10590789
32117
VAIBHAV JAISWAL
37
Supervised Classification
19172
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1)
8304361
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
19172
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"}}]
19172
verbose
false
19172
bootstrap
false
19173
ccp_alpha
0.0
19173
class_weight
null
19173
criterion
"gini"
19173
max_depth
null
19173
max_features
"auto"
19173
max_leaf_nodes
null
19173
max_samples
null
19173
min_impurity_decrease
0.0
19173
min_samples_leaf
1
19173
min_samples_split
2
19173
min_weight_fraction_leaf
0.0
19173
n_estimators
100
19173
n_jobs
null
19173
oob_score
false
19173
random_state
1362
19173
verbose
0
19173
warm_start
false
19173
openml-python
Sklearn_1.0.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22109174
description
https://api.openml.org/data/download/22109174/description.xml
-1
22109175
predictions
https://api.openml.org/data/download/22109175/predictions.arff
area_under_roc_curve
0.8261791044776118 [0.826179,0.826179]
average_cost
0
f_measure
0.7547522817182194 [0.823755,0.626016]
kappa
0.45183714001986086
kb_relative_information_score
0.2887508777825324
mean_absolute_error
0.32924479166666676
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7604166666666666 [0.86,0.574627]
number_of_instances
768 [500,268]
precision
0.7545189950980392 [0.790441,0.6875]
predictive_accuracy
0.7604166666666667
prior_entropy
0.9331348051619819
relative_absolute_error
0.724424782712231
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.40129121024097547
root_relative_squared_error
0.8419151429063672
total_cost
0
unweighted_recall
0.7173134328358208 [0.86,0.574627]
area_under_roc_curve
0.8929629629629628 [0.892963,0.892963]
area_under_roc_curve
0.7422222222222222 [0.742222,0.742222]
area_under_roc_curve
0.8433333333333334 [0.843333,0.843333]
area_under_roc_curve
0.8355555555555555 [0.835556,0.835556]
area_under_roc_curve
0.7811111111111112 [0.781111,0.781111]
area_under_roc_curve
0.8177777777777779 [0.817778,0.817778]
area_under_roc_curve
0.8770370370370371 [0.877037,0.877037]
area_under_roc_curve
0.8507407407407407 [0.850741,0.850741]
area_under_roc_curve
0.8257692307692309 [0.825769,0.825769]
area_under_roc_curve
0.7796153846153845 [0.779615,0.779615]
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
0.6818381618381618 [0.769231,0.52]
f_measure
0.7640300875594993 [0.823529,0.653846]
f_measure
0.7502951593860684 [0.836364,0.590909]
f_measure
0.7083516483516483 [0.788462,0.56]
f_measure
0.7782309228227403 [0.831683,0.679245]
f_measure
0.7700015236304757 [0.841121,0.638298]
f_measure
0.8119639794168095 [0.867925,0.708333]
f_measure
0.7459877154745392 [0.815534,0.612245]
f_measure
0.7309379217273955 [0.807692,0.583333]
kappa
0.5610034207525657
kappa
0.2914110429447853
kappa
0.4777694046721929
kappa
0.43886639676113365
kappa
0.3504601226993866
kappa
0.5110197982816587
kappa
0.48444269397400563
kappa
0.5792349726775957
kappa
0.42879746835443044
kappa
0.39297124600638966
kb_relative_information_score
0.3713327595110251
kb_relative_information_score
0.20788940635231545
kb_relative_information_score
0.3197799743139067
kb_relative_information_score
0.27700847732449124
kb_relative_information_score
0.22255400922368387
kb_relative_information_score
0.25704876539479554
kb_relative_information_score
0.3472845763486079
kb_relative_information_score
0.32681649653700495
kb_relative_information_score
0.28868919882725597
kb_relative_information_score
0.26868068874626144
mean_absolute_error
0.2977922077922079
mean_absolute_error
0.36025974025974017
mean_absolute_error
0.31922077922077935
mean_absolute_error
0.33467532467532457
mean_absolute_error
0.3494805194805195
mean_absolute_error
0.34727272727272723
mean_absolute_error
0.3062337662337662
mean_absolute_error
0.3167532467532467
mean_absolute_error
0.3281578947368422
mean_absolute_error
0.3326315789473683
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
0.6791935922370705 [0.740741,0.565217]
precision
0.7629170829170829 [0.807692,0.68]
precision
0.7659791189202955 [0.766667,0.764706]
precision
0.7064642282033586 [0.759259,0.608696]
precision
0.7775166010460127 [0.823529,0.692308]
precision
0.7756322624743677 [0.789474,0.75]
precision
0.8172541743970315 [0.821429,0.809524]
precision
0.7444626743232158 [0.792453,0.652174]
precision
