10500238
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)
8275622
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
100
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
10000
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"lbfgs"
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
21925425
description
https://api.openml.org/data/download/21925425/description.xml
-1
21925426
predictions
https://api.openml.org/data/download/21925426/predictions.arff
area_under_roc_curve
0.8101781938991242 [0.810178,0.810178]
average_cost
0
f_measure
0.9041737401940048 [0.960868,0.14433]
kappa
0.11910845702583002
kb_relative_information_score
-0.24320519111011213
mean_absolute_error
0.11562508473261228
mean_prior_absolute_error
0.12988972477049396
weighted_recall
0.9251577998196574 [0.987403,0.090909]
number_of_instances
1109 [1032,77]
precision
0.8950531215921822 [0.935721,0.35]
predictive_accuracy
0.9251577998196574
prior_entropy
0.36380676688852276
relative_absolute_error
0.890178841605167
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.2532205072153791
root_relative_squared_error
0.9961923220547968
total_cost
0
unweighted_recall
0.5391560958421423 [0.987403,0.090909]
area_under_roc_curve
0.6826923076923077 [0.682692,0.682692]
area_under_roc_curve
0.8282967032967034 [0.828297,0.828297]
area_under_roc_curve
0.8628640776699029 [0.862864,0.862864]
area_under_roc_curve
0.6601941747572815 [0.660194,0.660194]
area_under_roc_curve
0.7657766990291263 [0.765777,0.765777]
area_under_roc_curve
0.8592233009708737 [0.859223,0.859223]
area_under_roc_curve
0.9053398058252428 [0.90534,0.90534]
area_under_roc_curve
0.8446601941747572 [0.84466,0.84466]
area_under_roc_curve
0.7900485436893203 [0.790049,0.790049]
area_under_roc_curve
0.8640776699029126 [0.864078,0.864078]
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
0.9233516152947432 [0.966825,0.363636]
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
0.3375959079283886
kappa
-0.0409207161125317
kappa
0.17625231910946135
kappa
0.33275563258232294
kb_relative_information_score
-0.09513169718423803
kb_relative_information_score
-0.4380083235910828
kb_relative_information_score
-0.20022248688092134
kb_relative_information_score
-0.4457700253106001
kb_relative_information_score
-0.20727543095980017
kb_relative_information_score
-0.06961414995618165
kb_relative_information_score
0.0711024750438242
kb_relative_information_score
-0.35490859649693896
kb_relative_information_score
-0.4161960481081855
kb_relative_information_score
-0.28399613275567753
mean_absolute_error
0.100262568425339
mean_absolute_error
0.12027354360099031
mean_absolute_error
0.12270665378445449
mean_absolute_error
0.12861622956368352
mean_absolute_error
0.1120436635137208
mean_absolute_error
0.10747143820766433
mean_absolute_error
0.09961962113192684
mean_absolute_error
0.12828066178656508
mean_absolute_error
0.1261912448859266
mean_absolute_error
0.11074122367760904
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
0.9244244244244243 [0.944444,0.666667]
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
0.9369369369369369
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
0.8058710943610271
relative_absolute_error
0.9667114430305505
relative_absolute_error
0.9284763315347108
relative_absolute_error
0.973191928213463
relative_absolute_error
0.8477933874202705
relative_absolute_error
0.8131970322252655
relative_absolute_error
0.7537852066272153
relative_absolute_error
0.9706528096810036
relative_absolute_error
0.954842956839941
relative_absolute_error
0.886582701974491
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
0.22932937594513822
root_mean_squared_error
0.2567693610964828
root_mean_squared_error
0.27031287627180606
root_mean_squared_error
0.26929474440059836
root_mean_squared_error
0.25665148600558196
root_mean_squared_error
0.24452485273949975
root_mean_squared_error
0.22693674155353194
root_mean_squared_error
0.2771116819788742
root_mean_squared_error
0.2636471181079483
root_mean_squared_error
0.2313792565855049
root_relative_squared_error
0.9430386589081361
root_relative_squared_error
1.0558762170750133
root_relative_squared_error
1.0452370913497862
root_relative_squared_error
1.0413002119441541
root_relative_squared_error
0.9924116691109133
root_relative_squared_error
0.9455207956248863
root_relative_squared_error
0.8775116558757595
root_relative_squared_error
1.0715264934675108
root_relative_squared_error
1.0194621531710144
root_relative_squared_error
0.9475283160377849
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
0.6201456310679612 [0.990291,0.25]
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
85.20926198980305
usercpu_time_millis
46.02844199689571
usercpu_time_millis
73.92894099757541
usercpu_time_millis
64.42992300435435
usercpu_time_millis
76.35265700810123
usercpu_time_millis
111.5029369975673
usercpu_time_millis
79.14723400608636
usercpu_time_millis
74.07202399917878
usercpu_time_millis
77.765244001057
usercpu_time_millis
80.62393699947279
usercpu_time_millis_testing
0.474184998893179
usercpu_time_millis_testing
0.465631004772149
usercpu_time_millis_testing
0.5073560023447499
usercpu_time_millis_testing
0.4918589984299615
usercpu_time_millis_testing
0.48979900020640343
usercpu_time_millis_testing
0.4965069965692237
usercpu_time_millis_testing
0.47267699846997857
usercpu_time_millis_testing
0.48455799696967006
usercpu_time_millis_testing
0.4701240104623139
usercpu_time_millis_testing
0.4778970032930374
usercpu_time_millis_training
84.73507699090987
usercpu_time_millis_training
45.56281099212356
usercpu_time_millis_training
73.42158499523066
usercpu_time_millis_training
63.93806400592439
usercpu_time_millis_training
75.86285800789483
usercpu_time_millis_training
111.00643000099808
usercpu_time_millis_training
78.67455700761639
usercpu_time_millis_training
73.58746600220911
usercpu_time_millis_training
77.29511999059469
usercpu_time_millis_training
80.14603999617975
wall_clock_time_millis
85.24465560913086
wall_clock_time_millis
46.0357666015625
wall_clock_time_millis
73.95100593566895
wall_clock_time_millis
64.43619728088379
wall_clock_time_millis
76.35855674743652
wall_clock_time_millis
111.50765419006348
wall_clock_time_millis
79.1480541229248
wall_clock_time_millis
74.11360740661621
wall_clock_time_millis
77.81004905700684
wall_clock_time_millis
80.80172538757324
wall_clock_time_millis_testing
0.4787445068359375
wall_clock_time_millis_testing
0.46896934509277344
wall_clock_time_millis_testing
0.5099773406982422
wall_clock_time_millis_testing
0.49567222595214844
wall_clock_time_millis_testing
0.4928112030029297
wall_clock_time_millis_testing
0.4990100860595703
wall_clock_time_millis_testing
0.47516822814941406
wall_clock_time_millis_testing
0.48804283142089844
wall_clock_time_millis_testing
0.4730224609375
wall_clock_time_millis_testing
0.48065185546875
wall_clock_time_millis_training
84.76591110229492
wall_clock_time_millis_training
45.56679725646973
wall_clock_time_millis_training
73.4410285949707
wall_clock_time_millis_training
63.94052505493164
wall_clock_time_millis_training
75.8657455444336
wall_clock_time_millis_training
111.0086441040039
wall_clock_time_millis_training
78.67288589477539
wall_clock_time_millis_training
73.62556457519531
wall_clock_time_millis_training
77.33702659606934
wall_clock_time_millis_training
80.32107353210449
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
0.9369369369369369 [0.990291,0.25]
weighted_recall
0.9009009009009009 [0.970874,0]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9363636363636364 [0.980583,0.285714]