10325419
8323
Heinrich Peters
10093
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8181104
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
81356.92108932823
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.33706310267468553
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
2.238549391298506
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
6385
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.
1462
banknote-authentication
https://www.openml.org/data/download/1586223/php50jXam
-1
21572524
description
https://api.openml.org/data/download/21572524/description.xml
-1
21572525
predictions
https://api.openml.org/data/download/21572525/predictions.arff
area_under_roc_curve
0.2709349855858182 [0.270935,0.270935]
average_cost
0
f_measure
0.27988338192419826 [0.351706,0.190164]
kappa
-0.45813002882836357
kb_relative_information_score
-0.46603236268209214
mean_absolute_error
0.7201166180758017
mean_prior_absolute_error
0.49387203415364794
number_of_instances
1372 [762,610]
precision
0.27988338192419826 [0.351706,0.190164]
predictive_accuracy
0.27988338192419826
prior_entropy
0.9911281447384036
recall
0.27988338192419826 [0.351706,0.190164]
relative_absolute_error
1.4581036549475224
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.8485968525017058
root_relative_squared_error
1.70770605810118
total_cost
0
area_under_roc_curve
0.30955929316585057 [0.309559,0.309559]
area_under_roc_curve
0.30136257185437515 [0.301363,0.301363]
area_under_roc_curve
0.2512942191544435 [0.251294,0.251294]
area_under_roc_curve
0.28753235547886113 [0.287532,0.287532]
area_under_roc_curve
0.16425798101811906 [0.164258,0.164258]
area_under_roc_curve
0.2907679033649699 [0.290768,0.290768]
area_under_roc_curve
0.21861518550474546 [0.218615,0.218615]
area_under_roc_curve
0.25959879206212244 [0.259599,0.259599]
area_under_roc_curve
0.35968507333908545 [0.359685,0.359685]
area_under_roc_curve
0.26617773943054357 [0.266178,0.266178]
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
0.3188405797101449 [0.38961,0.229508]
f_measure
0.31097021470603003 [0.387097,0.214876]
f_measure
0.25762579992000795 [0.30137,0.203125]
f_measure
0.2963770115817622 [0.384615,0.186441]
f_measure
0.1703724499344937 [0.208333,0.123077]
f_measure
0.29927007299270075 [0.368421,0.213115]
f_measure
0.22712166847302148 [0.339623,0.086957]
f_measure
0.26873005340158623 [0.350649,0.166667]
f_measure
0.36619095674325186 [0.416107,0.304]
f_measure
0.2752566814340523 [0.36129,0.168067]
kappa
-0.3808814136682991
kappa
-0.3979526551503518
kappa
-0.4926297799615466
kappa
-0.42770299609205376
kappa
-0.6629045996592846
kappa
-0.4184641932700603
kappa
-0.5692156648849133
kappa
-0.48236312486474797
kappa
-0.2792744445637007
kappa
-0.46992521946461463
kb_relative_information_score
-0.3878790546223012
kb_relative_information_score
-0.40264372541615545
kb_relative_information_score
-0.5154066303089769
kb_relative_information_score
-0.42626506382021456
kb_relative_information_score
-0.693689763286502
kb_relative_information_score
-0.42626506382021423
kb_relative_information_score
-0.5599774135533581
kb_relative_information_score
-0.48569277481272266
kb_relative_information_score
-0.2925527140870693
kb_relative_information_score
-0.47083584706459614
mean_absolute_error
0.6811594202898551
mean_absolute_error
0.6884057971014492
mean_absolute_error
0.7445255474452555
mean_absolute_error
0.7007299270072993
mean_absolute_error
0.8321167883211679
mean_absolute_error
0.7007299270072993
mean_absolute_error
0.7664233576642335
mean_absolute_error
0.7299270072992701
mean_absolute_error
0.635036496350365
mean_absolute_error
0.7226277372262774
mean_prior_absolute_error
0.49358690378246245
mean_prior_absolute_error
0.49358690378246245
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
number_of_instances
138 [77,61]
number_of_instances
138 [77,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
precision
0.3188405797101449 [0.38961,0.229508]
precision
0.3103771832032702 [0.384615,0.216667]
precision
0.26074113270975674 [0.314286,0.19403]
precision
0.2939556921500832 [0.375,0.192982]
precision
0.1739939390545174 [0.220588,0.115942]
precision
0.29927007299270075 [0.368421,0.213115]
precision
0.2216864212730891 [0.325301,0.092593]
precision
0.2674939807192684 [0.346154,0.169492]
precision
0.3677616613338666 [0.424658,0.296875]
precision
0.2733864981026996 [0.35443,0.172414]
predictive_accuracy
0.3188405797101449
predictive_accuracy
0.3115942028985507
predictive_accuracy
0.25547445255474455
predictive_accuracy
0.29927007299270075
predictive_accuracy
0.1678832116788321
predictive_accuracy
0.29927007299270075
predictive_accuracy
0.23357664233576642
predictive_accuracy
0.27007299270072993
predictive_accuracy
0.36496350364963503
predictive_accuracy
0.2773722627737226
prior_entropy
