10496235
8323
Heinrich Peters
3918
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275615
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
0.01
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
10000
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"lbfgs"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
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": "logisticregression", "step_name": "logisticregression"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
1068
pc1
https://www.openml.org/data/download/53951/pc1.arff
-1
21917417
description
https://api.openml.org/data/download/21917417/description.xml
-1
21917418
predictions
https://api.openml.org/data/download/21917418/predictions.arff
area_under_roc_curve
0.7881933957515352 [0.788193,0.788193]
average_cost
0
f_measure
0.8994809977562374 [0.962998,0.048193]
kappa
0.03854131229217642
kb_relative_information_score
-0.1256282093250953
mean_absolute_error
0.11883036056602118
mean_prior_absolute_error
0.12988972477049396
weighted_recall
0.9287646528403968 [0.996124,0.025974]
number_of_instances
1109 [1032,77]
precision
0.8904367981849104 [0.932004,0.333333]
predictive_accuracy
0.9287646528403968
prior_entropy
0.36380676688852276
relative_absolute_error
0.9148557422535625
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.2438783372301342
root_relative_squared_error
0.9594393824411188
total_cost
0
unweighted_recall
0.511049028490889 [0.996124,0.025974]
area_under_roc_curve
0.7980769230769231 [0.798077,0.798077]
area_under_roc_curve
0.7802197802197802 [0.78022,0.78022]
area_under_roc_curve
0.7985436893203883 [0.798544,0.798544]
area_under_roc_curve
0.6917475728155339 [0.691748,0.691748]
area_under_roc_curve
0.7026699029126213 [0.70267,0.70267]
area_under_roc_curve
0.7888349514563107 [0.788835,0.788835]
area_under_roc_curve
0.9138349514563107 [0.913835,0.913835]
area_under_roc_curve
0.7924757281553398 [0.792476,0.792476]
area_under_roc_curve
0.7936893203883495 [0.793689,0.793689]
area_under_roc_curve
0.8252427184466019 [0.825243,0.825243]
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
0.926433442788583 [0.971963,0.25]
f_measure
0.9019112570514438 [0.962617,0]
f_measure
0.8887197056211139 [0.957746,0]
f_measure
0.8887197056211139 [0.957746,0]
f_measure
0.9134486599275331 [0.967136,0.222222]
f_measure
0.8887197056211139 [0.957746,0]
kappa
0.23798627002288333
kappa
-0.01601830663615609
kappa
-0.016276703967446498
kappa
-0.016276703967446498
kappa
0
kappa
0
kappa
0.20956256358087416
kappa
-0.016276703967446498
kappa
0
kappa
0
kb_relative_information_score
0.037360503900509816
kb_relative_information_score
-0.3286157165297749
kb_relative_information_score
-0.1457649881539418
kb_relative_information_score
-0.14020711759027446
kb_relative_information_score
-0.19317910214553077
kb_relative_information_score
-0.06851057379123515
kb_relative_information_score
0.019158417519062807
kb_relative_information_score
-0.19666355219736303
kb_relative_information_score
-0.1216094865456978
kb_relative_information_score
-0.12145990424525913
mean_absolute_error
0.10255657108734638
mean_absolute_error
0.12182474229063082
mean_absolute_error
0.12487901641223846
mean_absolute_error
0.12384702991059664
mean_absolute_error
0.12272363646239402
mean_absolute_error
0.11800146434775059
mean_absolute_error
0.11059220003588087
mean_absolute_error
0.12713335396621397
mean_absolute_error
0.12113710241397545
mean_absolute_error
0.11557919898924911
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1249079453399885
number_of_instances
111 [104,7]
number_of_instances
111 [104,7]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
110 [103,7]
precision
0.9488943488943489 [0.945455,1]
precision
0.8773136773136774 [0.936364,0]
precision
0.8604422604422604 [0.927273,0]
precision
0.8604422604422604 [0.927273,0]
precision
0.940950040950041 [0.936364,1]
precision
0.8604422604422604 [0.927273,0]
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.927927927927928
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9369369369369369
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9363636363636364
prior_entropy
0.3400686187404258
prior_entropy
0.3400686187404258
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.3422054374333021
relative_absolute_error
0.8243093855870854
relative_absolute_error
0.979179368052069
relative_absolute_error
0.944913804330204
relative_absolute_error
0.937105140238354
relative_absolute_error
0.9286048332420479
relative_absolute_error
0.8928738854355721
relative_absolute_error
0.8368106946020903
relative_absolute_error
0.9619715513846778
