10591283
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)
8304108
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
0
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
22110172
description
https://api.openml.org/data/download/22110172/description.xml
-1
22110173
predictions
https://api.openml.org/data/download/22110173/predictions.arff
area_under_roc_curve
0.8191529850746267 [0.819153,0.819153]
average_cost
0
f_measure
0.7526221356475874 [0.823642,0.620123]
kappa
0.4463667820069204
kb_relative_information_score
0.2842473328836026
mean_absolute_error
0.3308593749999999
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7591145833333334 [0.864,0.563433]
number_of_instances
768 [500,268]
precision
0.7529010560920227 [0.786885,0.689498]
predictive_accuracy
0.7591145833333333
prior_entropy
0.9331348051619819
relative_absolute_error
0.7279772889629745
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4036642065710891
root_relative_squared_error
0.8468937257743652
total_cost
0
unweighted_recall
0.7137164179104478 [0.864,0.563433]
area_under_roc_curve
0.8896296296296295 [0.88963,0.88963]
area_under_roc_curve
0.7518518518518519 [0.751852,0.751852]
area_under_roc_curve
0.8248148148148149 [0.824815,0.824815]
area_under_roc_curve
0.8155555555555556 [0.815556,0.815556]
area_under_roc_curve
0.7796296296296296 [0.77963,0.77963]
area_under_roc_curve
0.8255555555555556 [0.825556,0.825556]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.8596296296296295 [0.85963,0.85963]
area_under_roc_curve
0.8242307692307692 [0.824231,0.824231]
area_under_roc_curve
0.7634615384615383 [0.763462,0.763462]
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
0.7613786213786213 [0.826923,0.64]
f_measure
0.7045148247978437 [0.792453,0.541667]
f_measure
0.7378112083994437 [0.803922,0.615385]
f_measure
0.7170686456400742 [0.821429,0.52381]
f_measure
0.6705036824968293 [0.757282,0.509804]
f_measure
0.7521404431548276 [0.811881,0.641509]
f_measure
0.8119639794168095 [0.867925,0.708333]
f_measure
0.8241188121880109 [0.878505,0.723404]
f_measure
0.7817019990501274 [0.849057,0.652174]
f_measure
0.7607430340557275 [0.823529,0.64]
kappa
0.468558282208589
kappa
0.33879781420765026
kappa
0.41974378296910325
kappa
0.36468646864686466
kappa
0.26833903458760927
kappa
0.4534927157265597
kappa
0.5792349726775957
kappa
0.6057502953918867
kappa
0.5048859934853421
kappa
0.4639498432601882
kb_relative_information_score
0.3701173843312457
kb_relative_information_score
0.2088037830868487
kb_relative_information_score
0.2933548446164634
kb_relative_information_score
0.27078098816424306
kb_relative_information_score
0.21957626210768474
kb_relative_information_score
0.25011514504654053
kb_relative_information_score
0.33935865705087664
kb_relative_information_score
0.35020689286182877
kb_relative_information_score
0.29350168405576194
kb_relative_information_score
0.24604745033842326
mean_absolute_error
0.29701298701298706
mean_absolute_error
0.3605194805194805
mean_absolute_error
0.327012987012987
mean_absolute_error
0.33571428571428574
mean_absolute_error
0.3522077922077923
mean_absolute_error
0.34857142857142864
mean_absolute_error
0.31038961038961044
mean_absolute_error
0.3075324675324674
mean_absolute_error
0.32592105263157906
mean_absolute_error
0.3438157894736842
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
0.7610055001359349 [0.796296,0.695652]
precision
0.7040816326530612 [0.75,0.619048]
precision
0.7364035964035964 [0.788462,0.64]
precision
0.7389191453707582 [0.741935,0.733333]
precision
0.6677591276647881 [0.735849,0.541667]
precision
0.7512977218859571 [0.803922,0.653846]
precision
0.8172541743970315 [0.821429,0.809524]
precision
0.8334814308498518 [0.824561,0.85]
precision
0.7852443609022557 [0.803571,0.75]
precision
0.75944669365722 [0.807692,0.666667]
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7894736842105263
predictive_accuracy
0.763157894736842
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
0.6527745857582379
relative_absolute_error
0.7923490380694657
relative_absolute_error
0.7187085294880814
relative_absolute_error
0.7378322274530147
relative_absolute_error
0.7740816250880371
relative_absolute_error