0.7293992557150453 [0.777778,0.636364]
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.75
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
0.6544871557252467
relative_absolute_error
0.7917781814137957
relative_absolute_error
0.7015828298179925
relative_absolute_error
0.7355488008303358
relative_absolute_error
0.7680876302035057
relative_absolute_error
0.7632353486303137
relative_absolute_error
0.6730399970345098
relative_absolute_error
0.6961596915891305
relative_absolute_error
0.7253285994863262
relative_absolute_error
0.7352168001208627
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
0.36476108530194035
root_mean_squared_error
0.4434106302435554
root_mean_squared_error
0.38970851578163807
root_mean_squared_error
0.4006018199931426
root_mean_squared_error
0.41685121454175356
root_mean_squared_error
0.4035491891355353
root_mean_squared_error
0.3797299108508642
root_mean_squared_error
0.38996003791264455
root_mean_squared_error
0.39752854912373414
root_mean_squared_error
0.42141990560734705
root_relative_squared_error
0.7644176949401981
root_relative_squared_error
0.92924093479485
root_relative_squared_error
0.8166991966420188
root_relative_squared_error
0.8395279325767957
root_relative_squared_error
0.8735812491874232
root_relative_squared_error
0.8457046362240631
root_relative_squared_error
0.7957873656181943
root_relative_squared_error
0.8172263032204283
root_relative_squared_error
0.8378371202348753
root_relative_squared_error
0.8881909007592134
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
0.6407407407407407 [0.8,0.481481]
unweighted_recall
0.7348148148148148 [0.84,0.62963]
unweighted_recall
0.7007407407407408 [0.92,0.481481]
unweighted_recall
0.6692592592592592 [0.82,0.518519]
unweighted_recall
0.7533333333333333 [0.84,0.666667]
unweighted_recall
0.7277777777777779 [0.9,0.555556]
unweighted_recall
0.7748148148148148 [0.92,0.62963]
unweighted_recall
0.7084615384615385 [0.84,0.576923]
unweighted_recall
0.6892307692307692 [0.84,0.538462]
usercpu_time_millis
250
usercpu_time_millis
218.75
usercpu_time_millis
203.125
usercpu_time_millis
203.125
usercpu_time_millis
203.125
usercpu_time_millis
218.75
usercpu_time_millis
203.125
usercpu_time_millis
203.125
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
234.375
usercpu_time_millis_training
187.5
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
171.875
usercpu_time_millis_training
171.875
wall_clock_time_millis
253.83281707763672
wall_clock_time_millis
209.87892150878906
wall_clock_time_millis
210.88147163391113
wall_clock_time_millis
203.87911796569824
wall_clock_time_millis
204.8797607421875
wall_clock_time_millis
214.8752212524414
wall_clock_time_millis
205.88159561157227
wall_clock_time_millis
201.88307762145996
wall_clock_time_millis
198.8809108734131
wall_clock_time_millis
201.90095901489258
wall_clock_time_millis_testing
17.98701286315918
wall_clock_time_millis_testing
18.988370895385742
wall_clock_time_millis_testing
15.992879867553711
wall_clock_time_millis_testing
15.990734100341797
wall_clock_time_millis_testing
16.97397232055664
wall_clock_time_millis_testing
20.986557006835938
wall_clock_time_millis_testing
15.9912109375
wall_clock_time_millis_testing
17.009258270263672
wall_clock_time_millis_testing
15.969038009643555
wall_clock_time_millis_testing
16.008853912353516
wall_clock_time_millis_training
235.84580421447754
wall_clock_time_millis_training
190.89055061340332
wall_clock_time_millis_training
194.88859176635742
wall_clock_time_millis_training
187.88838386535645
wall_clock_time_millis_training
187.90578842163086
wall_clock_time_millis_training
193.88866424560547
wall_clock_time_millis_training
189.89038467407227
wall_clock_time_millis_training
184.8738193511963
wall_clock_time_millis_training
182.91187286376953
wall_clock_time_millis_training
185.89210510253906
weighted_recall
0.8051948051948052 [0.88,0.666667]
weighted_recall
0.6883116883116883 [0.8,0.481481]
weighted_recall
0.7662337662337663 [0.84,0.62963]
weighted_recall
0.7662337662337663 [0.92,0.481481]
weighted_recall
0.7142857142857143 [0.82,0.518519]
weighted_recall
0.7792207792207793 [0.84,0.666667]
weighted_recall
0.7792207792207793 [0.9,0.555556]
weighted_recall
0.8181818181818182 [0.92,0.62963]
weighted_recall
0.75 [0.84,0.576923]
weighted_recall
0.7368421052631579 [0.84,0.538462]