10591275
32117
VAIBHAV JAISWAL
37
Supervised Classification
19159
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1)
8304102
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
19159
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"}}]
19159
verbose
false
19159
alpha
0.0001
19160
average
false
19160
class_weight
null
19160
early_stopping
false
19160
epsilon
0.1
19160
eta0
0.0
19160
fit_intercept
true
19160
l1_ratio
0.15
19160
learning_rate
"optimal"
19160
loss
"hinge"
19160
max_iter
1000
19160
n_iter_no_change
5
19160
n_jobs
null
19160
penalty
"l2"
19160
power_t
0.5
19160
random_state
0
19160
shuffle
true
19160
tol
0.001
19160
validation_fraction
0.1
19160
verbose
0
19160
warm_start
false
19160
openml-python
Sklearn_1.0.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22110156
description
https://api.openml.org/data/download/22110156/description.xml
-1
22110157
predictions
https://api.openml.org/data/download/22110157/predictions.arff
area_under_roc_curve
0.6899850746268656 [0.689985,0.689985]
average_cost
0
f_measure
0.7262481273588076 [0.799224,0.590099]
kappa
0.3904481457623999
kb_relative_information_score
0.3826517149016522
mean_absolute_error
0.26953125
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.73046875 [0.824,0.55597]
number_of_instances
768 [500,268]
precision
0.7245269801822848 [0.775895,0.628692]
predictive_accuracy
0.73046875
prior_entropy
0.9331348051619819
relative_absolute_error
0.5930393499226123
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.5191639914323797
root_relative_squared_error
1.0892140542429474
total_cost
0
unweighted_recall
0.6899850746268656 [0.824,0.55597]
area_under_roc_curve
0.6462962962962963 [0.646296,0.646296]
area_under_roc_curve
0.6977777777777778 [0.697778,0.697778]
area_under_roc_curve
0.6737037037037037 [0.673704,0.673704]
area_under_roc_curve
0.6451851851851852 [0.645185,0.645185]
area_under_roc_curve
0.6507407407407407 [0.650741,0.650741]
area_under_roc_curve
0.7688888888888888 [0.768889,0.768889]
area_under_roc_curve
0.6877777777777778 [0.687778,0.687778]
area_under_roc_curve
0.7377777777777778 [0.737778,0.737778]
area_under_roc_curve
0.7161538461538463 [0.716154,0.716154]
area_under_roc_curve
0.6784615384615384 [0.678462,0.678462]
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
0.6669465591879385 [0.729167,0.551724]
f_measure
0.7348651348651349 [0.807692,0.6]
f_measure
0.7283211069094945 [0.831858,0.536585]
f_measure
0.6997233286894414 [0.814159,0.487805]
f_measure
0.6931707748034278 [0.780952,0.530612]
f_measure
0.7704614534401768 [0.808511,0.7]
f_measure
0.7232230932973366 [0.796117,0.588235]
f_measure
0.7818349122696949 [0.851852,0.652174]
f_measure
0.7285318559556786 [0.778947,0.631579]
f_measure
0.7105263157894737 [0.78,0.576923]
kappa
0.28295128939828074
kappa
0.4095092024539878
kappa
0.3906705539358601
kappa
0.326530612244898
kappa
0.3148936170212767
kappa
0.5116279069767443
kappa
0.3854047890535918
kappa
0.5103338632750399
kappa
0.41323529411764703
kappa
0.35692307692307695
kb_relative_information_score
0.22785618780042838
kb_relative_information_score
0.40604322138494553
kb_relative_information_score
0.4357410603156983
kb_relative_information_score
0.3763453824541927
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.46543889924645093
kb_relative_information_score
0.37634538245419263
kb_relative_information_score
0.5248345771079564
kb_relative_information_score
0.3629141743626787
kb_relative_information_score
0.33257675409423476
mean_absolute_error
0.33766233766233766
mean_absolute_error
0.2597402597402597
mean_absolute_error
0.24675324675324675
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.27631578947368424
mean_absolute_error
0.2894736842105263
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
0.6750514562576274 [0.76087,0.516129]
precision
0.7337348641696468 [0.777778,0.652174]
precision
0.7599464028035458 [0.746032,0.785714]
precision
0.7245928674500103 [0.730159,0.714286]
precision
0.6912632821723731 [0.745455,0.590909]
precision
0.7839433293978748 [0.863636,0.636364]