0.7660896319086621
relative_absolute_error
0.6821737035252243
relative_absolute_error
0.6758942803128579
relative_absolute_error
0.7203844991690578
relative_absolute_error
0.7599373017072053
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
0.36822670882339475
root_mean_squared_error
0.4423667162980413
root_mean_squared_error
0.40131925303571325
root_mean_squared_error
0.4090168764180828
root_mean_squared_error
0.4166128103722133
root_mean_squared_error
0.4036714621454549
root_mean_squared_error
0.3850316229212228
root_mean_squared_error
0.3846266531815786
root_mean_squared_error
0.3959847817384162
root_mean_squared_error
0.4248018113748674
root_relative_squared_error
0.7716804870815466
root_relative_squared_error
0.9270532390013548
root_relative_squared_error
0.8410314331824642
root_relative_squared_error
0.8571630869130094
root_relative_squared_error
0.8730816334852897
root_relative_squared_error
0.8459608797109986
root_relative_squared_error
0.806897987565997
root_relative_squared_error
0.8060493059292401
root_relative_squared_error
0.8345834529868793
root_relative_squared_error
0.8953186559743063
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
0.7262962962962962 [0.86,0.592593]
unweighted_recall
0.6607407407407407 [0.84,0.481481]
unweighted_recall
0.7062962962962962 [0.82,0.592593]
unweighted_recall
0.6637037037037037 [0.92,0.407407]
unweighted_recall
0.6307407407407407 [0.78,0.481481]
unweighted_recall
0.7248148148148148 [0.82,0.62963]
unweighted_recall
0.7748148148148148 [0.92,0.62963]
unweighted_recall
0.7848148148148149 [0.94,0.62963]
unweighted_recall
0.7384615384615385 [0.9,0.576923]
unweighted_recall
0.7276923076923076 [0.84,0.615385]
usercpu_time_millis
265.625
usercpu_time_millis
203.125
usercpu_time_millis
218.75
usercpu_time_millis
203.125
usercpu_time_millis
218.75
usercpu_time_millis
203.125
usercpu_time_millis
218.75
usercpu_time_millis
218.75
usercpu_time_millis
203.125
usercpu_time_millis
203.125
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
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
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
203.125
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
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
wall_clock_time_millis
258.82887840270996
wall_clock_time_millis
211.87877655029297
wall_clock_time_millis
221.87328338623047
wall_clock_time_millis
207.88335800170898
wall_clock_time_millis
209.8991870880127
wall_clock_time_millis
209.9013328552246
wall_clock_time_millis
218.8739776611328
wall_clock_time_millis
215.8966064453125
wall_clock_time_millis
214.8764133453369
wall_clock_time_millis
201.88450813293457
wall_clock_time_millis_testing
31.9821834564209
wall_clock_time_millis_testing
17.992019653320312
wall_clock_time_millis_testing
17.989158630371094
wall_clock_time_millis_testing
16.992807388305664
wall_clock_time_millis_testing
20.98870277404785
wall_clock_time_millis_testing
19.98734474182129
wall_clock_time_millis_testing
21.986722946166992
wall_clock_time_millis_testing
21.005868911743164
wall_clock_time_millis_testing
16.99233055114746
wall_clock_time_millis_testing
16.994237899780273
wall_clock_time_millis_training
226.84669494628906
wall_clock_time_millis_training
193.88675689697266
wall_clock_time_millis_training
203.88412475585938
wall_clock_time_millis_training
190.89055061340332
wall_clock_time_millis_training
188.91048431396484
wall_clock_time_millis_training
189.91398811340332
wall_clock_time_millis_training
196.88725471496582
wall_clock_time_millis_training
194.89073753356934
wall_clock_time_millis_training
197.88408279418945
wall_clock_time_millis_training
184.8902702331543
weighted_recall
0.7662337662337663 [0.86,0.592593]
weighted_recall
0.7142857142857143 [0.84,0.481481]
weighted_recall
0.7402597402597403 [0.82,0.592593]
weighted_recall
0.7402597402597403 [0.92,0.407407]
weighted_recall
0.6753246753246753 [0.78,0.481481]
weighted_recall
0.7532467532467533 [0.82,0.62963]
weighted_recall
0.8181818181818182 [0.92,0.62963]
weighted_recall
0.8311688311688312 [0.94,0.62963]
weighted_recall
0.7894736842105263 [0.9,0.576923]
weighted_recall
0.7631578947368421 [0.84,0.615385]