10558131
8323
Heinrich Peters
3918
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275909
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
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
10000
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"lbfgs"
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.
1068
pc1
https://www.openml.org/data/download/53951/pc1.arff
-1
22041222
description
https://api.openml.org/data/download/22041222/description.xml
-1
22041223
predictions
https://api.openml.org/data/download/22041223/predictions.arff
area_under_roc_curve
0.8343149098963052 [0.834315,0.834315]
average_cost
0
f_measure
0.9087918731967033 [0.962753,0.185567]
kappa
0.1615610615065126
kb_relative_information_score
-0.17955304393524193
mean_absolute_error
0.114243146650301
mean_prior_absolute_error
0.12988972477049396
weighted_recall
0.9287646528403968 [0.989341,0.116883]
number_of_instances
1109 [1032,77]
precision
0.9037053459424145 [0.937557,0.45]
predictive_accuracy
0.9287646528403968
prior_entropy
0.36380676688852276
relative_absolute_error
0.8795395236394613
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.24721351023801305
root_relative_squared_error
0.9725602539681131
total_cost
0
unweighted_recall
0.5531121010772173 [0.989341,0.116883]
area_under_roc_curve
0.8186813186813187 [0.818681,0.818681]
area_under_roc_curve
0.8228021978021978 [0.822802,0.822802]
area_under_roc_curve
0.8822815533980582 [0.882282,0.882282]
area_under_roc_curve
0.7196601941747572 [0.71966,0.71966]
area_under_roc_curve
0.8094660194174758 [0.809466,0.809466]
area_under_roc_curve
0.8713592233009708 [0.871359,0.871359]
area_under_roc_curve
0.9259708737864077 [0.925971,0.925971]
area_under_roc_curve
0.8276699029126213 [0.82767,0.82767]
area_under_roc_curve
0.7888349514563107 [0.788835,0.788835]
area_under_roc_curve
0.8682385575589457 [0.868239,0.868239]
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
0.9073261941186469 [0.962264,0.2]
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
0.17625231910946135
kappa
0
kappa
0.3375959079283886
kappa
0.14833759590792903
kappa
0.17625231910946135
kappa
0.3761814744801507
kb_relative_information_score
-0.02220978403046963
kb_relative_information_score
-0.32201408208644194
kb_relative_information_score
-0.15492201527519922
kb_relative_information_score
-0.36406841714632626
kb_relative_information_score
-0.1410503811336281
kb_relative_information_score
-0.042158846821064216
kb_relative_information_score
0.0757102010808289
kb_relative_information_score
-0.3246252012780132
kb_relative_information_score
-0.32171702046619693
kb_relative_information_score
-0.17689155073586485
mean_absolute_error
0.09923180200987883
mean_absolute_error
0.1163692579622991
mean_absolute_error
0.12051826577261206
mean_absolute_error
0.12659006761709551
mean_absolute_error
0.11171789966179592
mean_absolute_error
0.10854821263895291
mean_absolute_error
0.10058075891172284
mean_absolute_error
0.1265070367101592
mean_absolute_error
0.12434319267564124
mean_absolute_error
0.10796844368733174
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
0.9043722621704273 [0.93578,0.5]
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
0.927927927927928
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
0.7975861992869892
relative_absolute_error
0.935330330520022
relative_absolute_error
0.9119176005242544
relative_absolute_error
0.9578607024547701
relative_absolute_error
0.8453284516009535
relative_absolute_error
0.8213445901858091
relative_absolute_error
0.7610577843755416
relative_absolute_error
0.957232437976043
relative_absolute_error
0.9408594222575014
relative_absolute_error
0.8643841141846588
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
0.21955970356866855
root_mean_squared_error
0.24128714093243597
root_mean_squared_error
0.2625986549698371
root_mean_squared_error
0.26846094030003115
root_mean_squared_error
0.25090213605275014
root_mean_squared_error
0.2442585916185509
root_mean_squared_error
0.22470646169805855
root_mean_squared_error
0.26852701624291314
root_mean_squared_error
0.2589192498948081
root_mean_squared_error
0.22660288596099862
root_relative_squared_error
0.9028642211680631
root_relative_squared_error
0.9922108794781588
root_relative_squared_error
1.0154079898030626
root_relative_squared_error
1.038076085203125
root_relative_squared_error
0.970180268577084
root_relative_squared_error
0.944491225730035
root_relative_squared_error
0.8688876818306351
root_relative_squared_error
1.038331585522972
root_relative_squared_error
1.0011805852059767
root_relative_squared_error
0.9279684536655143
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
0.5576456310679612 [0.990291,0.125]
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
50.449999998818384
usercpu_time_millis
60.89399999473244
usercpu_time_millis
67.01199999952223
usercpu_time_millis
53.92000000210828
usercpu_time_millis
63.00800000099116
usercpu_time_millis
56.576000002678484
usercpu_time_millis
59.664000000339
usercpu_time_millis
55.329999999230495
usercpu_time_millis
51.79599999974016
usercpu_time_millis
55.598000002646586
usercpu_time_millis_testing
1.1639999975159299
usercpu_time_millis_testing
1.7099999968195334
usercpu_time_millis_testing
1.189999999041902
usercpu_time_millis_testing
1.172000000224216
usercpu_time_millis_testing
1.2720000013359822
usercpu_time_millis_testing
1.158000002760673
usercpu_time_millis_testing
1.1679999988700729
usercpu_time_millis_testing
1.1180000001331791
usercpu_time_millis_testing
1.1100000010628719
usercpu_time_millis_testing
1.150000000052387
usercpu_time_millis_training
49.286000001302455
usercpu_time_millis_training
59.183999997912906
usercpu_time_millis_training
65.82200000048033
usercpu_time_millis_training
52.748000001884066
usercpu_time_millis_training
61.73599999965518
usercpu_time_millis_training
55.41799999991781
usercpu_time_millis_training
58.49600000146893
usercpu_time_millis_training
54.211999999097316
usercpu_time_millis_training
50.68599999867729
usercpu_time_millis_training
54.4480000025942
wall_clock_time_millis
14.822959899902344
wall_clock_time_millis
18.537044525146484
wall_clock_time_millis
26.548147201538086
wall_clock_time_millis
14.456033706665039
wall_clock_time_millis
16.390085220336914
wall_clock_time_millis
18.572092056274414
wall_clock_time_millis
20.95198631286621
wall_clock_time_millis
16.43204689025879
wall_clock_time_millis
13.38338851928711
wall_clock_time_millis
14.528989791870117
wall_clock_time_millis_testing
0.2968311309814453
wall_clock_time_millis_testing
0.5431175231933594
wall_clock_time_millis_testing
0.2951622009277344
wall_clock_time_millis_testing
0.2989768981933594
wall_clock_time_millis_testing
0.3330707550048828
wall_clock_time_millis_testing
0.2930164337158203
wall_clock_time_millis_testing
0.29587745666503906
wall_clock_time_millis_testing
0.28395652770996094
wall_clock_time_millis_testing
0.28014183044433594
wall_clock_time_millis_testing
0.28586387634277344
wall_clock_time_millis_training
14.526128768920898
wall_clock_time_millis_training
17.993927001953125
wall_clock_time_millis_training
26.25298500061035
wall_clock_time_millis_training
14.15705680847168
wall_clock_time_millis_training
16.05701446533203
wall_clock_time_millis_training
18.279075622558594
wall_clock_time_millis_training
20.656108856201172
wall_clock_time_millis_training
16.148090362548828
wall_clock_time_millis_training
13.103246688842773
wall_clock_time_millis_training
14.243125915527344
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
0.9279279279279279 [0.990291,0.125]
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]