10547036
8323
Heinrich Peters
3904
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275631
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
25.0
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
100
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"liblinear"
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.
1053
jm1
https://www.openml.org/data/download/53936/jm1.arff
-1
22019027
description
https://api.openml.org/data/download/22019027/description.xml
-1
22019028
predictions
https://api.openml.org/data/download/22019028/predictions.arff
area_under_roc_curve
0.713469843590966 [0.71347,0.71347]
average_cost
0
f_measure
0.7588469065368195 [0.894316,0.194136]
kappa
0.1389576000177966
kb_relative_information_score
0.05285143599641174
mean_absolute_error
0.2787981413446422
mean_prior_absolute_error
0.31212214303703906
weighted_recall
0.8131373449701425 [0.980294,0.116334]
number_of_instances
10885 [8779,2106]
precision
0.7765272515451899 [0.822203,0.586124]
predictive_accuracy
0.8131373449701423
prior_entropy
0.7086892261862012
relative_absolute_error
0.8932340994197187
root_mean_prior_squared_error
0.3950238150239175
root_mean_squared_error
0.37418377847648565
root_relative_squared_error
0.9472435945509513
total_cost
0
unweighted_recall
0.5483140830655734 [0.980294,0.116334]
area_under_roc_curve
0.7136452946701357 [0.713645,0.713645]
area_under_roc_curve
0.7439408824450227 [0.743941,0.743941]
area_under_roc_curve
0.7128814949961675 [0.712881,0.712881]
area_under_roc_curve
0.6955785984950718 [0.695579,0.695579]
area_under_roc_curve
0.7147734510790357 [0.714773,0.714773]
area_under_roc_curve
0.7269687601692157 [0.726969,0.726969]
area_under_roc_curve
0.7107414036229526 [0.710741,0.710741]
area_under_roc_curve
0.6909290595509274 [0.690929,0.690929]
area_under_roc_curve
0.7103915826011498 [0.710392,0.710392]
area_under_roc_curve
0.7198225315730599 [0.719823,0.719823]
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
0.7679357469227355 [0.895616,0.236641]
f_measure
0.763627251100408 [0.89605,0.212598]
f_measure
0.7691536266756134 [0.899948,0.2249]
f_measure
0.7565873141067407 [0.894191,0.184]
f_measure
0.7565360686334202 [0.892931,0.188976]
f_measure
0.7492459987943016 [0.891654,0.153846]
f_measure
0.7612437978950528 [0.896838,0.194332]
f_measure
0.7685652982972175 [0.896767,0.232558]
f_measure
0.7552428110439253 [0.893617,0.176707]
f_measure
0.7397601827936102 [0.885536,0.133858]
kappa
0.17436200700541293
kappa
0.1573164125976937
kappa
0.17618030377266003
kappa
0.13149746669168705
kappa
0.13203590497562476
kappa
0.10191314238771546
kappa
0.1448838054313658
kappa
0.17317612380250555
kappa
0.12372511118444805
kappa
0.0729882342005997
kb_relative_information_score
0.052939592624381276
kb_relative_information_score
0.07014132816406456
kb_relative_information_score
0.07138890464057789
kb_relative_information_score
0.05115459237324069
kb_relative_information_score
0.04372477444963391
kb_relative_information_score
0.04743205600702144
kb_relative_information_score
0.07518262714076925
kb_relative_information_score
0.04534102352390781
kb_relative_information_score
0.03770799454211025
kb_relative_information_score
0.03347606819854799
mean_absolute_error
0.2771084970290261
mean_absolute_error
0.27653348737382916
mean_absolute_error
0.2756139800535704
mean_absolute_error
0.27995189476409
mean_absolute_error
0.28055220487167787
mean_absolute_error
0.27957401950218047
mean_absolute_error
0.2751985028534703
mean_absolute_error
0.2789240850506442
mean_absolute_error
0.2817399015251548
mean_absolute_error
0.28278872888107554
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
0.7842062136828913 [0.82659,0.607843]
precision
0.786079846974264 [0.824092,0.627907]
precision
0.8086284889420658 [0.82588,0.736842]
precision
0.7761543506998053 [0.820952,0.589744]
precision
0.7702496406670972 [0.821224,0.55814]
precision
0.7594461573427683 [0.818268,0.513514]
precision
0.789368356505047 [0.823026,0.648649]
precision
0.7879489536199095 [0.826923,0.625]
precision
0.7712388495399627 [0.820782,0.564103]
precision
0.7330947806962999 [0.814354,0.395349]
predictive_accuracy
0.8163452708907255
predictive_accuracy
0.8163452708907255
predictive_accuracy
0.82277318640955
predictive_accuracy
0.8126721763085399
predictive_accuracy
0.8108356290174471
predictive_accuracy
0.807904411764706
predictive_accuracy
0.817095588235294
predictive_accuracy
0.8180147058823529
predictive_accuracy
0.8115808823529411
predictive_accuracy
0.7977941176470589
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
0.8873354422337062
relative_absolute_error
0.8854941906944961
relative_absolute_error
0.8825498153202055
relative_absolute_error
0.8964403510103753
relative_absolute_error
0.8983626177055681
relative_absolute_error
0.8965342817693505
relative_absolute_error
0.8825029326368157
relative_absolute_error
0.8944500805344046
relative_absolute_error
