10498486
8323
Heinrich Peters
37
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.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
21921921
description
https://api.openml.org/data/download/21921921/description.xml
-1
21921922
predictions
https://api.openml.org/data/download/21921922/predictions.arff
area_under_roc_curve
0.8303059701492538 [0.830306,0.830306]
average_cost
0
f_measure
0.7692333559042677 [0.836812,0.643154]
kappa
0.48293355044779857
kb_relative_information_score
0.32944284335881185
mean_absolute_error
0.31164553360618463
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7760416666666666 [0.882,0.578358]
number_of_instances
768 [500,268]
precision
0.7709981640181293 [0.796029,0.724299]
predictive_accuracy
0.7760416666666667
prior_entropy
0.9331348051619819
relative_absolute_error
0.685701805100883
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.39623738348086446
root_relative_squared_error
0.8313121364851505
total_cost
0
unweighted_recall
0.7301791044776119 [0.882,0.578358]
area_under_roc_curve
0.9155555555555555 [0.915556,0.915556]
area_under_roc_curve
0.737037037037037 [0.737037,0.737037]
area_under_roc_curve
0.8844444444444445 [0.884444,0.884444]
area_under_roc_curve
0.8325925925925926 [0.832593,0.832593]
area_under_roc_curve
0.8118518518518517 [0.811852,0.811852]
area_under_roc_curve
0.8918518518518519 [0.891852,0.891852]
area_under_roc_curve
0.8007407407407409 [0.800741,0.800741]
area_under_roc_curve
0.8725925925925925 [0.872593,0.872593]
area_under_roc_curve
0.8246153846153847 [0.824615,0.824615]
area_under_roc_curve
0.7684615384615384 [0.768462,0.768462]
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
0.8441558441558441 [0.88,0.777778]
f_measure
0.6617669465154054 [0.766355,0.468085]
f_measure
0.7878921078921078 [0.846154,0.68]
f_measure
0.7339118036792455 [0.828829,0.55814]
f_measure
0.7732131813764467 [0.838095,0.653061]
f_measure
0.8304118821585662 [0.871287,0.754717]
f_measure
0.7878921078921078 [0.846154,0.68]
f_measure
0.7937567020135827 [0.862385,0.666667]
f_measure
0.7781321991848308 [0.851852,0.636364]
f_measure
0.6884765104249988 [0.780952,0.510638]
kappa
0.6577777777777777
kappa
0.24182749113824342
kappa
0.5276073619631902
kappa
0.4021250510829588
kappa
0.4936170212765959
kappa
0.6260739633918567
kappa
0.5276073619631902
kappa
0.5367027677496993
kappa
0.4950166112956811
kappa
0.29516129032258054
kb_relative_information_score
0.4370523579870156
kb_relative_information_score
0.224585492740276
kb_relative_information_score
0.3544667432745405
kb_relative_information_score
0.3014633269889141
kb_relative_information_score
0.3211726319900911
kb_relative_information_score
0.3752014144651243
kb_relative_information_score
0.33383103635769407
kb_relative_information_score
0.36549819868320144
kb_relative_information_score
0.3293120205438409
kb_relative_information_score
0.250171227823016
mean_absolute_error
0.2728424053814896
mean_absolute_error
0.35117718221396343
mean_absolute_error
0.3048135552215098
mean_absolute_error
0.32034751020400626
mean_absolute_error
0.31858106289538385
mean_absolute_error
0.2969302363221496
mean_absolute_error
0.30961898638518237
mean_absolute_error
0.29892577019574385
mean_absolute_error
0.3072954804777279
mean_absolute_error
0.3361853515019278
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.45242652084757423
mean_prior_absolute_error
0.45242652084757423
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.8441558441558441 [0.88,0.777778]
precision
0.6599339257233994 [0.719298,0.55]
precision
0.788276136102223 [0.814815,0.73913]
precision
0.7526612731530764 [0.754098,0.75]
precision
0.7744982290436836 [0.8,0.727273]
precision
0.8299543593661242 [0.862745,0.769231]
precision
0.788276136102223 [0.814815,0.73913]
precision
0.8094871230464451 [0.79661,0.833333]
precision
0.7878604557370438 [0.793103,0.777778]
precision
0.6859193438140806 [0.745455,0.571429]
predictive_accuracy
0.8441558441558442
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7894736842105263
predictive_accuracy
0.6973684210526316
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
relative_absolute_error
0.5996525267846128
relative_absolute_error
0.7718165523766862
relative_absolute_error
0.6699186599356227
relative_absolute_error
0.7040591570595509
relative_absolute_error
0.7001768624779362
relative_absolute_error
0.6525927164451284
relative_absolute_error
0.6804800275337302
relative_absolute_error
0.656978497049547
relative_absolute_error
0.6792163286582794
relative_absolute_error
0.7430717166449909
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4744699650121647
root_mean_prior_squared_error
0.4744699650121647
root_mean_squared_error
