10591282
32117
VAIBHAV JAISWAL
37
Supervised Classification
19170
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1)
8304107
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
19170
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"}}]
19170
verbose
false
19170
ccp_alpha
0.0
19171
criterion
"friedman_mse"
19171
init
null
19171
learning_rate
0.1
19171
loss
"deviance"
19171
max_depth
3
19171
max_features
null
19171
max_leaf_nodes
null
19171
min_impurity_decrease
0.0
19171
min_samples_leaf
1
19171
min_samples_split
2
19171
min_weight_fraction_leaf
0.0
19171
n_estimators
100
19171
n_iter_no_change
null
19171
random_state
0
19171
subsample
1.0
19171
tol
0.0001
19171
validation_fraction
0.1
19171
verbose
0
19171
warm_start
false
19171
openml-python
Sklearn_1.0.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22110170
description
https://api.openml.org/data/download/22110170/description.xml
-1
22110171
predictions
https://api.openml.org/data/download/22110171/predictions.arff
area_under_roc_curve
0.8348134328358209 [0.834813,0.834813]
average_cost
0
f_measure
0.7697576365817644 [0.831395,0.654762]
kappa
0.48716689180891565
kb_relative_information_score
0.3654183162337834
mean_absolute_error
0.2913023399119143
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7734375 [0.858,0.615672]
number_of_instances
768 [500,268]
precision
0.768969231872053 [0.806391,0.699153]
predictive_accuracy
0.7734375
prior_entropy
0.9331348051619819
relative_absolute_error
0.6409414503598283
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.396427301086436
root_relative_squared_error
0.8317105865482334
total_cost
0
unweighted_recall
0.7368358208955224 [0.858,0.615672]
area_under_roc_curve
0.9362962962962963 [0.936296,0.936296]
area_under_roc_curve
0.7785185185185184 [0.778519,0.778519]
area_under_roc_curve
0.8614814814814816 [0.861481,0.861481]
area_under_roc_curve
0.8266666666666667 [0.826667,0.826667]
area_under_roc_curve
0.822962962962963 [0.822963,0.822963]
area_under_roc_curve
0.8414814814814815 [0.841481,0.841481]
area_under_roc_curve
0.8325925925925926 [0.832593,0.832593]
area_under_roc_curve
0.8466666666666666 [0.846667,0.846667]
area_under_roc_curve
0.83 [0.83,0.83]
area_under_roc_curve
0.7653846153846153 [0.765385,0.765385]
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
0.868905604199722 [0.901961,0.807692]
f_measure
0.6931707748034278 [0.780952,0.530612]
f_measure
0.7902489667195549 [0.843137,0.692308]
f_measure
0.7732131813764467 [0.838095,0.653061]
f_measure
0.7521404431548276 [0.811881,0.641509]
f_measure
0.7348651348651349 [0.807692,0.6]
f_measure
0.7878921078921078 [0.846154,0.68]
f_measure
0.8119639794168095 [0.867925,0.708333]
f_measure
0.7697435077054338 [0.838095,0.638298]
f_measure
0.7129331264669612 [0.77551,0.592593]
kappa
0.7098718914845515
kappa
0.3148936170212767
kappa
0.5357950263752826
kappa
0.4936170212765959
kappa
0.4534927157265597
kappa
0.4095092024539878
kappa
0.5276073619631902
kappa
0.5792349726775957
kappa
0.47903225806451605
kappa
0.36858006042296065
kb_relative_information_score
0.5247553351498615
kb_relative_information_score
0.2816187837710464
kb_relative_information_score
0.38645392626148906
kb_relative_information_score
0.31922650368877475
kb_relative_information_score
0.31439923997068475
kb_relative_information_score
0.3586661143187995
kb_relative_information_score
0.37993541520190843
kb_relative_information_score
0.4396322690352092
kb_relative_information_score
0.36506134127121975
kb_relative_information_score
0.28268244888398586
mean_absolute_error
0.23108773742247393
mean_absolute_error
0.3196028251957911
mean_absolute_error
0.28343207583174895
mean_absolute_error
0.311735483109739
mean_absolute_error
0.31017934894619476
mean_absolute_error
0.29609648529180504
mean_absolute_error
0.28691150166028045
mean_absolute_error
0.2612250747492316
mean_absolute_error
0.29150786530588635
mean_absolute_error
0.3216416882782034
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
0.868971028971029 [0.884615,0.84]
precision
0.6912632821723731 [0.745455,0.590909]
precision
0.7894305694305694 [0.826923,0.72]
precision
0.7744982290436836 [0.8,0.727273]
precision
0.7512977218859571 [0.803922,0.653846]
precision
0.7337348641696468 [0.777778,0.652174]
precision
0.788276136102223 [0.814815,0.73913]
precision
0.8172541743970315 [0.821429,0.809524]
precision
