10500217
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)
8275621
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
100000.0
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
724
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
21925383
description
https://api.openml.org/data/download/21925383/description.xml
-1
21925384
predictions
https://api.openml.org/data/download/21925384/predictions.arff
area_under_roc_curve
0.8122420215443471 [0.812242,0.812242]
average_cost
0
f_measure
0.9024102557347178 [0.960415,0.125]
kappa
0.10027236376982258
kb_relative_information_score
-0.2509161965298992
mean_absolute_error
0.1155681515181996
mean_prior_absolute_error
0.12988972477049396
weighted_recall
0.9242560865644724 [0.987403,0.077922]
number_of_instances
1109 [1032,77]
precision
0.8918789640442383 [0.934862,0.315789]
predictive_accuracy
0.9242560865644726
prior_entropy
0.36380676688852276
relative_absolute_error
0.8897405219881743
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.253642786104478
root_relative_squared_error
0.9978536053043732
total_cost
0
unweighted_recall
0.5326625893486359 [0.987403,0.077922]
area_under_roc_curve
0.7046703296703297 [0.70467,0.70467]
area_under_roc_curve
0.8337912087912089 [0.833791,0.833791]
area_under_roc_curve
0.8628640776699029 [0.862864,0.862864]
area_under_roc_curve
0.6553398058252428 [0.65534,0.65534]
area_under_roc_curve
0.7633495145631067 [0.76335,0.76335]
area_under_roc_curve
0.8567961165048544 [0.856796,0.856796]
area_under_roc_curve
0.9065533980582524 [0.906553,0.906553]
area_under_roc_curve
0.8434466019417476 [0.843447,0.843447]
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
0.8841577426483087 [0.95283,0]
f_measure
0.8887197056211139 [0.957746,0]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.8795525383203108 [0.947867,0]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.9281426707264028 [0.966507,0.363636]
kappa
0.23798627002288333
kappa
-0.028836251287332113
kappa
-0.02968460111317236
kappa
-0.016276703967446498
kappa
0.17625231910946135
kappa
0
kappa
0.17625231910946135
kappa
-0.0409207161125317
kappa
0.17625231910946135
kappa
0.33275563258232294
kb_relative_information_score
-0.08863405327793815
kb_relative_information_score
-0.46453504576855964
kb_relative_information_score
-0.19951791625643114
kb_relative_information_score
-0.45157540690181286
kb_relative_information_score
-0.2195823100522174
kb_relative_information_score
-0.07359926839566229
kb_relative_information_score
0.06346468214441049
kb_relative_information_score
-0.35586935170749423
kb_relative_information_score
-0.4302058463624828
kb_relative_information_score
-0.29807870499103417
mean_absolute_error
0.09950944479334158
mean_absolute_error
0.12111012079258922
mean_absolute_error
0.12207973758228473
mean_absolute_error
0.1278988200853635
mean_absolute_error
0.11245162085191218
mean_absolute_error
0.10707567349492321
mean_absolute_error
0.09998083350877006
mean_absolute_error
0.12805892346442474
mean_absolute_error
0.12627710727084235
mean_absolute_error
0.11119987953590223
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
0.8598231258781718 [0.926606,0]
precision
0.8604422604422604 [0.927273,0]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.8591925258591925 [0.925926,0]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.9240137221269297 [0.95283,0.5]
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.927927927927928
predictive_accuracy
0.927927927927928
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9009009009009009
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
0.7998177827908287
relative_absolute_error
0.9734355214927265
relative_absolute_error
0.9237326861200724
relative_absolute_error
0.9677635533039094
relative_absolute_error
0.8508802512626498
relative_absolute_error
0.81020242551647
relative_absolute_error
0.7565183684584019
relative_absolute_error
0.9689749969662738
relative_absolute_error
0.9554926460760557
relative_absolute_error
0.8902546530024641
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
0.228551814594868
root_mean_squared_error
0.2591443094798932
root_mean_squared_error
0.26978696306743916
root_mean_squared_error
