10590790
32117
VAIBHAV JAISWAL
37
Supervised Classification
19174
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8304362
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
19174
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"}}]
19174
verbose
false
19174
categorical_features
null
19175
early_stopping
"auto"
19175
l2_regularization
0.0
19175
learning_rate
0.1
19175
loss
"auto"
19175
max_bins
255
19175
max_depth
null
19175
max_iter
100
19175
max_leaf_nodes
31
19175
min_samples_leaf
20
19175
monotonic_cst
null
19175
n_iter_no_change
10
19175
random_state
10333
19175
scoring
"loss"
19175
tol
1e-07
19175
validation_fraction
0.1
19175
verbose
0
19175
warm_start
false
19175
openml-python
Sklearn_1.0.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22109176
description
https://api.openml.org/data/download/22109176/description.xml
-1
22109177
predictions
https://api.openml.org/data/download/22109177/predictions.arff
area_under_roc_curve
0.805231343283582 [0.805231,0.805231]
average_cost
0
f_measure
0.7382672414886097 [0.805093,0.613592]
kappa
0.4191724179866832
kb_relative_information_score
0.3783886162575202
mean_absolute_error
0.2783843501252234
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7408854166666666 [0.822,0.589552]
number_of_instances
768 [500,268]
precision
0.7368059629825338 [0.788868,0.639676]
predictive_accuracy
0.7408854166666667
prior_entropy
0.9331348051619819
relative_absolute_error
0.6125184891432491
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.433256676521631
root_relative_squared_error
0.9089791837449043
total_cost
0
unweighted_recall
0.705776119402985 [0.822,0.589552]
area_under_roc_curve
0.8851851851851852 [0.885185,0.885185]
area_under_roc_curve
0.7437037037037038 [0.743704,0.743704]
area_under_roc_curve
0.825925925925926 [0.825926,0.825926]
area_under_roc_curve
0.7792592592592592 [0.779259,0.779259]
area_under_roc_curve
0.748888888888889 [0.748889,0.748889]
area_under_roc_curve
0.7844444444444445 [0.784444,0.784444]
area_under_roc_curve
0.8422222222222222 [0.842222,0.842222]
area_under_roc_curve
0.8303703703703704 [0.83037,0.83037]
area_under_roc_curve
0.8584615384615385 [0.858462,0.858462]
area_under_roc_curve
0.7538461538461538 [0.753846,0.753846]
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
0.8023022094980975 [0.854369,0.705882]
f_measure
0.7083516483516483 [0.788462,0.56]
f_measure
0.7662337662337663 [0.82,0.666667]
f_measure
0.6553246753246754 [0.75,0.48]
f_measure
0.6766364948183129 [0.747475,0.545455]
f_measure
0.7495827986975903 [0.815534,0.627451]
f_measure
0.7640300875594993 [0.823529,0.653846]
f_measure
0.7732131813764467 [0.838095,0.653061]
f_measure
0.7697435077054338 [0.838095,0.638298]
f_measure
0.7148339598997493 [0.770833,0.607143]
kappa
0.5610034207525657
kappa
0.3504601226993866
kappa
0.48666666666666675
kappa
0.23236196319018407
kappa
0.29305912596401024
kappa
0.4439376662865831
kappa
0.4777694046721929
kappa
0.4936170212765959
kappa
0.47903225806451605
kappa
0.37982195845697325
kb_relative_information_score
0.5343662327681351
kb_relative_information_score
0.28889594486739745
kb_relative_information_score
0.3944624091619901
kb_relative_information_score
0.2854037836638568
kb_relative_information_score
0.2471360987226458
kb_relative_information_score
0.33945555853687376
kb_relative_information_score
0.44287666614749016
kb_relative_information_score
0.4665904082264148
kb_relative_information_score
0.45801288803107193
kb_relative_information_score
0.3272875050958957
mean_absolute_error
0.21178720714686283
mean_absolute_error
0.31665376062590733
mean_absolute_error
0.27373786968165725
mean_absolute_error
0.3143560611642129
mean_absolute_error
0.3335277845195646
mean_absolute_error
0.30058296081295544
mean_absolute_error
0.2518107242921486
mean_absolute_error
0.2425805446746713
mean_absolute_error
0.24378515251609567
mean_absolute_error
0.29478509224030985
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
0.8020705709384955 [0.830189,0.75]
precision
0.7064642282033586 [0.759259,0.608696]
precision
0.7662337662337663 [0.82,0.666667]
precision
0.6519229562707823 [0.722222,0.521739]
precision
0.6781738669493772 [0.755102,0.535714]
precision
0.7483459936290124 [0.792453,0.666667]
precision
0.7629170829170829 [0.807692,0.68]
precision
0.7744982290436836 [0.8,0.727273]
precision
0.7706766917293233 [0.8,0.714286]
precision
0.7230358504958048 [0.804348,0.566667]
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7792207792207791
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
