10559421
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)
8270435
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
86.04139203556576
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.0
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.005047142445217977
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
22043807
description
https://api.openml.org/data/download/22043807/description.xml
-1
22043808
predictions
https://api.openml.org/data/download/22043808/predictions.arff
area_under_roc_curve
0.7261359586600141 [0.726136,0.726136]
average_cost
0
f_measure
0.8525838436874605 [0.943371,0.056497]
kappa
0.03757222236561231
kb_relative_information_score
-0.03280203662296111
mean_absolute_error
0.1740596767192729
mean_prior_absolute_error
0.1841804999396983
weighted_recall
0.8931541906589892 [0.991447,0.03125]
number_of_instances
1563 [1403,160]
precision
0.8377452477516 [0.899741,0.294118]
predictive_accuracy
0.893154190658989
prior_entropy
0.47645699262891783
relative_absolute_error
0.9450494312712854
root_mean_prior_squared_error
0.30313107457396465
root_mean_squared_error
0.29519707582758786
root_relative_squared_error
0.9738265080294799
total_cost
0
unweighted_recall
0.5113484497505345 [0.991447,0.03125]
area_under_roc_curve
0.5345744680851063 [0.534574,0.534574]
area_under_roc_curve
0.8297872340425533 [0.829787,0.829787]
area_under_roc_curve
0.8475177304964537 [0.847518,0.847518]
area_under_roc_curve
0.7111607142857144 [0.711161,0.711161]
area_under_roc_curve
0.8058035714285714 [0.805804,0.805804]
area_under_roc_curve
0.7064732142857143 [0.706473,0.706473]
area_under_roc_curve
0.6825892857142858 [0.682589,0.682589]
area_under_roc_curve
0.6897321428571429 [0.689732,0.689732]
area_under_roc_curve
0.7767857142857143 [0.776786,0.776786]
area_under_roc_curve
0.7417410714285714 [0.741741,0.741741]
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
0.8402461405592141 [0.935593,0]
f_measure
0.8434756412463419 [0.939189,0]
f_measure
0.8599918599918599 [0.945578,0.111111]
f_measure
0.8457192524989134 [0.942373,0]
f_measure
0.8730845228060965 [0.948805,0.210526]
f_measure
0.8457192524989134 [0.942373,0]
f_measure
0.8457192524989134 [0.942373,0]
f_measure
0.8687741482262029 [0.945205,0.2]
kappa
-0.033252511257360166
kappa
0
kappa
-0.02317161477190379
kappa
0.09037900874635584
kappa
0
kappa
-0.012213740458014988
kappa
0.18410041841004185
kappa
-0.012213740458014988
kappa
-0.012213740458014988
kappa
0.16577540106951896
kb_relative_information_score
-0.12205054873535856
kb_relative_information_score
0.07091262846969036
kb_relative_information_score
-0.053603299046560506
kb_relative_information_score
0.03969493134517138
kb_relative_information_score
-0.004140750006958869
kb_relative_information_score
0.0038706232595108643
kb_relative_information_score
-0.0034079470462681518
kb_relative_information_score
-0.100229460174675
kb_relative_information_score
-0.08374787714049424
kb_relative_information_score
-0.07530533525560112
mean_absolute_error
0.17372001378735763
mean_absolute_error
0.17024285884450668
mean_absolute_error
0.18070726353498018
mean_absolute_error
0.1685403270256072
mean_absolute_error
0.17164582348369548
mean_absolute_error
0.17035618018714527
mean_absolute_error
0.16909682243066543
mean_absolute_error
0.18440494034383487
mean_absolute_error
0.17564856945123838
mean_absolute_error
0.17621799947543415
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
0.8047812060550914 [0.896104,0]
precision
0.8053831929319909 [0.896774,0]
precision
0.8613053613053614 [0.902597,0.5]
precision
0.80479735318445 [0.896774,0]
precision
0.8836936483995308 [0.908497,0.666667]
precision
0.80479735318445 [0.896774,0]
precision
0.80479735318445 [0.896774,0]
precision
0.8660593792172739 [0.907895,0.5]
predictive_accuracy
0.8789808917197451
predictive_accuracy
0.8980891719745223
predictive_accuracy
0.8853503184713375
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.891025641025641
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.891025641025641
predictive_accuracy
0.891025641025641
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
0.9450653379303167
relative_absolute_error
0.9261490453313308
relative_absolute_error
0.9830771213741248
relative_absolute_error
0.9143061825622562
relative_absolute_error
0.9311530385145642
relative_absolute_error
0.9241569156272704
relative_absolute_error
0.9173250872860789
relative_absolute_error
1.0003693479589344
relative_absolute_error
0.952867339477055
relative_absolute_error
0.9559564125840488
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
0.30482463050257724
