10557859
8323
Heinrich Peters
37
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275575
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
0.01
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.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22040678
description
https://api.openml.org/data/download/22040678/description.xml
-1
22040679
predictions
https://api.openml.org/data/download/22040679/predictions.arff
area_under_roc_curve
0.8280223880597015 [0.828022,0.828022]
average_cost
0
f_measure
0.7461403264836172 [0.834846,0.580645]
kappa
0.4279353022067973
kb_relative_information_score
0.2256381870294204
mean_absolute_error
0.3633210942977752
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7630208333333334 [0.92,0.470149]
number_of_instances
768 [500,268]
precision
0.7623456867336454 [0.76412,0.759036]
predictive_accuracy
0.7630208333333333
prior_entropy
0.9331348051619819
relative_absolute_error
0.7994015743091931
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.408951966541781
root_relative_squared_error
0.8579875276762465
total_cost
0
unweighted_recall
0.6950746268656717 [0.92,0.470149]
area_under_roc_curve
0.914074074074074 [0.914074,0.914074]
area_under_roc_curve
0.731851851851852 [0.731852,0.731852]
area_under_roc_curve
0.8614814814814816 [0.861481,0.861481]
area_under_roc_curve
0.8059259259259259 [0.805926,0.805926]
area_under_roc_curve
0.7955555555555556 [0.795556,0.795556]
area_under_roc_curve
0.8962962962962963 [0.896296,0.896296]
area_under_roc_curve
0.8081481481481482 [0.808148,0.808148]
area_under_roc_curve
0.8614814814814816 [0.861481,0.861481]
area_under_roc_curve
0.8446153846153847 [0.844615,0.844615]
area_under_roc_curve
0.7884615384615384 [0.788462,0.788462]
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
0.7851016907620681 [0.849057,0.666667]
f_measure
0.6948051948051948 [0.8,0.5]
f_measure
0.7059025198560083 [0.810811,0.511628]
f_measure
0.6738397718434016 [0.810345,0.421053]
f_measure
0.7283211069094945 [0.831858,0.536585]
f_measure
0.8409190809190809 [0.884615,0.76]
f_measure
0.7545642763034068 [0.833333,0.608696]
f_measure
0.7899303713257201 [0.864865,0.651163]
f_measure
0.7573928228613723 [0.846847,0.585366]
f_measure
0.7114661654135338 [0.821429,0.5]
kappa
0.5191256830601093
kappa
0.31417004048582997
kappa
0.33919084593379656
kappa
0.27358490566037735
kappa
0.3906705539358601
kappa
0.6457055214723926
kappa
0.44912559618441983
kappa
0.5279934613812833
kappa
0.44691780821917804
kappa
0.3425605536332178
kb_relative_information_score
0.29705313589629195
kb_relative_information_score
0.1447441224950237
kb_relative_information_score
0.22865195556255902
kb_relative_information_score
0.2058939548654574
kb_relative_information_score
0.2111569059356531
kb_relative_information_score
0.253835731817787
kb_relative_information_score
0.230785822380973
kb_relative_information_score
0.24740863384401485
kb_relative_information_score
0.23110503888290304
kb_relative_information_score
0.20543591262557398
mean_absolute_error
0.3385302732985699
mean_absolute_error
0.3930128272811911
mean_absolute_error
0.36341193309360864
mean_absolute_error
0.36673683799435247
mean_absolute_error
0.3702715227173746
mean_absolute_error
0.35806567347586843
mean_absolute_error
0.3617805663915449
mean_absolute_error
0.35648136645464884
mean_absolute_error
0.3573380800087135
mean_absolute_error
0.3675592011260248
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
0.788961038961039 [0.803571,0.761905]
precision
0.7030812324929973 [0.733333,0.647059]
precision
0.7201005961251863 [0.737705,0.6875]
precision
0.7174340810704448 [0.712121,0.727273]
precision
0.7599464028035458 [0.746032,0.785714]
precision
0.8428174080347993 [0.851852,0.826087]
precision
0.7621797440309238 [0.775862,0.736842]
precision
0.8177826272088567 [0.786885,0.875]
precision
0.7805867126833478 [0.770492,0.8]
precision
0.7324763521707494 [0.741935,0.714286]
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.8441558441558442
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7763157894736843
predictive_accuracy
0.736842105263158
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
0.7440211996838856
relative_absolute_error
0.8637628546354965
relative_absolute_error
0.7987060649115924
relative_absolute_error
0.8060135346660166
relative_absolute_error
0.813782058120366
relative_absolute_error
0.7869560655515518
relative_absolute_error
0.7951206502337054
relative_absolute_error
0.7834740785519554
relative_absolute_error
0.7898256701204819
relative_absolute_error
0.8124174516503602
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
0.3743832988683397
root_mean_squared_error