0.9903020513891087
prior_entropy
0.9903020513891087
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
recall
0.3188405797101449 [0.38961,0.229508]
recall
0.3115942028985507 [0.38961,0.213115]
recall
0.25547445255474455 [0.289474,0.213115]
recall
0.29927007299270075 [0.394737,0.180328]
recall
0.1678832116788321 [0.197368,0.131148]
recall
0.29927007299270075 [0.368421,0.213115]
recall
0.23357664233576642 [0.355263,0.081967]
recall
0.27007299270072993 [0.355263,0.163934]
recall
0.36496350364963503 [0.407895,0.311475]
recall
0.2773722627737226 [0.368421,0.163934]
relative_absolute_error
1.3800192328240157
relative_absolute_error
1.394700288492356
relative_absolute_error
1.5073081018294407
relative_absolute_error
1.4186429193688854
relative_absolute_error
1.6846384667505518
relative_absolute_error
1.4186429193688854
relative_absolute_error
1.5516406930597189
relative_absolute_error
1.4777530410092559
relative_absolute_error
1.2856451456780524
relative_absolute_error
1.4629755105991635
root_mean_prior_squared_error
0.49663510423610374
root_mean_prior_squared_error
0.49663510423610374
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_squared_error
0.8253238275306579
root_mean_squared_error
0.8297022339981068
root_mean_squared_error
0.8628589383237885
root_mean_squared_error
0.837096127698187
root_mean_squared_error
0.912204356666404
root_mean_squared_error
0.837096127698187
root_mean_squared_error
0.8754560855144212
root_mean_squared_error
0.854357657716761
root_mean_squared_error
0.796891772043334
root_mean_squared_error
0.8500751362240149
root_relative_squared_error
1.6618314341675962
root_relative_squared_error
1.6706475779119725
root_relative_squared_error
1.7361545057088577
root_relative_squared_error
1.6843172728069744
root_relative_squared_error
1.835442195256407
root_relative_squared_error
1.6843172728069744
root_relative_squared_error
1.761501167698106
root_relative_squared_error
1.7190491180555079
root_relative_squared_error
1.6034222734981745
root_relative_squared_error
1.7104322762344453
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
41.749568001250736
usercpu_time_millis
47.481697001785506
usercpu_time_millis
46.103316999506205
usercpu_time_millis
45.522651002102066
usercpu_time_millis
46.61340300299344
usercpu_time_millis
47.65303499880247
usercpu_time_millis
46.88306399839348
usercpu_time_millis
45.11043999809772
usercpu_time_millis
46.141134000208694
usercpu_time_millis
46.05355000239797
usercpu_time_millis_testing
3.043950000574114
usercpu_time_millis_testing
3.146205999655649
usercpu_time_millis_testing
3.093897001235746
usercpu_time_millis_testing
3.0835729994578287
usercpu_time_millis_testing
3.107993001322029
usercpu_time_millis_testing
3.0058359989197925
usercpu_time_millis_testing
3.0963699973654
usercpu_time_millis_testing
3.2737629990151618
usercpu_time_millis_testing
4.9132390013255645
usercpu_time_millis_testing
2.935266002168646
usercpu_time_millis_training
38.70561800067662
usercpu_time_millis_training
44.33549100212986
usercpu_time_millis_training
43.00941999827046
usercpu_time_millis_training
42.43907800264424
usercpu_time_millis_training
43.50541000167141
usercpu_time_millis_training
44.647198999882676
usercpu_time_millis_training
43.78669400102808
usercpu_time_millis_training
41.836676999082556
usercpu_time_millis_training
41.22789499888313
usercpu_time_millis_training
43.11828400022932
wall_clock_time_millis
41.7628288269043
wall_clock_time_millis
47.57070541381836
wall_clock_time_millis
46.578407287597656
wall_clock_time_millis
45.55940628051758
wall_clock_time_millis
46.672821044921875
wall_clock_time_millis
63.71712684631348
wall_clock_time_millis
100.21281242370605
wall_clock_time_millis
45.17483711242676
wall_clock_time_millis
46.198368072509766
wall_clock_time_millis
46.080589294433594
wall_clock_time_millis_testing
3.050088882446289
wall_clock_time_millis_testing
3.1523704528808594
wall_clock_time_millis_testing
3.1027793884277344
wall_clock_time_millis_testing
3.110170364379883
wall_clock_time_millis_testing
3.128528594970703
wall_clock_time_millis_testing
3.0121803283691406
wall_clock_time_millis_testing
3.1037330627441406
wall_clock_time_millis_testing
3.284931182861328
wall_clock_time_millis_testing
4.924297332763672
wall_clock_time_millis_testing
2.9420852661132812
wall_clock_time_millis_training
38.71273994445801
wall_clock_time_millis_training
44.4183349609375
wall_clock_time_millis_training
43.47562789916992
wall_clock_time_millis_training
42.449235916137695
wall_clock_time_millis_training
43.54429244995117
wall_clock_time_millis_training
60.704946517944336
wall_clock_time_millis_training
97.10907936096191
wall_clock_time_millis_training
41.88990592956543
wall_clock_time_millis_training
41.274070739746094
wall_clock_time_millis_training
43.13850402832031