0.9034798037006161
relative_absolute_error
0.9052078507231609
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
0.37138181207213655
root_mean_squared_error
0.36932339236025064
root_mean_squared_error
0.3706044391388315
root_mean_squared_error
0.37739053222514707
root_mean_squared_error
0.3765738054781281
root_mean_squared_error
0.37641994223393044
root_mean_squared_error
0.3700595293351723
root_mean_squared_error
0.3752607182884037
root_mean_squared_error
0.3758146581811123
root_mean_squared_error
0.3788696641225697
root_relative_squared_error
0.9396366686663853
root_relative_squared_error
0.9344286412996117
root_relative_squared_error
0.9376698299854961
root_relative_squared_error
0.9548393888966014
root_relative_squared_error
0.9527729807558856
root_relative_squared_error
0.9537712747957954
root_relative_squared_error
0.9376552872031239
root_relative_squared_error
0.9508340380124908
root_relative_squared_error
0.9522376085951053
root_relative_squared_error
0.9582470290752694
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
0.5620701939997194 [0.977221,0.146919]
unweighted_recall
0.5548694253419555 [0.981777,0.127962]
unweighted_recall
0.5606559500804283 [0.98861,0.132701]
unweighted_recall
0.5453907523561735 [0.981777,0.109005]
unweighted_recall
0.5460519923566054 [0.97836,0.113744]
unweighted_recall
0.5349875257620132 [0.979499,0.090476]
unweighted_recall
0.5497396680767979 [0.985194,0.114286]
unweighted_recall
0.5611780019524895 [0.979499,0.142857]
unweighted_recall
0.5426998589868749 [0.980638,0.104762]
unweighted_recall
0.5254610990721276 [0.970353,0.080569]
usercpu_time_millis
260.4775539948605
usercpu_time_millis
245.63846801174805
usercpu_time_millis
179.14438294246793
usercpu_time_millis
181.25025898916647
usercpu_time_millis
177.0629419479519
usercpu_time_millis
193.30874300794676
usercpu_time_millis
182.65795102342963
usercpu_time_millis
167.13543300284073
usercpu_time_millis
193.46643995959312
usercpu_time_millis
179.3669960461557
usercpu_time_millis_testing
1.2658220366574824
usercpu_time_millis_testing
1.1931239860132337
usercpu_time_millis_testing
1.1472109472379088
usercpu_time_millis_testing
1.1960080009885132
usercpu_time_millis_testing
1.1286769877187908
usercpu_time_millis_testing
1.1263799970038235
usercpu_time_millis_testing
1.1627750354819
usercpu_time_millis_testing
1.2460110010579228
usercpu_time_millis_testing
1.1418379726819694
usercpu_time_millis_testing
1.0736460098996758
usercpu_time_millis_training
259.211731958203
usercpu_time_millis_training
244.4453440257348
usercpu_time_millis_training
177.99717199523002
usercpu_time_millis_training
180.05425098817796
usercpu_time_millis_training
175.93426496023312
usercpu_time_millis_training
192.18236301094294
usercpu_time_millis_training
181.49517598794773
usercpu_time_millis_training
165.8894220017828
usercpu_time_millis_training
192.32460198691115
usercpu_time_millis_training
178.29335003625602
wall_clock_time_millis
260.49041748046875
wall_clock_time_millis
245.652437210083
wall_clock_time_millis
179.1524887084961
wall_clock_time_millis
181.26296997070312
wall_clock_time_millis
177.07276344299316
wall_clock_time_millis
193.4070587158203
wall_clock_time_millis
182.67297744750977
wall_clock_time_millis
167.1602725982666
wall_clock_time_millis
193.47763061523438
wall_clock_time_millis
179.37850952148438
wall_clock_time_millis_testing
1.276254653930664
wall_clock_time_millis_testing
1.2021064758300781
wall_clock_time_millis_testing
1.1544227600097656
wall_clock_time_millis_testing
1.2018680572509766
wall_clock_time_millis_testing
1.1370182037353516
wall_clock_time_millis_testing
1.1360645294189453
wall_clock_time_millis_testing
1.1708736419677734
wall_clock_time_millis_testing
1.2514591217041016
wall_clock_time_millis_testing
1.150369644165039
wall_clock_time_millis_testing
1.0790824890136719
wall_clock_time_millis_training
259.2141628265381
wall_clock_time_millis_training
244.45033073425293
wall_clock_time_millis_training
177.99806594848633
wall_clock_time_millis_training
180.06110191345215
wall_clock_time_millis_training
175.9357452392578
wall_clock_time_millis_training
192.27099418640137
wall_clock_time_millis_training
181.502103805542
wall_clock_time_millis_training
165.9088134765625
wall_clock_time_millis_training
192.32726097106934
wall_clock_time_millis_training
178.2994270324707
weighted_recall
0.8163452708907254 [0.977221,0.146919]
weighted_recall
0.8163452708907254 [0.981777,0.127962]
weighted_recall
0.82277318640955 [0.98861,0.132701]
weighted_recall
0.8126721763085399 [0.981777,0.109005]
weighted_recall
0.8108356290174472 [0.97836,0.113744]
weighted_recall
0.8079044117647058 [0.979499,0.090476]
weighted_recall
0.8170955882352942 [0.985194,0.114286]
weighted_recall
0.8180147058823529 [0.979499,0.142857]
weighted_recall
0.8115808823529411 [0.980638,0.104762]
weighted_recall
0.7977941176470589 [0.970353,0.080569]