10500174
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)
8275614
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
1.0
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.
1068
pc1
https://www.openml.org/data/download/53951/pc1.arff
-1
21925297
description
https://api.openml.org/data/download/21925297/description.xml
-1
21925298
predictions
https://api.openml.org/data/download/21925298/predictions.arff
area_under_roc_curve
0.835069968790899 [0.83507,0.83507]
average_cost
0
f_measure
0.9093809517536666 [0.963242,0.1875]
kappa
0.1645386235005503
kb_relative_information_score
-0.20797854789597012
mean_absolute_error
0.11670393342329011
mean_prior_absolute_error
0.12988972477049396
weighted_recall
0.9296663660955816 [0.99031,0.116883]
number_of_instances
1109 [1032,77]
precision
0.9054030954322629 [0.937615,0.473684]
predictive_accuracy
0.9296663660955816
prior_entropy
0.36380676688852276
relative_absolute_error
0.8984847233258657
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.24658225069278203
root_relative_squared_error
0.9700768219621575
total_cost
0
unweighted_recall
0.5535965972012483 [0.99031,0.116883]
area_under_roc_curve
0.8214285714285714 [0.821429,0.821429]
area_under_roc_curve
0.8241758241758241 [0.824176,0.824176]
area_under_roc_curve
0.8810679611650485 [0.881068,0.881068]
area_under_roc_curve
0.7233009708737864 [0.723301,0.723301]
area_under_roc_curve
0.8106796116504854 [0.81068,0.81068]
area_under_roc_curve
0.8713592233009708 [0.871359,0.871359]
area_under_roc_curve
0.9271844660194175 [0.927184,0.927184]
area_under_roc_curve
0.8300970873786409 [0.830097,0.830097]
area_under_roc_curve
0.7864077669902912 [0.786408,0.786408]
area_under_roc_curve
0.8668515950069348 [0.866852,0.866852]
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
0.8973480522776298 [0.957746,0]
f_measure
0.901452076807527 [0.957346,0.181818]
f_measure
0.8887197056211139 [0.957746,0]
f_measure
0.9134486599275331 [0.967136,0.222222]
f_measure
0.9233516152947432 [0.966825,0.363636]
f_measure
0.901452076807527 [0.957346,0.181818]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.9350649350649349 [0.971429,0.4]
kappa
0.23798627002288333
kappa
-0.028836251287332113
kappa
0.14833759590792903
kappa
-0.016276703967446498
kappa
0.20956256358087416
kappa
0
kappa
0.3375959079283886
kappa
0.14833759590792903
kappa
0.17625231910946135
kappa
0.3761814744801507
kb_relative_information_score
-0.03266198896281516
kb_relative_information_score
-0.363868659316473
kb_relative_information_score
-0.17114325902212513
kb_relative_information_score
-0.4000791257356132
kb_relative_information_score
-0.16807383793350217
kb_relative_information_score
-0.06797664176351648
kb_relative_information_score
0.052736405289727804
kb_relative_information_score
-0.3510583836098478
kb_relative_information_score
-0.36210645408100306
kb_relative_information_score
-0.2144011819631858
mean_absolute_error
0.10048387426801349
mean_absolute_error
0.11930328966622333
mean_absolute_error
0.12268342818981479
mean_absolute_error
0.12927378921118277
mean_absolute_error
0.11429245085146734
mean_absolute_error
0.11108910227175509
mean_absolute_error
0.10310213104658461
mean_absolute_error
0.12901226629657694
mean_absolute_error
0.12701174509226912
mean_absolute_error
0.11073346937461079
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
0.8767666749318126 [0.93578,0]
precision
0.8918084751418085 [0.935185,0.333333]
precision
0.8604422604422604 [0.927273,0]
precision
0.940950040950041 [0.936364,1]
precision
0.9244244244244243 [0.944444,0.666667]
precision
0.8918084751418085 [0.935185,0.333333]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.9350325686774285 [0.953271,0.666667]
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9369369369369369
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9369369369369369
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9454545454545454
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
0.8076498636906535
relative_absolute_error
0.9589129234783509
relative_absolute_error
0.928300591961968
relative_absolute_error
0.9781674413616562
relative_absolute_error
0.8648091380202362
relative_absolute_error
0.8405705719263169
relative_absolute_error
0.7801360843536547
relative_absolute_error
0.9761885931991761
relative_absolute_error
0.9610513815513392
relative_absolute_error
0.8865206218323739
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
0.2152936873112057
root_mean_squared_error
0.24174745058587316
