10591558
32117
VAIBHAV JAISWAL
34539
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.
4135
Amazon_employee_access
https://www.openml.org/data/download/1681098/phpmPOD5A
-1
22110722
description
https://api.openml.org/data/download/22110722/description.xml
-1
22110723
predictions
https://api.openml.org/data/download/22110723/predictions.arff
area_under_roc_curve
0.7587889895298464 [0.758789,0.758789]
average_cost
0
f_measure
0.9160907865132142 [0.030021,0.970537]
kappa
0.027981928463178117
kb_relative_information_score
-0.33462067134962403
mean_absolute_error
0.10231808109045373
mean_prior_absolute_error
0.10910149339756714
weighted_recall
0.9428118038389942 [0.015287,0.999806]
number_of_instances
32769 [1897,30872]
precision
0.9363134969181104 [0.828571,0.942934]
predictive_accuracy
0.9428118038389941
prior_entropy
0.3190117574285477
relative_absolute_error
0.9378247529353739
root_mean_prior_squared_error
0.23353547592409915
root_mean_squared_error
0.22388742576444573
root_relative_squared_error
0.9586870040987301
total_cost
0
unweighted_recall
0.5075464724309998 [0.015287,0.999806]
area_under_roc_curve
0.7650248786906818 [0.765025,0.765025]
area_under_roc_curve
0.7575844025002056 [0.757584,0.757584]
area_under_roc_curve
0.7702027176785501 [0.770203,0.770203]
area_under_roc_curve
0.7560823828278179 [0.756082,0.756082]
area_under_roc_curve
0.7335694678874056 [0.733569,0.733569]
area_under_roc_curve
0.7456038054319473 [0.745604,0.745604]
area_under_roc_curve
0.764124597207304 [0.764125,0.764125]
area_under_roc_curve
0.7522752459379742 [0.752275,0.752275]
area_under_roc_curve
0.777961059110361 [0.777961,0.777961]
area_under_roc_curve
0.7688111777842908 [0.768811,0.768811]
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
0.9165777254510373 [0.03125,0.970764]
f_measure
0.9150950087205858 [0.010526,0.970459]
f_measure
0.9175876281725792 [0.051282,0.970907]
f_measure
0.9166966836122827 [0.041026,0.970593]
f_measure
0.9159674535439633 [0.030928,0.97044]
f_measure
0.9166966836122827 [0.041026,0.970593]
f_measure
0.9168614168041339 [0.041237,0.970755]
f_measure
0.9161292153754683 [0.031088,0.970602]
f_measure
0.9152322016361684 [0.020725,0.970288]
f_measure
0.9140132780283701 [0,0.969973]
kappa
0.029500835920707184
kappa
0.009925239292119034
kappa
0.04845279109736918
kappa
0.038165794244367286
kappa
0.028605306061952687
kappa
0.038165794244367286
kappa
0.03893929216767705
kappa
0.029338482325157005
kappa
0.018957075719008475
kappa
-0.001209677419354981
kb_relative_information_score
-0.3243120053454577
kb_relative_information_score
-0.2907715904466352
kb_relative_information_score
-0.3800813531740204
kb_relative_information_score
-0.3222764343300051
kb_relative_information_score
-0.3804315687833179
kb_relative_information_score
-0.33817735721703973
kb_relative_information_score
-0.31402125933603525
kb_relative_information_score
-0.3520006281550171
kb_relative_information_score
-0.34004098012361217
kb_relative_information_score
-0.3037641455423438
mean_absolute_error
0.10164430977275571
mean_absolute_error
0.10148557374349039
mean_absolute_error
0.10344476234300508
mean_absolute_error
0.102261829391634
mean_absolute_error
0.10363903696352493
mean_absolute_error
0.1023608496655771
mean_absolute_error
0.10140951027530452
mean_absolute_error
0.10251605014531881
mean_absolute_error
0.10249128143875619
mean_absolute_error
0.1019274879728785
mean_prior_absolute_error
0.10891106478653569
mean_prior_absolute_error
0.10891106478653569
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10892663072181365
number_of_instances
3277 [189,3088]
number_of_instances
3277 [189,3088]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3276 [189,3087]
precision
0.9464653312949756 [1,0.943189]
precision
0.9459227240734717 [1,0.942613]
precision
0.9467378588114688 [1,0.94346]
precision
0.9348539834200432 [0.8,0.943154]
precision
0.9316835360861623 [0.75,0.942866]
precision
0.9348539834200432 [0.8,0.943154]
precision
0.9464663164958003 [1,0.943171]
precision
0.9461949400581495 [1,0.942883]
precision
0.9265805925889747 [0.666667,0.942578]
precision
0.8879105775104553 [0,0.942272]
predictive_accuracy
0.9432407689960329
predictive_accuracy
0.9426304546841624
predictive_accuracy
0.9435459261519682
predictive_accuracy
0.9429356118400976
predictive_accuracy
0.9426304546841624
predictive_accuracy
0.9429356118400976
predictive_accuracy
0.9432407689960329
predictive_accuracy
0.9429356118400976
predictive_accuracy
0.942325297528227
predictive_accuracy
0.9416971916971917
prior_entropy
0.31814512654009053
prior_entropy
0.31814512654009053
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3182159663170137
