
0.8830357142857144 [0.883036,0.883036]
area_under_roc_curve
0.6439732142857143 [0.643973,0.643973]
area_under_roc_curve
0.6540178571428571 [0.654018,0.654018]
area_under_roc_curve
0.6446428571428572 [0.644643,0.644643]
area_under_roc_curve
0.6906249999999999 [0.690625,0.690625]
area_under_roc_curve
0.7328125 [0.732812,0.732812]
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
0.8738785320204323 [0.949153,0.210526]
f_measure
0.8608672366634148 [0.945946,0.111111]
f_measure
0.8695957363837252 [0.945578,0.2]
f_measure
0.8523709167544783 [0.938356,0.1]
f_measure
0.8392403955543887 [0.935154,0]
f_measure
0.8774928774928773 [0.952381,0.222222]
f_measure
0.8638699286755118 [0.949153,0.117647]
f_measure
0.8486084362373021 [0.934708,0.095238]
f_measure
0.875894220721807 [0.944828,0.272727]
kappa
0.18427433321787356
kappa
0.09051412020275218
kappa
0.16600265604249687
kappa
0.06149732620320827
kappa
0
kappa
-0.033472803347280505
kappa
0.20408163265306098
kappa
0.10687022900763347
kappa
0.04878048780487801
kappa
0.22962962962962993
kb_relative_information_score
-0.09674188332432833
kb_relative_information_score
-0.07113090959714098
kb_relative_information_score
0.0021195933355845483
kb_relative_information_score
0.03432574237013996
kb_relative_information_score
0.05038612701467174
kb_relative_information_score
-0.06238725999128337
kb_relative_information_score
-0.1263969546004533
kb_relative_information_score
-0.10060490858058117
kb_relative_information_score
-0.058289742090625325
kb_relative_information_score
-0.1850069758451725
mean_absolute_error
0.165109254277177
mean_absolute_error
0.16485904697260315
mean_absolute_error
0.16007154849306793
mean_absolute_error
0.15844926628868955
mean_absolute_error
0.16240498003394283
mean_absolute_error
0.16929633779342515
mean_absolute_error
0.16862162643679254
mean_absolute_error
0.16471513355732945
mean_absolute_error
0.16817885999840954
mean_absolute_error
0.17418772958766043
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
number_of_instances
157 [141,16]
number_of_instances
157 [141,16]
number_of_instances
157 [141,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
precision
0.8843852538120054 [0.909091,0.666667]
precision
0.8621327306348879 [0.903226,0.5]
precision
0.8668664918196578 [0.908497,0.5]
precision
0.8345141700404858 [0.901316,0.25]
precision
0.803586391821686 [0.895425,0]
precision
0.9184149184149183 [0.909091,1]
precision
0.913151364764268 [0.903226,1]
precision
0.8287994566140262 [0.900662,0.2]
precision
0.870940170940171 [0.913333,0.5]
predictive_accuracy
0.9044585987261147
predictive_accuracy
0.8980891719745223
predictive_accuracy
0.8980891719745223
predictive_accuracy
0.8846153846153847
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.8782051282051282
predictive_accuracy
0.9102564102564102
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.8782051282051282
predictive_accuracy
0.8974358974358974
prior_entropy
0.47503096657936333
prior_entropy
0.47503096657936333
prior_entropy
0.47503096657936333
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
relative_absolute_error
0.8982213953763712
relative_absolute_error
0.896860226644603
relative_absolute_error
0.8708154505145421
relative_absolute_error
0.8595636803777598
relative_absolute_error
0.881022838536282
relative_absolute_error
0.9184074284260701
relative_absolute_error
0.9147472197644336
relative_absolute_error
0.8935550774750344
relative_absolute_error
0.9123452777533495
relative_absolute_error
0.9449425007006369
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_squared_error
0.2858399820637952
root_mean_squared_error
0.2851730934267056
root_mean_squared_error
0.276743597850982
root_mean_squared_error
0.2812126096913317
root_mean_squared_error
0.2868469049203438
root_mean_squared_error
0.30755041720084264
root_mean_squared_error
0.289827284902004
root_mean_squared_error
0.30012522994526586
root_mean_squared_error
0.3036390486066858
root_mean_squared_error
0.29690080558208076
root_relative_squared_error
0.9448239060062653
root_relative_squared_error
0.9426195526389833
root_relative_squared_error
