10558069
8323
Heinrich Peters
3904
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275913
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
C
1.0229391816
17462
class_weight
null
17462
dual
true
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
309
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18591
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"}}]
18591
verbose
false
18591
openml-python
Sklearn_0.21.2.
1053
jm1
https://www.openml.org/data/download/53936/jm1.arff
-1
22041098
description
https://api.openml.org/data/download/22041098/description.xml
-1
22041099
predictions
https://api.openml.org/data/download/22041099/predictions.arff
area_under_roc_curve
0.7134585393119015 [0.713459,0.713459]
average_cost
0
f_measure
0.7570268628574408 [0.89392,0.18638]
kappa
0.1322200272180515
kb_relative_information_score
0.05180768262235403
mean_absolute_error
0.27945174362841946
mean_prior_absolute_error
0.31212214303703906
weighted_recall
0.8123105190629306 [0.980522,0.111111]
number_of_instances
10885 [8779,2106]
precision
0.7742437067608271 [0.821374,0.577778]
predictive_accuracy
0.8123105190629306
prior_entropy
0.7086892261862012
relative_absolute_error
0.8953281587434742
root_mean_prior_squared_error
0.3950238150239175
root_mean_squared_error
0.3742989438185499
root_relative_squared_error
0.9475351348016504
total_cost
0
unweighted_recall
0.5458164053106529 [0.980522,0.111111]
area_under_roc_curve
0.7127924300165175 [0.712792,0.712792]
area_under_roc_curve
0.7426345960768226 [0.742635,0.742635]
area_under_roc_curve
0.7158017467531766 [0.715802,0.715802]
area_under_roc_curve
0.6958916753932353 [0.695892,0.695892]
area_under_roc_curve
0.715933994753263 [0.715934,0.715934]
area_under_roc_curve
0.7292629352424341 [0.729263,0.729263]
area_under_roc_curve
0.7106220848248183 [0.710622,0.710622]
area_under_roc_curve
0.6891663954875799 [0.689166,0.689166]
area_under_roc_curve
0.7088784032975377 [0.708878,0.708878]
area_under_roc_curve
0.7191578355769075 [0.719158,0.719158]
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
0.7658179753845716 [0.895833,0.224806]
f_measure
0.761883109105531 [0.895584,0.205534]
f_measure
0.7673908412371938 [0.899482,0.217742]
f_measure
0.75480048429275 [0.893727,0.176707]
f_measure
0.755928325611391 [0.892356,0.188235]
f_measure
0.746164993082051 [0.891304,0.139344]
f_measure
0.757649136816819 [0.895909,0.179592]
f_measure
0.7668607843455316 [0.8963,0.225681]
f_measure
0.7552428110439253 [0.893617,0.176707]
f_measure
0.7379585252580063 [0.885075,0.126482]
kappa
0.16592628902300774
kappa
0.1509117780544857
kappa
0.16974117536096334
kappa
0.12495835374816222
kappa
0.13006749586110283
kappa
0.09041689225771514
kappa
0.13170809179703027
kappa
0.16686419677076778
kappa
0.12372511118444805
kappa
0.06636638968703888
kb_relative_information_score
0.05225183000326702
kb_relative_information_score
0.06844230237371163
kb_relative_information_score
0.07118484482767165
kb_relative_information_score
0.04995202705338156
kb_relative_information_score
0.04310559151555248
kb_relative_information_score
0.052750044082886444
kb_relative_information_score
0.07060544604510388
kb_relative_information_score
0.04286739514325362
kb_relative_information_score
0.03495618461247093
kb_relative_information_score
0.03193461253827552
mean_absolute_error
0.27761534545291394
mean_absolute_error
0.27738930651459626
mean_absolute_error
0.27613119968963545
mean_absolute_error
0.2805651970718897
mean_absolute_error
0.28119603758661305