0.3424389991328282
root_mean_squared_error
0.4554462469310508
root_mean_squared_error
0.3763499404149898
root_mean_squared_error
0.40555000320273576
root_mean_squared_error
0.3961882468405322
root_mean_squared_error
0.3590003252491047
root_mean_squared_error
0.40686009057046574
root_mean_squared_error
0.3781420518005646
root_mean_squared_error
0.397722382750074
root_mean_squared_error
0.4325329788694172
root_relative_squared_error
0.7176380401381391
root_relative_squared_error
0.9544635770562176
root_relative_squared_error
0.7887040738042707
root_relative_squared_error
0.8498976758296649
root_relative_squared_error
0.8302785538691532
root_relative_squared_error
0.7523450613777473
root_relative_squared_error
0.8526431824260756
root_relative_squared_error
0.7924597421297532
root_relative_squared_error
0.8382456468869993
root_relative_squared_error
0.9116129803038803
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
0.8288888888888889 [0.88,0.777778]
unweighted_recall
0.6137037037037036 [0.82,0.407407]
unweighted_recall
0.7548148148148148 [0.88,0.62963]
unweighted_recall
0.6822222222222223 [0.92,0.444444]
unweighted_recall
0.7362962962962962 [0.88,0.592593]
unweighted_recall
0.8103703703703704 [0.88,0.740741]
unweighted_recall
0.7548148148148148 [0.88,0.62963]
unweighted_recall
0.7477777777777778 [0.94,0.555556]
unweighted_recall
0.7292307692307692 [0.92,0.538462]
unweighted_recall
0.6407692307692308 [0.82,0.461538]
usercpu_time_millis
6.092223004088737
usercpu_time_millis
6.078544996853452
usercpu_time_millis
6.074008997529745
usercpu_time_millis
5.988580000121146
usercpu_time_millis
6.1391209965222515
usercpu_time_millis
5.429917000583373
usercpu_time_millis
5.590169006609358
usercpu_time_millis
5.65210499917157
usercpu_time_millis
5.597320006927475
usercpu_time_millis
5.545808999158908
usercpu_time_millis_testing
0.6907150018378161
usercpu_time_millis_testing
0.6844429954071529
usercpu_time_millis_testing
0.6544589996337891
usercpu_time_millis_testing
0.6569629986188374
usercpu_time_millis_testing
0.6750469983671792
usercpu_time_millis_testing
0.6350990006467327
usercpu_time_millis_testing
0.6317950028460473
usercpu_time_millis_testing
0.6546049989992753
usercpu_time_millis_testing
0.6824610027251765
usercpu_time_millis_testing
0.6466390041168779
usercpu_time_millis_training
5.401508002250921
usercpu_time_millis_training
5.394102001446299
usercpu_time_millis_training
5.419549997895956
usercpu_time_millis_training
5.331617001502309
usercpu_time_millis_training
5.464073998155072
usercpu_time_millis_training
4.79481799993664
usercpu_time_millis_training
4.958374003763311
usercpu_time_millis_training
4.997500000172295
usercpu_time_millis_training
4.914859004202299
usercpu_time_millis_training
4.89916999504203
wall_clock_time_millis
6.104230880737305
wall_clock_time_millis
6.085872650146484
wall_clock_time_millis
6.086826324462891
wall_clock_time_millis
5.997657775878906
wall_clock_time_millis
6.14476203918457
wall_clock_time_millis
5.442619323730469
wall_clock_time_millis
5.59687614440918
wall_clock_time_millis
5.658149719238281
wall_clock_time_millis
5.605459213256836
wall_clock_time_millis
5.558013916015625
wall_clock_time_millis_testing
0.6990432739257812
wall_clock_time_millis_testing
0.6914138793945312
wall_clock_time_millis_testing
0.6594657897949219
wall_clock_time_millis_testing
0.6635189056396484
wall_clock_time_millis_testing
0.6799697875976562
wall_clock_time_millis_testing
0.6425380706787109
wall_clock_time_millis_testing
0.6377696990966797
wall_clock_time_millis_testing
0.6611347198486328
wall_clock_time_millis_testing
0.6875991821289062
wall_clock_time_millis_testing
0.6558895111083984
wall_clock_time_millis_training
5.405187606811523
wall_clock_time_millis_training
5.394458770751953
wall_clock_time_millis_training
5.427360534667969
wall_clock_time_millis_training
5.334138870239258
wall_clock_time_millis_training
5.464792251586914
wall_clock_time_millis_training
4.800081253051758
wall_clock_time_millis_training
4.9591064453125
wall_clock_time_millis_training
4.997014999389648
wall_clock_time_millis_training
4.91786003112793
wall_clock_time_millis_training
4.902124404907227
weighted_recall
0.8441558441558441 [0.88,0.777778]
weighted_recall
0.6753246753246753 [0.82,0.407407]
weighted_recall
0.7922077922077922 [0.88,0.62963]
weighted_recall
0.7532467532467533 [0.92,0.444444]
weighted_recall
0.7792207792207793 [0.88,0.592593]
weighted_recall
0.8311688311688312 [0.88,0.740741]
weighted_recall
0.7922077922077922 [0.88,0.62963]
weighted_recall
0.8051948051948052 [0.94,0.555556]
weighted_recall
0.7894736842105263 [0.92,0.538462]
weighted_recall
0.6973684210526315 [0.82,0.461538]