10588266
32117
VAIBHAV JAISWAL
37
Supervised Classification
19157
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._logistic.LogisticRegression)(1)
8304101
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
copy
true
19075
with_mean
true
19075
with_std
true
19075
add_indicator
false
19084
copy
true
19084
fill_value
null
19084
missing_values
NaN
19084
strategy
"mean"
19084
verbose
0
19084
memory
null
19156
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}]
19156
verbose
false
19156
memory
null
19157
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}]
19157
verbose
false
19157
C
1.0
19158
class_weight
null
19158
dual
false
19158
fit_intercept
true
19158
intercept_scaling
1
19158
l1_ratio
null
19158
max_iter
100
19158
multi_class
"auto"
19158
n_jobs
null
19158
penalty
"l2"
19158
random_state
0
19158
solver
"lbfgs"
19158
tol
0.0001
19158
verbose
0
19158
warm_start
false
19158
openml-python
Sklearn_1.0.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22104099
description
https://api.openml.org/data/download/22104099/description.xml
-1
22104100
predictions
https://api.openml.org/data/download/22104100/predictions.arff
area_under_roc_curve
0.8302985074626865 [0.830299,0.830299]
average_cost
0
f_measure
0.7712837601801246 [0.839319,0.644351]
kappa
0.4870827833301905
kb_relative_information_score
0.3302308189416226
mean_absolute_error
0.3112472509968153
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7786458333333334 [0.888,0.574627]
number_of_instances
768 [500,268]
precision
0.7739359318996416 [0.795699,0.733333]
predictive_accuracy
0.7786458333333333
prior_entropy
0.9331348051619819
relative_absolute_error
0.6848254790357388
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.3962615271518511
root_relative_squared_error
0.8313627902789297
total_cost
0
unweighted_recall
0.7313134328358208 [0.888,0.574627]
area_under_roc_curve
0.9155555555555555 [0.915556,0.915556]
area_under_roc_curve
0.737037037037037 [0.737037,0.737037]
area_under_roc_curve
0.8851851851851852 [0.885185,0.885185]
area_under_roc_curve
0.8325925925925926 [0.832593,0.832593]
area_under_roc_curve
0.8118518518518517 [0.811852,0.811852]
area_under_roc_curve
0.8911111111111112 [0.891111,0.891111]
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
0.6727523684045422 [0.777778,0.478261]
f_measure
0.7851016907620681 [0.849057,0.666667]
f_measure
0.7339118036792455 [0.828829,0.55814]
f_measure
0.7851016907620681 [0.849057,0.666667]
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
0.2655007949125597
kappa
0.5191256830601093
kappa
0.4021250510829588
kappa
0.5191256830601093
kappa
0.6260739633918567
kappa
0.5276073619631902
kappa
0.5367027677496993
kappa
0.4950166112956811
kappa
0.29516129032258054
kb_relative_information_score
0.4376775537035651
kb_relative_information_score
0.2253136869802951
kb_relative_information_score
0.35508545055106105
kb_relative_information_score
0.3020034876711093
kb_relative_information_score
0.3222572081206853
kb_relative_information_score
0.3764647340881997
kb_relative_information_score
0.33457747763686674
kb_relative_information_score
0.3662881492016593
kb_relative_information_score
0.33012512500761587
kb_relative_information_score
0.25083933642770556
mean_absolute_error
0.2724686429227813
mean_absolute_error
0.3508238710367217
mean_absolute_error
0.30444848280768944
mean_absolute_error
0.32001625580718607
mean_absolute_error
0.31805010765352315
mean_absolute_error
0.29641059849558893
mean_absolute_error
0.30924025135772254
mean_absolute_error
0.2985399012068318
mean_absolute_error
0.30693638222643427
mean_absolute_error
0.3358009098311272
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
0.6732269545336695 [0.724138,0.578947]
precision
0.788961038961039 [0.803571,0.761905]
precision
0.7526612731530764 [0.754098,0.75]
precision
0.788961038961039 [0.803571,0.761905]
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
0.6883116883116882
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7922077922077922
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
0.5988310723539193
relative_absolute_error
0.7710400457340402
relative_absolute_error
0.6691163044692844
relative_absolute_error
0.7033311267675443
relative_absolute_error
0.6990099300432725
relative_absolute_error
0.6514506574045833
relative_absolute_error
0.6796476444007616
relative_absolute_error
0.6561304349094798
relative_absolute_error
0.6784226124751059
relative_absolute_error
0.7422219838086391
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
0.3423798956816317
root_mean_squared_error
0.4555950476081827
root_mean_squared_error
0.37635596700981755
root_mean_squared_error
0.40573485206760973
root_mean_squared_error
0.39606915769247036
root_mean_squared_error
0.3587430799842378
root_mean_squared_error
0.4068833690744238
root_mean_squared_error
0.3782507891505077
root_mean_squared_error
0.39782565560425703
root_mean_squared_error
0.43257742863509
root_relative_squared_error
0.7175141789979373
root_relative_squared_error
0.9547754136945054
root_relative_squared_error
0.7887167035389442
root_relative_squared_error
0.8502850574580595
root_relative_squared_error
0.8300289826957961
root_relative_squared_error
0.7518059610177374
root_relative_squared_error
0.852691966413881
root_relative_squared_error
0.7926876193835141
root_relative_squared_error
0.8384633063002362
root_relative_squared_error
0.9117066632953243
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
0.6237037037037036 [0.84,0.407407]
unweighted_recall
0.7462962962962962 [0.9,0.592593]
unweighted_recall
0.6822222222222223 [0.92,0.444444]
unweighted_recall
0.7462962962962962 [0.9,0.592593]
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
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
wall_clock_time_millis
15.968799591064453
wall_clock_time_millis
11.016845703125
wall_clock_time_millis
10.994434356689453
wall_clock_time_millis
10.99252700805664
wall_clock_time_millis
11.992692947387695
wall_clock_time_millis
9.9945068359375
wall_clock_time_millis
13.012409210205078
wall_clock_time_millis
12.006521224975586
wall_clock_time_millis
11.991500854492188
wall_clock_time_millis
11.993169784545898
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
0.9973049163818359
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
0.9989738464355469
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_training
13.969898223876953
wall_clock_time_millis_training
10.019540786743164
wall_clock_time_millis_training
8.995294570922852
wall_clock_time_millis_training
8.99362564086914
wall_clock_time_millis_training
9.994268417358398
wall_clock_time_millis_training
7.994890213012695
wall_clock_time_millis_training
12.013435363769531
wall_clock_time_millis_training
10.007858276367188
wall_clock_time_millis_training
9.992361068725586
wall_clock_time_millis_training
9.9945068359375
weighted_recall
0.8441558441558441 [0.88,0.777778]
weighted_recall
0.6883116883116883 [0.84,0.407407]
weighted_recall
0.7922077922077922 [0.9,0.592593]
weighted_recall
0.7532467532467533 [0.92,0.444444]
weighted_recall
0.7922077922077922 [0.9,0.592593]
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]