precision
0.7214837049742711 [0.773585,0.625]
precision
0.7918306738633417 [0.793103,0.789474]
precision
0.739577438219204 [0.822222,0.580645]
precision
0.7105263157894737 [0.78,0.576923]
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7236842105263157
predictive_accuracy
0.7105263157894737
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
0.742113652370537
relative_absolute_error
0.5708566556696436
relative_absolute_error
0.5423138228861615
relative_absolute_error
0.599399488453126
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.599399488453126
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.6107418038978688
relative_absolute_error
0.6398247469406244
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
0.5810872031479765
root_mean_squared_error
0.5096471914376255
root_mean_squared_error
0.496742636335202
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.5256574830378469
root_mean_squared_error
0.5380275868489703
root_relative_squared_error
1.217765157217718
root_relative_squared_error
1.0680506967704846
root_relative_squared_error
1.0410070491251833
root_relative_squared_error
1.0944262905356
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
1.0944262905356
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
1.1078835791520962
root_relative_squared_error
1.133954995096847
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
0.6462962962962963 [0.7,0.592593]
unweighted_recall
0.6977777777777778 [0.84,0.555556]
unweighted_recall
0.6737037037037037 [0.94,0.407407]
unweighted_recall
0.6451851851851852 [0.92,0.37037]
unweighted_recall
0.6507407407407407 [0.82,0.481481]
unweighted_recall
0.768888888888889 [0.76,0.777778]
unweighted_recall
0.6877777777777778 [0.82,0.555556]
unweighted_recall
0.7377777777777779 [0.92,0.555556]
unweighted_recall
0.7161538461538461 [0.74,0.692308]
unweighted_recall
0.6784615384615384 [0.78,0.576923]
usercpu_time_millis
15.625
usercpu_time_millis
0
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
15.625
usercpu_time_millis
0
usercpu_time_millis
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
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
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
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
wall_clock_time_millis
10.971307754516602
wall_clock_time_millis
9.997844696044922
wall_clock_time_millis
13.9923095703125
wall_clock_time_millis
17.990589141845703
wall_clock_time_millis
17.99178123474121
wall_clock_time_millis
16.989707946777344
wall_clock_time_millis
9.996652603149414
wall_clock_time_millis
12.991666793823242
wall_clock_time_millis
10.994195938110352
wall_clock_time_millis
12.012958526611328
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
2.0003318786621094
wall_clock_time_millis_testing
3.9980411529541016
wall_clock_time_millis_testing
2.0012855529785156
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
3.9987564086914062
wall_clock_time_millis_testing
2.002716064453125
wall_clock_time_millis_testing
2.020120620727539
wall_clock_time_millis_training
8.971691131591797
wall_clock_time_millis_training
7.997751235961914
wall_clock_time_millis_training
11.992931365966797
wall_clock_time_millis_training
15.990257263183594
wall_clock_time_millis_training
13.99374008178711
wall_clock_time_millis_training
14.988422393798828
wall_clock_time_millis_training
7.997989654541016
wall_clock_time_millis_training
8.992910385131836
wall_clock_time_millis_training
8.991479873657227
wall_clock_time_millis_training
9.992837905883789
weighted_recall
0.6623376623376623 [0.7,0.592593]
weighted_recall
0.7402597402597403 [0.84,0.555556]
weighted_recall
0.7532467532467533 [0.94,0.407407]
weighted_recall
0.7272727272727273 [0.92,0.37037]
weighted_recall
0.7012987012987013 [0.82,0.481481]
weighted_recall
0.7662337662337663 [0.76,0.777778]
weighted_recall
0.7272727272727273 [0.82,0.555556]
weighted_recall
0.7922077922077922 [0.92,0.555556]
weighted_recall
0.7236842105263158 [0.74,0.692308]
weighted_recall
0.7105263157894737 [0.78,0.576923]