root_mean_squared_error
0.2850878751587083
root_mean_squared_error
0.29698386627506407
root_mean_squared_error
0.28171825395644773
root_mean_squared_error
0.2948449534635761
root_mean_squared_error
0.29601088010265547
root_mean_squared_error
0.28524992664211424
root_mean_squared_error
0.304284789759485
root_mean_squared_error
0.3070236319999974
root_mean_squared_error
0.2947421432324489
root_relative_squared_error
1.007576322804565
root_relative_squared_error
0.9423378696628966
root_relative_squared_error
0.98165922950633
root_relative_squared_error
0.9285714969622325
root_relative_squared_error
0.971838409348364
root_relative_squared_error
0.9756814199782873
root_relative_squared_error
0.9402122428012187
root_relative_squared_error
1.002953052426216
root_relative_squared_error
1.0119805499472292
root_relative_squared_error
0.9714995365601081
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
0.48936170212765956 [0.978723,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.4929078014184397 [0.985816,0]
unweighted_recall
0.5276785714285714 [0.992857,0.0625]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.49642857142857144 [0.992857,0]
unweighted_recall
0.5589285714285714 [0.992857,0.125]
unweighted_recall
0.49642857142857144 [0.992857,0]
unweighted_recall
0.49642857142857144 [0.992857,0]
unweighted_recall
0.5553571428571429 [0.985714,0.125]
usercpu_time_millis
498.6859999999922
usercpu_time_millis
575.4499999999894
usercpu_time_millis
542.8180000000111
usercpu_time_millis
526.1780000000158
usercpu_time_millis
529.6299999999974
usercpu_time_millis
518.4299999999951
usercpu_time_millis
550.1160000000027
usercpu_time_millis
500.5160000000046
usercpu_time_millis
485.25199999997426
usercpu_time_millis
574.5260000000201
usercpu_time_millis_testing
6.008000000008451
usercpu_time_millis_testing
5.903999999986809
usercpu_time_millis_testing
4.946000000018103
usercpu_time_millis_testing
5.636000000009744
usercpu_time_millis_testing
5.295999999987089
usercpu_time_millis_testing
5.356000000006134
usercpu_time_millis_testing
5.701999999985219
usercpu_time_millis_testing
5.361999999990985
usercpu_time_millis_testing
4.855999999989535
usercpu_time_millis_testing
5.374000000017531
usercpu_time_millis_training
492.67799999998374
usercpu_time_millis_training
569.5460000000026
usercpu_time_millis_training
537.871999999993
usercpu_time_millis_training
520.542000000006
usercpu_time_millis_training
524.3340000000103
usercpu_time_millis_training
513.0739999999889
usercpu_time_millis_training
544.4140000000175
usercpu_time_millis_training
495.15400000001364
usercpu_time_millis_training
480.3959999999847
usercpu_time_millis_training
569.1520000000025
wall_clock_time_millis
258.5470676422119
wall_clock_time_millis
295.41802406311035
wall_clock_time_millis
280.6832790374756
wall_clock_time_millis
269.4258689880371
wall_clock_time_millis
270.94268798828125
wall_clock_time_millis
263.8697624206543
wall_clock_time_millis
281.25548362731934
wall_clock_time_millis
252.83408164978027
wall_clock_time_millis
245.21327018737793
wall_clock_time_millis
298.21085929870605
wall_clock_time_millis_testing
3.0879974365234375
wall_clock_time_millis_testing
3.1430721282958984
wall_clock_time_millis_testing
2.4781227111816406
wall_clock_time_millis_testing
2.933025360107422
wall_clock_time_millis_testing
2.653837203979492
wall_clock_time_millis_testing
2.7260780334472656
wall_clock_time_millis_testing
2.863645553588867
wall_clock_time_millis_testing
2.7179718017578125
wall_clock_time_millis_testing
2.432107925415039
wall_clock_time_millis_testing
2.7549266815185547
wall_clock_time_millis_training
255.45907020568848
wall_clock_time_millis_training
292.27495193481445
wall_clock_time_millis_training
278.20515632629395
wall_clock_time_millis_training
266.4928436279297
wall_clock_time_millis_training
268.28885078430176
wall_clock_time_millis_training
261.14368438720703
wall_clock_time_millis_training
278.39183807373047
wall_clock_time_millis_training
250.11610984802246
wall_clock_time_millis_training
242.7811622619629
wall_clock_time_millis_training
295.4559326171875
weighted_recall
0.8789808917197452 [0.978723,0]
weighted_recall
0.8980891719745223 [1,0]
weighted_recall
0.8853503184713376 [0.985816,0]
weighted_recall
0.8974358974358975 [0.992857,0.0625]
weighted_recall
0.8974358974358975 [1,0]
weighted_recall
0.8910256410256411 [0.992857,0]
weighted_recall
0.9038461538461539 [0.992857,0.125]
weighted_recall
0.8910256410256411 [0.992857,0]
weighted_recall
0.8910256410256411 [0.992857,0]
weighted_recall
0.8974358974358975 [0.985714,0.125]