0.2685228212019292
root_mean_squared_error
0.2577105261534523
root_mean_squared_error
0.24437929615203896
root_mean_squared_error
0.22760224340858265
root_mean_squared_error
0.2776757031845918
root_mean_squared_error
0.26455030828224124
root_mean_squared_error
0.23225501217890807
root_relative_squared_error
0.9398412036760903
root_relative_squared_error
1.0656423803902755
root_relative_squared_error
1.0432035071727521
root_relative_squared_error
1.0383153642741116
root_relative_squared_error
0.9965067313182702
root_relative_squared_error
0.9449579621180157
root_relative_squared_error
0.8800849969346651
root_relative_squared_error
1.07370743243222
root_relative_squared_error
1.0229545797388275
root_relative_squared_error
0.9511146497261349
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
0.49029126213592233 [0.980583,0]
unweighted_recall
0.49514563106796117 [0.990291,0]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.4854368932038835 [0.970874,0]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.6331484049930651 [0.980583,0.285714]
usercpu_time_millis
62.922926983446814
usercpu_time_millis
27.21368000493385
usercpu_time_millis
68.3449060015846
usercpu_time_millis
25.712875998578966
usercpu_time_millis
53.21511800866574
usercpu_time_millis
66.37315501575358
usercpu_time_millis
47.03586001414806
usercpu_time_millis
44.97286600235384
usercpu_time_millis
47.799170002690516
usercpu_time_millis
49.72648399416357
usercpu_time_millis_testing
0.8976409881142899
usercpu_time_millis_testing
0.7561050006188452
usercpu_time_millis_testing
0.8537160028936341
usercpu_time_millis_testing
0.6831619975855574
usercpu_time_millis_testing
1.7868590075522661
usercpu_time_millis_testing
0.6418800039682537
usercpu_time_millis_testing
0.6593790021724999
usercpu_time_millis_testing
0.7238020043587312
usercpu_time_millis_testing
0.738075003027916
usercpu_time_millis_testing
0.6847519980510697
usercpu_time_millis_training
62.025285995332524
usercpu_time_millis_training
26.457575004315004
usercpu_time_millis_training
67.49118999869097
usercpu_time_millis_training
25.02971400099341
usercpu_time_millis_training
51.428259001113474
usercpu_time_millis_training
65.73127501178533
usercpu_time_millis_training
46.37648101197556
usercpu_time_millis_training
44.24906399799511
usercpu_time_millis_training
47.0610949996626
usercpu_time_millis_training
49.0417319961125
wall_clock_time_millis
62.93344497680664
wall_clock_time_millis
27.222633361816406
wall_clock_time_millis
68.35508346557617
wall_clock_time_millis
25.71702003479004
wall_clock_time_millis
53.243160247802734
wall_clock_time_millis
66.37859344482422
wall_clock_time_millis
47.042131423950195
wall_clock_time_millis
44.98004913330078
wall_clock_time_millis
47.806739807128906
wall_clock_time_millis
49.732208251953125
wall_clock_time_millis_testing
0.9014606475830078
wall_clock_time_millis_testing
0.7593631744384766
wall_clock_time_millis_testing
0.8575916290283203
wall_clock_time_millis_testing
0.6871223449707031
wall_clock_time_millis_testing
1.7943382263183594
wall_clock_time_millis_testing
0.6453990936279297
wall_clock_time_millis_testing
0.6635189056396484
wall_clock_time_millis_testing
0.7271766662597656
wall_clock_time_millis_testing
0.7426738739013672
wall_clock_time_millis_testing
0.6878376007080078
wall_clock_time_millis_training
62.03198432922363
wall_clock_time_millis_training
26.46327018737793
wall_clock_time_millis_training
67.49749183654785
wall_clock_time_millis_training
25.029897689819336
wall_clock_time_millis_training
51.448822021484375
wall_clock_time_millis_training
65.73319435119629
wall_clock_time_millis_training
46.37861251831055
wall_clock_time_millis_training
44.252872467041016
wall_clock_time_millis_training
47.06406593322754
wall_clock_time_millis_training
49.04437065124512
weighted_recall
0.9459459459459459 [1,0.142857]
weighted_recall
0.918918918918919 [0.980769,0]
weighted_recall
0.9099099099099099 [0.980583,0]
weighted_recall
0.918918918918919 [0.990291,0]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9009009009009009 [0.970874,0]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9363636363636364 [0.980583,0.285714]