10500231
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)
8275627
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
0.1
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
21925411
description
https://api.openml.org/data/download/21925411/description.xml
-1
21925412
predictions
https://api.openml.org/data/download/21925412/predictions.arff
area_under_roc_curve
0.8295957918050941 [0.829596,0.829596]
average_cost
0
f_measure
0.9093773568364701 [0.964252,0.173913]
kappa
0.1547764696443977
kb_relative_information_score
-0.16115421700578114
mean_absolute_error
0.11541395524554433
mean_prior_absolute_error
0.12988972477049396
weighted_recall
0.9314697926059513 [0.993217,0.103896]
number_of_instances
1109 [1032,77]
precision
0.9089063003985453 [0.936929,0.533333]
predictive_accuracy
0.9314697926059513
prior_entropy
0.36380676688852276
relative_absolute_error
0.8885533898041027
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.2437584000449438
root_relative_squared_error
0.9589675387333187
total_cost
0
unweighted_recall
0.5485565790798349 [0.993217,0.103896]
area_under_roc_curve
0.8406593406593407 [0.840659,0.840659]
area_under_roc_curve
0.8131868131868132 [0.813187,0.813187]
area_under_roc_curve
0.8640776699029126 [0.864078,0.864078]
area_under_roc_curve
0.7706310679611651 [0.770631,0.770631]
area_under_roc_curve
0.7694174757281552 [0.769417,0.769417]
area_under_roc_curve
0.866504854368932 [0.866505,0.866505]
area_under_roc_curve
0.9223300970873787 [0.92233,0.92233]
area_under_roc_curve
0.8046116504854369 [0.804612,0.804612]
area_under_roc_curve
0.779126213592233 [0.779126,0.779126]
area_under_roc_curve
0.8571428571428571 [0.857143,0.857143]
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
0.9429711401542388 [0.976526,0.444444]
f_measure
0.8973480522776298 [0.957746,0]
f_measure
0.901452076807527 [0.957346,0.181818]
f_measure
0.9304946455889852 [0.971698,0.4]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.9194408540380105 [0.966825,0.222222]
kappa
0.4284243048403709
kappa
-0.028836251287332113
kappa
0.14833759590792903
kappa
0
kappa
0
kappa
0
kappa
0.3821892393320963
kappa
0.17625231910946135
kappa
0.17625231910946135
kappa
0.19958419958419998
kb_relative_information_score
0.002039133663146807
kb_relative_information_score
-0.35987367977606466
kb_relative_information_score
-0.15093501557642008
kb_relative_information_score
-0.2668634445233559
kb_relative_information_score
-0.17971504057228566
kb_relative_information_score
-0.02502485549424878
kb_relative_information_score
0.02625319245551523
kb_relative_information_score
-0.28000395614828855
kb_relative_information_score
-0.22733531574346455
kb_relative_information_score
-0.15247374780985987
mean_absolute_error
0.09825502725888076
mean_absolute_error
0.11775700044689832
mean_absolute_error
0.1226129224241181
mean_absolute_error
0.12432767350269654
mean_absolute_error
0.11758047557613885
mean_absolute_error
0.11009950112422782
mean_absolute_error
0.10418528518407841
mean_absolute_error
0.12544153963472562
mean_absolute_error
0.12255113357681896
mean_absolute_error
0.11129185771305475
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
0.9570212414249112 [0.954128,1]
precision
0.8767666749318126 [0.93578,0]
precision
0.8918084751418085 [0.935185,0.333333]
precision
0.9489213984626829 [0.944954,1]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.9161616161616161 [0.944444,0.5]
predictive_accuracy
0.9549549549549549
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.927927927927928
predictive_accuracy
0.927927927927928
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.927927927927928
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
0.7897352679783901
relative_absolute_error
0.9464844588484624
relative_absolute_error
0.9277671006420833
relative_absolute_error
0.9407419943567337
relative_absolute_error
0.8896884175067509
relative_absolute_error
0.8330826222935884
relative_absolute_error
0.7883319152157159
relative_absolute_error
0.9491702116390971
relative_absolute_error
0.9272995670528222
relative_absolute_error
0.8909910207083148
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
0.211892495113521
root_mean_squared_error
0.23809477728031433
root_mean_squared_error