mean_absolute_error
0.27893018333823166
mean_absolute_error
0.27652349195272263
mean_absolute_error
0.27991323307544963
mean_absolute_error
0.2827450495820095
mean_absolute_error
0.28351240087291235
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
0.3124019844228689
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [877,211]
precision
0.7849737401187707 [0.825336,0.617021]
precision
0.7837287021970533 [0.823305,0.619048]
precision
0.8066174775473081 [0.825095,0.72973]
precision
0.7734327509752145 [0.820171,0.578947]
precision
0.7676539206769741 [0.821053,0.545455]
precision
0.7557239926331064 [0.816888,0.5]
precision
0.7842316770012848 [0.821462,0.628571]
precision
0.785767910236018 [0.826129,0.617021]
precision
0.7712388495399627 [0.820782,0.564103]
precision
0.7296752651825549 [0.813576,0.380952]
predictive_accuracy
0.8163452708907255
predictive_accuracy
0.815426997245179
predictive_accuracy
0.8218549127640037
predictive_accuracy
0.8117539026629936
predictive_accuracy
0.8099173553719008
predictive_accuracy
0.8069852941176471
predictive_accuracy
0.8152573529411765
predictive_accuracy
0.817095588235294
predictive_accuracy
0.8115808823529411
predictive_accuracy
0.796875
prior_entropy
0.7092626186985694
prior_entropy
0.7092626186985694
prior_entropy
0.7092626186985694
prior_entropy
0.7092626186985694
prior_entropy
0.7092626186985694
prior_entropy
0.7077368083817637
prior_entropy
0.7077368083817637
prior_entropy
0.7077368083817637
prior_entropy
0.7077368083817637
prior_entropy
0.7096292997655923
relative_absolute_error
0.8889584331386325
relative_absolute_error
0.8882346286958075
relative_absolute_error
0.8842060161203262
relative_absolute_error
0.8984042203263617
relative_absolute_error
0.900424249134978
relative_absolute_error
0.8944696364426825
relative_absolute_error
0.8867518902208059
relative_absolute_error
0.8976220673862645
relative_absolute_error
0.9067030992444178
relative_absolute_error
0.907524327659675
root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
0.39466479247293623
root_mean_prior_squared_error
0.39466479247293623
root_mean_prior_squared_error
0.39466479247293623
root_mean_prior_squared_error
0.39466479247293623
root_mean_prior_squared_error
0.3953778646078222
root_mean_squared_error
0.37133752588985586
root_mean_squared_error
0.36952039979103346
root_mean_squared_error
0.3704134274483875
root_mean_squared_error
0.37729957344751947
root_mean_squared_error
0.3765633659199074
root_mean_squared_error
0.3749510421990065
root_mean_squared_error
0.37128494866964684
root_mean_squared_error
0.37559644045812673
root_mean_squared_error
0.37659226791658534
root_mean_squared_error
0.379299573440386
root_relative_squared_error
0.9395246197737538
root_relative_squared_error
0.9349270916812564
root_relative_squared_error
0.9371865494837298
root_relative_squared_error
0.9546092532248541
root_relative_squared_error
0.952746567529955
root_relative_squared_error
0.950049382032775
root_relative_squared_error
0.9407602495860011
root_relative_squared_error
0.9516846894415668
root_relative_squared_error
0.9542079128895437
root_relative_squared_error
0.9593343669267261
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
0.5584698096708375 [0.979499,0.137441]
unweighted_recall
0.55249975709551 [0.981777,0.123223]
unweighted_recall
0.5582862818339829 [0.98861,0.127962]
unweighted_recall
0.543021084109728 [0.981777,0.104265]
unweighted_recall
0.5454825162746009 [0.977221,0.113744]
unweighted_recall
0.530795097082113 [0.980638,0.080952]