0.9147564493809506
root_relative_squared_error
0.9269048429716049
root_relative_squared_error
0.9454760426778893
root_relative_squared_error
1.0137168865731194
root_relative_squared_error
0.9552996727132873
root_relative_squared_error
0.9892427279117437
root_relative_squared_error
1.0008246251039397
root_relative_squared_error
0.9786147032249688
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
unweighted_recall
0.5589539007092199 [0.992908,0.125]
unweighted_recall
0.5277039007092199 [0.992908,0.0625]
unweighted_recall
0.5554078014184397 [0.985816,0.125]
unweighted_recall
0.5205357142857143 [0.978571,0.0625]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.48928571428571427 [0.978571,0]
unweighted_recall
0.5625 [1,0.125]
unweighted_recall
0.53125 [1,0.0625]
unweighted_recall
0.5169642857142858 [0.971429,0.0625]
unweighted_recall
0.5830357142857143 [0.978571,0.1875]
usercpu_time_millis
401.2960000000021
usercpu_time_millis
410.99200000000025
usercpu_time_millis
420.8899999999929
usercpu_time_millis
399.0960000000001
usercpu_time_millis
403.3680000000004
usercpu_time_millis
398.18399999999343
usercpu_time_millis
416.5779999999941
usercpu_time_millis
545.3660000000013
usercpu_time_millis
573.1019999999986
usercpu_time_millis
442.19800000000475
usercpu_time_millis_testing
7.038000000001432
usercpu_time_millis_testing
7.7799999999967895
usercpu_time_millis_testing
7.435999999998444
usercpu_time_millis_testing
7.418000000001257
usercpu_time_millis_testing
7.677999999998519
usercpu_time_millis_testing
6.871999999994216
usercpu_time_millis_testing
7.365999999997541
usercpu_time_millis_testing
10.089999999998156
usercpu_time_millis_testing
12.073999999998364
usercpu_time_millis_testing
7.212000000002661
usercpu_time_millis_training
394.25800000000066
usercpu_time_millis_training
403.21200000000346
usercpu_time_millis_training
413.45399999999444
usercpu_time_millis_training
391.67799999999886
usercpu_time_millis_training
395.6900000000019
usercpu_time_millis_training
391.3119999999992
usercpu_time_millis_training
409.2119999999966
usercpu_time_millis_training
535.2760000000033
usercpu_time_millis_training
561.0280000000002
usercpu_time_millis_training
434.9860000000021
wall_clock_time_millis
204.73718643188477
wall_clock_time_millis
210.0698947906494
wall_clock_time_millis
218.4288501739502
wall_clock_time_millis
205.07264137268066
wall_clock_time_millis
206.90321922302246
wall_clock_time_millis
204.542875289917
wall_clock_time_millis
216.56250953674316
wall_clock_time_millis
361.7379665374756
wall_clock_time_millis
471.33612632751465
wall_clock_time_millis
250.5488395690918
wall_clock_time_millis_testing
3.5390853881835938
wall_clock_time_millis_testing
3.969907760620117
wall_clock_time_millis_testing
3.8919448852539062
wall_clock_time_millis_testing
3.8306713104248047
wall_clock_time_millis_testing
4.060029983520508
wall_clock_time_millis_testing
3.469705581665039
wall_clock_time_millis_testing
3.8170814514160156
wall_clock_time_millis_testing
5.634069442749023
wall_clock_time_millis_testing
7.302045822143555
wall_clock_time_millis_testing
3.8099288940429688
wall_clock_time_millis_training
201.19810104370117
wall_clock_time_millis_training
206.0999870300293
wall_clock_time_millis_training
214.5369052886963
wall_clock_time_millis_training
201.24197006225586
wall_clock_time_millis_training
202.84318923950195
wall_clock_time_millis_training
201.07316970825195
wall_clock_time_millis_training
212.74542808532715
wall_clock_time_millis_training
356.10389709472656
wall_clock_time_millis_training
464.0340805053711
wall_clock_time_millis_training
246.73891067504883
weighted_recall
0.9044585987261147 [0.992908,0.125]
weighted_recall
0.8980891719745223 [0.992908,0.0625]
weighted_recall
0.8980891719745223 [0.985816,0.125]
weighted_recall
0.8846153846153846 [0.978571,0.0625]
weighted_recall
0.8974358974358975 [1,0]
weighted_recall
0.8782051282051282 [0.978571,0]
weighted_recall
0.9102564102564102 [1,0.125]
weighted_recall
0.9038461538461539 [1,0.0625]
weighted_recall
0.8782051282051282 [0.971429,0.0625]
weighted_recall
0.8974358974358975 [0.978571,0.1875]