0.260389123676115
root_mean_squared_error
0.25870775416908026
root_mean_squared_error
0.25159012214040977
root_mean_squared_error
0.2419508370842235
root_mean_squared_error
0.22223412555081506
root_mean_squared_error
0.2654933675553088
root_mean_squared_error
0.25178989757368514
root_mean_squared_error
0.22954418314546043
root_relative_squared_error
0.8713354475457897
root_relative_squared_error
0.9790833753159179
root_relative_squared_error
1.0068642456257628
root_relative_squared_error
1.000362780370922
root_relative_squared_error
0.9728405509397762
root_relative_squared_error
0.9355676751013029
root_relative_squared_error
0.8593277323416388
root_relative_squared_error
1.0266011708489027
root_relative_squared_error
0.9736130361268668
root_relative_squared_error
0.940013450305608
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
0.6428571428571428 [1,0.285714]
unweighted_recall
0.49038461538461536 [0.980769,0]
unweighted_recall
0.5527912621359223 [0.980583,0.125]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.625 [1,0.25]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.5665742024965326 [0.990291,0.142857]
usercpu_time_millis
13.458861983963288
usercpu_time_millis
14.029441008460708
usercpu_time_millis
13.390756997978315
usercpu_time_millis
13.253103999886662
usercpu_time_millis
13.342428996111266
usercpu_time_millis
13.93395998456981
usercpu_time_millis
13.569344999268651
usercpu_time_millis
13.606755004730076
usercpu_time_millis
13.783017013338394
usercpu_time_millis
13.144518015906215
usercpu_time_millis_testing
0.4699099954450503
usercpu_time_millis_testing
0.4791890096385032
usercpu_time_millis_testing
0.48297399189323187
usercpu_time_millis_testing
0.4790310049429536
usercpu_time_millis_testing
0.48718199832364917
usercpu_time_millis_testing
0.5010659951949492
usercpu_time_millis_testing
0.48114800301846117
usercpu_time_millis_testing
0.47340600576717407
usercpu_time_millis_testing
0.4765190096804872
usercpu_time_millis_testing
0.48374501056969166
usercpu_time_millis_training
12.988951988518238
usercpu_time_millis_training
13.550251998822205
usercpu_time_millis_training
12.907783006085083
usercpu_time_millis_training
12.774072994943708
usercpu_time_millis_training
12.855246997787617
usercpu_time_millis_training
13.432893989374861
usercpu_time_millis_training
13.08819699625019
usercpu_time_millis_training
13.133348998962902
usercpu_time_millis_training
13.306498003657907
usercpu_time_millis_training
12.660773005336523
wall_clock_time_millis
13.451576232910156
wall_clock_time_millis
14.036178588867188
wall_clock_time_millis
13.399839401245117
wall_clock_time_millis
13.252973556518555
wall_clock_time_millis
13.35000991821289
wall_clock_time_millis
13.938665390014648
wall_clock_time_millis
13.570308685302734
wall_clock_time_millis
13.607025146484375
wall_clock_time_millis
13.791561126708984
wall_clock_time_millis
13.14997673034668
wall_clock_time_millis_testing
0.47326087951660156
wall_clock_time_millis_testing
0.48160552978515625
wall_clock_time_millis_testing
0.4851818084716797
wall_clock_time_millis_testing
0.4818439483642578
wall_clock_time_millis_testing
0.4901885986328125
wall_clock_time_millis_testing
0.5037784576416016
wall_clock_time_millis_testing
0.4832744598388672
wall_clock_time_millis_testing
0.4763603210449219
wall_clock_time_millis_testing
0.47969818115234375
wall_clock_time_millis_testing
0.4863739013671875
wall_clock_time_millis_training
12.978315353393555
wall_clock_time_millis_training
13.554573059082031
wall_clock_time_millis_training
12.914657592773438
wall_clock_time_millis_training
12.771129608154297
wall_clock_time_millis_training
12.859821319580078
wall_clock_time_millis_training
13.434886932373047
wall_clock_time_millis_training
13.087034225463867
wall_clock_time_millis_training
13.130664825439453
wall_clock_time_millis_training
13.31186294555664
wall_clock_time_millis_training
12.663602828979492
weighted_recall
0.954954954954955 [1,0.285714]
weighted_recall
0.918918918918919 [0.980769,0]
weighted_recall
0.918918918918919 [0.980583,0.125]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9459459459459459 [1,0.25]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9363636363636364 [0.990291,0.142857]