unweighted_recall
0.5449777633148931 [0.985194,0.104762]
unweighted_recall
0.5587970495715371 [0.979499,0.138095]
unweighted_recall
0.5426998589868749 [0.980638,0.104762]
unweighted_recall
0.5230914308256821 [0.970353,0.075829]
usercpu_time_millis
856.2100000017381
usercpu_time_millis
1127.2700000008626
usercpu_time_millis
1116.2420000000566
usercpu_time_millis
1093.698000000586
usercpu_time_millis
1123.7199999995937
usercpu_time_millis
1192.4079999989772
usercpu_time_millis
1098.3140000025742
usercpu_time_millis
1105.4799999983516
usercpu_time_millis
1095.9919999986596
usercpu_time_millis
1089.4680000019434
usercpu_time_millis_testing
2.0760000006703194
usercpu_time_millis_testing
2.0100000001548324
usercpu_time_millis_testing
1.9160000010742806
usercpu_time_millis_testing
1.445999998395564
usercpu_time_millis_testing
5.425999999715714
usercpu_time_millis_testing
1.883999997517094
usercpu_time_millis_testing
1.9380000012461096
usercpu_time_millis_testing
2.153999997972278
usercpu_time_millis_testing
1.7759999973350205
usercpu_time_millis_testing
1.8760000020847656
usercpu_time_millis_training
854.1340000010678
usercpu_time_millis_training
1125.2600000007078
usercpu_time_millis_training
1114.3259999989823
usercpu_time_millis_training
1092.2520000021905
usercpu_time_millis_training
1118.293999999878
usercpu_time_millis_training
1190.52400000146
usercpu_time_millis_training
1096.376000001328
usercpu_time_millis_training
1103.3260000003793
usercpu_time_millis_training
1094.2160000013246
usercpu_time_millis_training
1087.5919999998587
wall_clock_time_millis
445.2090263366699
wall_clock_time_millis
428.7071228027344
wall_clock_time_millis
433.5780143737793
wall_clock_time_millis
433.7952136993408
wall_clock_time_millis
436.2759590148926
wall_clock_time_millis
483.4620952606201
wall_clock_time_millis
436.19489669799805
wall_clock_time_millis
461.5952968597412
wall_clock_time_millis
443.5403347015381
wall_clock_time_millis
441.087007522583
wall_clock_time_millis_testing
1.0390281677246094
wall_clock_time_millis_testing
1.0170936584472656
wall_clock_time_millis_testing
0.9758472442626953
wall_clock_time_millis_testing
0.6899833679199219
wall_clock_time_millis_testing
3.7980079650878906
wall_clock_time_millis_testing
0.9601116180419922
wall_clock_time_millis_testing
0.9970664978027344
wall_clock_time_millis_testing
1.0771751403808594
wall_clock_time_millis_testing
0.8802413940429688
wall_clock_time_millis_testing
0.9639263153076172
wall_clock_time_millis_training
444.1699981689453
wall_clock_time_millis_training
427.6900291442871
wall_clock_time_millis_training
432.6021671295166
wall_clock_time_millis_training
433.1052303314209
wall_clock_time_millis_training
432.4779510498047
wall_clock_time_millis_training
482.5019836425781
wall_clock_time_millis_training
435.1978302001953
wall_clock_time_millis_training
460.51812171936035
wall_clock_time_millis_training
442.6600933074951
wall_clock_time_millis_training
440.1230812072754
weighted_recall
0.8163452708907254 [0.979499,0.137441]
weighted_recall
0.8154269972451791 [0.981777,0.123223]
weighted_recall
0.8218549127640037 [0.98861,0.127962]
weighted_recall
0.8117539026629935 [0.981777,0.104265]
weighted_recall
0.8099173553719008 [0.977221,0.113744]
weighted_recall
0.8069852941176471 [0.980638,0.080952]
weighted_recall
0.8152573529411765 [0.985194,0.104762]
weighted_recall
0.8170955882352942 [0.979499,0.138095]
weighted_recall
0.8115808823529411 [0.980638,0.104762]
weighted_recall
0.796875 [0.970353,0.075829]