0.4517334317504192
root_mean_squared_error
0.40661866541903313
root_mean_squared_error
0.41963390920777016
root_mean_squared_error
0.41386178865604617
root_mean_squared_error
0.38659847957052484
root_mean_squared_error
0.41169071726850714
root_mean_squared_error
0.40099664883927943
root_mean_squared_error
0.4034087605428066
root_mean_squared_error
0.4159448105483547
root_relative_squared_error
0.7845826484153219
root_relative_squared_error
0.9466827535624833
root_relative_squared_error
0.852137235752499
root_relative_squared_error
0.8794128500024004
root_relative_squared_error
0.8673164086196433
root_relative_squared_error
0.8101815970200312
root_relative_squared_error
0.8627665664010321
root_relative_squared_error
0.8403553622797477
root_relative_squared_error
0.8502303418351547
root_relative_squared_error
0.876651508463113
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
0.7462962962962962 [0.9,0.592593]
unweighted_recall
0.6437037037037037 [0.88,0.407407]
unweighted_recall
0.6537037037037037 [0.9,0.407407]
unweighted_recall
0.6181481481481481 [0.94,0.296296]
unweighted_recall
0.6737037037037037 [0.94,0.407407]
unweighted_recall
0.8118518518518518 [0.92,0.703704]
unweighted_recall
0.7092592592592593 [0.9,0.518519]
unweighted_recall
0.7392592592592593 [0.96,0.518519]
unweighted_recall
0.7007692307692308 [0.94,0.461538]
unweighted_recall
0.6523076923076924 [0.92,0.384615]
usercpu_time_millis
10.581999998976244
usercpu_time_millis
14.607999999498134
usercpu_time_millis
15.71799999965151
usercpu_time_millis
15.223999999761872
usercpu_time_millis
15.148000000408501
usercpu_time_millis
17.345999999633932
usercpu_time_millis
15.593999999509833
usercpu_time_millis
15.019999998912681
usercpu_time_millis
15.558000000964967
usercpu_time_millis
15.244000000166125
usercpu_time_millis_testing
1.0059999995064572
usercpu_time_millis_testing
0.9659999996074475
usercpu_time_millis_testing
1.0160000001633307
usercpu_time_millis_testing
0.9700000000520959
usercpu_time_millis_testing
1.081999999769323
usercpu_time_millis_testing
0.9979999995266553
usercpu_time_millis_testing
1.0019999999713036
usercpu_time_millis_testing
0.9759999993548263
usercpu_time_millis_testing
0.9740000004967442
usercpu_time_millis_testing
1.0099999999511056
usercpu_time_millis_training
9.575999999469786
usercpu_time_millis_training
13.641999999890686
usercpu_time_millis_training
14.70199999948818
usercpu_time_millis_training
14.253999999709777
usercpu_time_millis_training
14.066000000639178
usercpu_time_millis_training
16.348000000107277
usercpu_time_millis_training
14.59199999953853
usercpu_time_millis_training
14.043999999557855
usercpu_time_millis_training
14.584000000468222
usercpu_time_millis_training
14.234000000215019
wall_clock_time_millis
3.7941932678222656
wall_clock_time_millis
3.6787986755371094
wall_clock_time_millis
3.9687156677246094
wall_clock_time_millis
3.8297176361083984
wall_clock_time_millis
4.11224365234375
wall_clock_time_millis
4.400014877319336
wall_clock_time_millis
3.9207935333251953
wall_clock_time_millis
3.780841827392578
wall_clock_time_millis
3.91387939453125
wall_clock_time_millis
3.8542747497558594
wall_clock_time_millis_testing
0.25391578674316406
wall_clock_time_millis_testing
0.24580955505371094
wall_clock_time_millis_testing
0.2589225769042969
wall_clock_time_millis_testing
0.24771690368652344
wall_clock_time_millis_testing
0.576019287109375
wall_clock_time_millis_testing
0.25010108947753906
wall_clock_time_millis_testing
0.25177001953125
wall_clock_time_millis_testing
0.2510547637939453
wall_clock_time_millis_testing
0.25010108947753906
wall_clock_time_millis_testing
0.2560615539550781
wall_clock_time_millis_training
3.5402774810791016
wall_clock_time_millis_training
3.4329891204833984
wall_clock_time_millis_training
3.7097930908203125
wall_clock_time_millis_training
3.582000732421875
wall_clock_time_millis_training
3.536224365234375
wall_clock_time_millis_training
4.149913787841797
wall_clock_time_millis_training
3.6690235137939453
wall_clock_time_millis_training
3.529787063598633
wall_clock_time_millis_training
3.663778305053711
wall_clock_time_millis_training
3.5982131958007812
weighted_recall
0.7922077922077922 [0.9,0.592593]
weighted_recall
0.7142857142857143 [0.88,0.407407]
weighted_recall
0.7272727272727273 [0.9,0.407407]
weighted_recall
0.7142857142857143 [0.94,0.296296]
weighted_recall
0.7532467532467533 [0.94,0.407407]
weighted_recall
0.8441558441558441 [0.92,0.703704]
weighted_recall
0.7662337662337663 [0.9,0.518519]
weighted_recall
0.8051948051948052 [0.96,0.518519]
weighted_recall
0.7763157894736842 [0.94,0.461538]
weighted_recall
0.7368421052631579 [0.92,0.384615]