0.46546552662406787
relative_absolute_error
0.6959410411650674
relative_absolute_error
0.601620576543924
relative_absolute_error
0.6908911615978856
relative_absolute_error
0.7330267392284153
relative_absolute_error
0.6606206674797089
relative_absolute_error
0.5534291375349918
relative_absolute_error
0.5331430660844884
relative_absolute_error
0.5388392176024284
relative_absolute_error
0.6515645716083587
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
0.3482024235136615
root_mean_squared_error
0.48670721118888566
root_mean_squared_error
0.421219166939215
root_mean_squared_error
0.4652805406976992
root_mean_squared_error
0.47812167453799903
root_mean_squared_error
0.44468303604056364
root_mean_squared_error
0.4087227542919454
root_mean_squared_error
0.4028366399339115
root_mean_squared_error
0.3909177981347665
root_mean_squared_error
0.4652978503682135
root_relative_squared_error
0.7297162572443082
root_relative_squared_error
1.0199761418623048
root_relative_squared_error
0.8827350219932916
root_relative_squared_error
0.9750729799650926
root_relative_squared_error
1.0019837177772006
root_relative_squared_error
0.9319074733746783
root_relative_squared_error
0.8565467049392943
root_relative_squared_error
0.8442113705217038
root_relative_squared_error
0.8239042025025628
root_relative_squared_error
0.9806687138906335
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
0.7733333333333333 [0.88,0.666667]
unweighted_recall
0.6692592592592592 [0.82,0.518519]
unweighted_recall
0.7433333333333333 [0.82,0.666667]
unweighted_recall
0.6122222222222222 [0.78,0.444444]
unweighted_recall
0.6477777777777778 [0.74,0.555556]
unweighted_recall
0.7162962962962962 [0.84,0.592593]
unweighted_recall
0.7348148148148148 [0.84,0.62963]
unweighted_recall
0.7362962962962962 [0.88,0.592593]
unweighted_recall
0.7284615384615385 [0.88,0.576923]
unweighted_recall
0.696923076923077 [0.74,0.653846]
usercpu_time_millis
2203.125
usercpu_time_millis
3046.875
usercpu_time_millis
2312.5
usercpu_time_millis
3046.875
usercpu_time_millis
2562.5
usercpu_time_millis
2828.125
usercpu_time_millis
2921.875
usercpu_time_millis
2062.5
usercpu_time_millis
2984.375
usercpu_time_millis
3140.625
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
46.875
usercpu_time_millis_training
2156.25
usercpu_time_millis_training
2984.375
usercpu_time_millis_training
2265.625
usercpu_time_millis_training
2984.375
usercpu_time_millis_training
2515.625
usercpu_time_millis_training
2765.625
usercpu_time_millis_training
2875
usercpu_time_millis_training
2015.625
usercpu_time_millis_training
2921.875
usercpu_time_millis_training
3093.75
wall_clock_time_millis
820.507287979126
wall_clock_time_millis
817.5313472747803
wall_clock_time_millis
815.5326843261719
wall_clock_time_millis
816.5309429168701
wall_clock_time_millis
824.5275020599365
wall_clock_time_millis
826.5261650085449
wall_clock_time_millis
818.5300827026367
wall_clock_time_millis
825.5281448364258
wall_clock_time_millis
826.5259265899658
wall_clock_time_millis
822.5281238555908
wall_clock_time_millis_testing
8.994340896606445
wall_clock_time_millis_testing
7.995367050170898
wall_clock_time_millis_testing
8.994340896606445
wall_clock_time_millis_testing
7.994174957275391
wall_clock_time_millis_testing
9.99307632446289
wall_clock_time_millis_testing
8.994817733764648
wall_clock_time_millis_testing
8.993864059448242
wall_clock_time_millis_testing
8.99505615234375
wall_clock_time_millis_testing
9.993553161621094
wall_clock_time_millis_testing
7.995367050170898
wall_clock_time_millis_training
811.5129470825195
wall_clock_time_millis_training
809.5359802246094
wall_clock_time_millis_training
806.5383434295654
wall_clock_time_millis_training
808.5367679595947
wall_clock_time_millis_training
814.5344257354736
wall_clock_time_millis_training
817.5313472747803
wall_clock_time_millis_training
809.5362186431885
wall_clock_time_millis_training
816.533088684082
wall_clock_time_millis_training
816.5323734283447
wall_clock_time_millis_training
814.5327568054199
weighted_recall
0.8051948051948052 [0.88,0.666667]
weighted_recall
0.7142857142857143 [0.82,0.518519]
weighted_recall
0.7662337662337663 [0.82,0.666667]
weighted_recall
0.6623376623376623 [0.78,0.444444]
weighted_recall
0.6753246753246753 [0.74,0.555556]
weighted_recall
0.7532467532467533 [0.84,0.592593]
weighted_recall
0.7662337662337663 [0.84,0.62963]
weighted_recall
0.7792207792207793 [0.88,0.592593]
weighted_recall
0.7763157894736842 [0.88,0.576923]
weighted_recall
0.7105263157894737 [0.74,0.653846]