0.7706766917293233 [0.8,0.714286]
precision
0.7163220551378445 [0.791667,0.571429]
predictive_accuracy
0.8701298701298701
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7763157894736843
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
0.5078841958623443
relative_absolute_error
0.7024224897452804
relative_absolute_error
0.6229264846374457
relative_absolute_error
0.6851316600651073
relative_absolute_error
0.6817115913192668
relative_absolute_error
0.6507602999944804
relative_absolute_error
0.6305735601971311
relative_absolute_error
0.5741199793113364
relative_absolute_error
0.6443209048836849
relative_absolute_error
0.7109258044281777
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
0.31501884692951054
root_mean_squared_error
0.4436254227505043
root_mean_squared_error
0.38480991434208484
root_mean_squared_error
0.40638850120072906
root_mean_squared_error
0.39711750450303873
root_mean_squared_error
0.3847847770662932
root_mean_squared_error
0.4017348480617418
root_mean_squared_error
0.37951173706546354
root_mean_squared_error
0.38981938603813826
root_mean_squared_error
0.44678691298166234
root_relative_squared_error
0.66017453762438
root_relative_squared_error
0.9296910683196926
root_relative_squared_error
0.8064333602583094
root_relative_squared_error
0.8516548882425719
root_relative_squared_error
0.8322259682973967
root_relative_squared_error
0.8063806809040909
root_relative_squared_error
0.8419023818790952
root_relative_squared_error
0.7953301460603724
root_relative_squared_error
0.8215891727269689
root_relative_squared_error
0.9416547851879463
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
0.8488888888888889 [0.92,0.777778]
unweighted_recall
0.6507407407407407 [0.82,0.481481]
unweighted_recall
0.7633333333333333 [0.86,0.666667]
unweighted_recall
0.7362962962962962 [0.88,0.592593]
unweighted_recall
0.7248148148148148 [0.82,0.62963]
unweighted_recall
0.6977777777777778 [0.84,0.555556]
unweighted_recall
0.7548148148148148 [0.88,0.62963]
unweighted_recall
0.7748148148148148 [0.92,0.62963]
unweighted_recall
0.7284615384615385 [0.88,0.576923]
unweighted_recall
0.6876923076923077 [0.76,0.615385]
usercpu_time_millis
218.75
usercpu_time_millis
218.75
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
203.125
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
203.125
usercpu_time_millis
187.5
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_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
218.75
usercpu_time_millis_training
218.75
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
203.125
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
203.125
usercpu_time_millis_training
187.5
wall_clock_time_millis
215.85607528686523
wall_clock_time_millis
306.8063259124756
wall_clock_time_millis
181.89239501953125
wall_clock_time_millis
186.91492080688477
wall_clock_time_millis
184.91721153259277
wall_clock_time_millis
206.88271522521973
wall_clock_time_millis
196.8858242034912
wall_clock_time_millis
194.89336013793945
wall_clock_time_millis
189.9104118347168
wall_clock_time_millis
193.9108371734619
wall_clock_time_millis_testing
4.997730255126953
wall_clock_time_millis_testing
2.0036697387695312
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
2.9993057250976562
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
2.0003318786621094
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_training
210.85834503173828
wall_clock_time_millis_training
304.80265617370605
wall_clock_time_millis_training
179.89253997802734
wall_clock_time_millis_training
184.91554260253906
wall_clock_time_millis_training
181.91790580749512
wall_clock_time_millis_training
203.88317108154297
wall_clock_time_millis_training
194.8854923248291
wall_clock_time_millis_training
191.8933391571045
wall_clock_time_millis_training
187.9112720489502
wall_clock_time_millis_training
190.91200828552246
weighted_recall
0.8701298701298701 [0.92,0.777778]
weighted_recall
0.7012987012987013 [0.82,0.481481]
weighted_recall
0.7922077922077922 [0.86,0.666667]
weighted_recall
0.7792207792207793 [0.88,0.592593]
weighted_recall
0.7532467532467533 [0.82,0.62963]
weighted_recall
0.7402597402597403 [0.84,0.555556]
weighted_recall
0.7922077922077922 [0.88,0.62963]
weighted_recall
0.8181818181818182 [0.92,0.62963]
weighted_recall
0.7763157894736842 [0.88,0.576923]
weighted_recall
0.7105263157894737 [0.76,0.615385]