root_mean_squared_error
0.26129768286011773
root_mean_squared_error
0.2680254521580758
root_mean_squared_error
0.2505400544919174
root_mean_squared_error
0.2440048977469328
root_mean_squared_error
0.2242755825310748
root_mean_squared_error
0.26829018636877633
root_mean_squared_error
0.2588652845567436
root_mean_squared_error
0.22679783936875025
root_relative_squared_error
0.8853216877105068
root_relative_squared_error
0.9941037455642013
root_relative_squared_error
1.0103774329067536
root_relative_squared_error
1.0363921537341816
root_relative_squared_error
0.9687801833029528
root_relative_squared_error
0.9435102504686245
root_relative_squared_error
0.8672215721971138
root_relative_squared_error
1.0374158194218461
root_relative_squared_error
1.0009719137813295
root_relative_squared_error
0.9287668133667197
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
0.49038461538461536 [0.980769,0]
unweighted_recall
0.5527912621359223 [0.980583,0.125]
unweighted_recall
0.49514563106796117 [0.990291,0]
unweighted_recall
0.5625 [1,0.125]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.6201456310679612 [0.990291,0.25]
unweighted_recall
0.5527912621359223 [0.980583,0.125]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.638002773925104 [0.990291,0.285714]
usercpu_time_millis
12.951648997841403
usercpu_time_millis
12.171964001026936
usercpu_time_millis
13.54198600165546
usercpu_time_millis
14.800258984905668
usercpu_time_millis
12.151543007348664
usercpu_time_millis
13.31149399629794
usercpu_time_millis
12.08001800114289
usercpu_time_millis
12.185678002424538
usercpu_time_millis
12.193382004625164
usercpu_time_millis
10.998874000506476
usercpu_time_millis_testing
0.7015379960648715
usercpu_time_millis_testing
0.7063529919832945
usercpu_time_millis_testing
0.7003130012890324
usercpu_time_millis_testing
0.6949959933990613
usercpu_time_millis_testing
0.6234840111574158
usercpu_time_millis_testing
0.7039249903755262
usercpu_time_millis_testing
0.6876880070194602
usercpu_time_millis_testing
0.6569809920620173
usercpu_time_millis_testing
0.6411030044546351
usercpu_time_millis_testing
0.6213140004547313
usercpu_time_millis_training
12.250111001776531
usercpu_time_millis_training
11.465611009043641
usercpu_time_millis_training
12.841673000366427
usercpu_time_millis_training
14.105262991506606
usercpu_time_millis_training
11.528058996191248
usercpu_time_millis_training
12.607569005922414
usercpu_time_millis_training
11.392329994123429
usercpu_time_millis_training
11.52869701036252
usercpu_time_millis_training
11.552279000170529
usercpu_time_millis_training
10.377560000051744
wall_clock_time_millis
12.961387634277344
wall_clock_time_millis
12.183427810668945
wall_clock_time_millis
13.550519943237305
wall_clock_time_millis
14.807462692260742
wall_clock_time_millis
12.161493301391602
wall_clock_time_millis
13.318538665771484
wall_clock_time_millis
12.092113494873047
wall_clock_time_millis
12.19630241394043
wall_clock_time_millis
12.199640274047852
wall_clock_time_millis
11.007547378540039
wall_clock_time_millis_testing
0.7085800170898438
wall_clock_time_millis_testing
0.7112026214599609
wall_clock_time_millis_testing
0.7054805755615234
wall_clock_time_millis_testing
0.7011890411376953
wall_clock_time_millis_testing
0.629425048828125
wall_clock_time_millis_testing
0.7085800170898438
wall_clock_time_millis_testing
0.6916522979736328
wall_clock_time_millis_testing
0.66375732421875
wall_clock_time_millis_testing
0.6470680236816406
wall_clock_time_millis_testing
0.6268024444580078
wall_clock_time_millis_training
12.2528076171875
wall_clock_time_millis_training
11.472225189208984
wall_clock_time_millis_training
12.845039367675781
wall_clock_time_millis_training
14.106273651123047
wall_clock_time_millis_training
11.532068252563477
wall_clock_time_millis_training
12.60995864868164
wall_clock_time_millis_training
11.400461196899414
wall_clock_time_millis_training
11.53254508972168
wall_clock_time_millis_training
11.552572250366211
wall_clock_time_millis_training
10.380744934082031
weighted_recall
0.9459459459459459 [1,0.142857]
weighted_recall
0.918918918918919 [0.980769,0]
weighted_recall
0.918918918918919 [0.980583,0.125]
weighted_recall
0.918918918918919 [0.990291,0]
weighted_recall
0.9369369369369369 [1,0.125]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9369369369369369 [0.990291,0.25]
weighted_recall
0.918918918918919 [0.980583,0.125]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9454545454545454 [0.990291,0.285714]