relative_absolute_error
0.9332780831036521
relative_absolute_error
0.9318206000685132
relative_absolute_error
0.9474623003023414
relative_absolute_error
0.9366276833548622
relative_absolute_error
0.9492416835662109
relative_absolute_error
0.9375346212645421
relative_absolute_error
0.9288211959865456
relative_absolute_error
0.9389561200452781
relative_absolute_error
0.9387292606551669
relative_absolute_error
0.9357444299657981
root_mean_prior_squared_error
0.2331274113100656
root_mean_prior_squared_error
0.2331274113100656
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23316079395861228
root_mean_squared_error
0.22269011454567922
root_mean_squared_error
0.22545643764256926
root_mean_squared_error
0.223105865118491
root_mean_squared_error
0.22397953645106883
root_mean_squared_error
0.2252168020776621
root_mean_squared_error
0.2266575590919515
root_mean_squared_error
0.2220260872148719
root_mean_squared_error
0.2244986171340258
root_mean_squared_error
0.2222293908108027
root_mean_squared_error
0.22296579248670972
root_relative_squared_error
0.9552292169087552
root_relative_squared_error
0.9670953594672155
root_relative_squared_error
0.954645869610225
root_relative_squared_error
0.9583842147613006
root_relative_squared_error
0.9636783405764633
root_relative_squared_error
0.969843184033505
root_relative_squared_error
0.9500256167305489
root_relative_squared_error
0.9606053048689774
root_relative_squared_error
0.9508955308317723
root_relative_squared_error
0.9562748037574781
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
0.5079365079365079 [0.015873,1]
unweighted_recall
0.5026455026455027 [0.005291,1]
unweighted_recall
0.5131578947368421 [0.026316,1]
unweighted_recall
0.510364346239749 [0.021053,0.999676]
unweighted_recall
0.5077327672923806 [0.015789,0.999676]
unweighted_recall
0.510364346239749 [0.021053,0.999676]
unweighted_recall
0.5105263157894737 [0.021053,1]
unweighted_recall
0.5078947368421053 [0.015789,1]
unweighted_recall
0.5051011883450122 [0.010526,0.999676]
unweighted_recall
0.4996760609005507 [0,0.999352]
usercpu_time_millis
5187.5
usercpu_time_millis
5250
usercpu_time_millis
4937.5
usercpu_time_millis
5031.25
usercpu_time_millis
5031.25
usercpu_time_millis
5031.25
usercpu_time_millis
5015.625
usercpu_time_millis
4937.5
usercpu_time_millis
4968.75
usercpu_time_millis
5156.25
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
31.25
usercpu_time_millis_training
5171.875
usercpu_time_millis_training
5218.75
usercpu_time_millis_training
4921.875
usercpu_time_millis_training
5015.625
usercpu_time_millis_training
5015.625
usercpu_time_millis_training
5015.625
usercpu_time_millis_training
5000
usercpu_time_millis_training
4921.875
usercpu_time_millis_training
4953.125
usercpu_time_millis_training
5125
wall_clock_time_millis
5224.007129669189
wall_clock_time_millis
5262.000560760498
wall_clock_time_millis
5000.131368637085
wall_clock_time_millis
5054.124116897583
wall_clock_time_millis
5074.090957641602
wall_clock_time_millis
5059.099912643433
wall_clock_time_millis
5075.084209442139
wall_clock_time_millis
4985.136985778809
wall_clock_time_millis
5020.121097564697
wall_clock_time_millis
5234.997987747192
wall_clock_time_millis_testing
19.98758316040039
wall_clock_time_millis_testing
23.98395538330078
wall_clock_time_millis_testing
17.987966537475586
wall_clock_time_millis_testing
19.006013870239258
wall_clock_time_millis_testing
16.989469528198242
wall_clock_time_millis_testing
20.989179611206055
wall_clock_time_millis_testing
17.986774444580078
wall_clock_time_millis_testing
19.986391067504883
wall_clock_time_millis_testing
17.990589141845703
wall_clock_time_millis_testing
23.986101150512695
wall_clock_time_millis_training
5204.019546508789
wall_clock_time_millis_training
5238.016605377197
wall_clock_time_millis_training
4982.143402099609
wall_clock_time_millis_training
5035.118103027344
wall_clock_time_millis_training
5057.101488113403
wall_clock_time_millis_training
5038.110733032227
wall_clock_time_millis_training
5057.097434997559
wall_clock_time_millis_training
4965.150594711304
wall_clock_time_millis_training
5002.130508422852
wall_clock_time_millis_training
5211.01188659668
weighted_recall
0.9432407689960329 [0.015873,1]
weighted_recall
0.9426304546841623 [0.005291,1]
weighted_recall
0.9435459261519683 [0.026316,1]
weighted_recall
0.9429356118400977 [0.021053,0.999676]
weighted_recall
0.9426304546841623 [0.015789,0.999676]
weighted_recall
0.9429356118400977 [0.021053,0.999676]
weighted_recall
0.9432407689960329 [0.021053,1]
weighted_recall
0.9429356118400977 [0.015789,1]
weighted_recall
0.942325297528227 [0.010526,0.999676]
weighted_recall
0.9416971916971917 [0,0.999352]