relative_absolute_error
0.9166001108598522
relative_absolute_error
0.9253150283967336
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.24419244540685378
root_mean_squared_error
0.21816632757535953
root_mean_squared_error
0.24182512023641983
root_mean_squared_error
0.25450290510860074
root_mean_squared_error
0.2513494418176144
root_mean_squared_error
0.2550167769151738
root_mean_squared_error
0.24600031631217087
root_mean_squared_error
0.22536775139097218
root_mean_squared_error
0.2642259267715157
root_mean_squared_error
0.2454334694293024
root_mean_squared_error
0.23302864365463022
root_relative_squared_error
0.8971344387419368
root_relative_squared_error
0.9944231354495465
root_relative_squared_error
0.9841036059573395
root_relative_squared_error
0.9719098960482542
root_relative_squared_error
0.986090628846656
root_relative_squared_error
0.9512260704692136
root_relative_squared_error
0.8714447354371587
root_relative_squared_error
1.0217002717996917
root_relative_squared_error
0.9490342052674451
root_relative_squared_error
0.9542827717965504
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
0.5714285714285714 [1,0.142857]
unweighted_recall
0.4951923076923077 [0.990385,0]
unweighted_recall
0.49514563106796117 [0.990291,0]
unweighted_recall
0.49514563106796117 [0.990291,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5625 [1,0.125]
unweighted_recall
0.49514563106796117 [0.990291,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
usercpu_time_millis
11.302487997454591
usercpu_time_millis
11.578516001463868
usercpu_time_millis
10.79350100189913
usercpu_time_millis
10.503532997972798
usercpu_time_millis
10.844785996596329
usercpu_time_millis
10.330605000490323
usercpu_time_millis
9.907365994877182
usercpu_time_millis
13.385047001065686
usercpu_time_millis
14.479616991593502
usercpu_time_millis
10.361087006458547
usercpu_time_millis_testing
0.5641059979097918
usercpu_time_millis_testing
0.5453830017358996
usercpu_time_millis_testing
0.5099620029795915
usercpu_time_millis_testing
0.5350580031517893
usercpu_time_millis_testing
0.4766709971590899
usercpu_time_millis_testing
0.4733680034405552
usercpu_time_millis_testing
0.5278469980112277
usercpu_time_millis_testing
0.8004039991647005
usercpu_time_millis_testing
0.4767479986185208
usercpu_time_millis_testing
0.4767300051753409
usercpu_time_millis_training
10.7383819995448
usercpu_time_millis_training
11.033132999727968
usercpu_time_millis_training
10.28353899891954
usercpu_time_millis_training
9.968474994821008
usercpu_time_millis_training
10.368114999437239
usercpu_time_millis_training
9.857236997049768
usercpu_time_millis_training
9.379518996865954
usercpu_time_millis_training
12.584643001900986
usercpu_time_millis_training
14.002868992974982
usercpu_time_millis_training
9.884357001283206
wall_clock_time_millis
11.30986213684082
wall_clock_time_millis
11.581897735595703
wall_clock_time_millis
10.795354843139648
wall_clock_time_millis
10.507345199584961
wall_clock_time_millis
10.854721069335938
wall_clock_time_millis
10.333538055419922
wall_clock_time_millis
9.911775588989258
wall_clock_time_millis
13.396263122558594
wall_clock_time_millis
14.4805908203125
wall_clock_time_millis
10.369062423706055
wall_clock_time_millis_testing
0.5686283111572266
wall_clock_time_millis_testing
0.5486011505126953
wall_clock_time_millis_testing
0.5137920379638672
wall_clock_time_millis_testing
0.5376338958740234
wall_clock_time_millis_testing
0.4799365997314453
wall_clock_time_millis_testing
0.4761219024658203
wall_clock_time_millis_testing
0.5311965942382812
wall_clock_time_millis_testing
0.8072853088378906
wall_clock_time_millis_testing
0.47969818115234375
wall_clock_time_millis_testing
0.4811286926269531
wall_clock_time_millis_training
10.741233825683594
wall_clock_time_millis_training
11.033296585083008
wall_clock_time_millis_training
10.281562805175781
wall_clock_time_millis_training
9.969711303710938
wall_clock_time_millis_training
10.374784469604492
wall_clock_time_millis_training
9.857416152954102
wall_clock_time_millis_training
9.380578994750977
wall_clock_time_millis_training
12.588977813720703
wall_clock_time_millis_training
14.000892639160156
wall_clock_time_millis_training
9.887933731079102
weighted_recall
0.9459459459459459 [1,0.142857]
weighted_recall
0.9279279279279279 [0.990385,0]
weighted_recall
0.918918918918919 [0.990291,0]
weighted_recall
0.918918918918919 [0.990291,0]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9369369369369369 [1,0.125]
weighted_recall
0.918918918918919 [0.990291,0]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9363636363636364 [1,0]