10591584
32117
VAIBHAV JAISWAL
34539
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)
8304109
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
0
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.
4135
Amazon_employee_access
https://www.openml.org/data/download/1681098/phpmPOD5A
-1
22110774
description
https://api.openml.org/data/download/22110774/description.xml
-1
22110775
predictions
https://api.openml.org/data/download/22110775/predictions.arff
area_under_roc_curve
0.834586135444148 [0.834586,0.834586]
average_cost
0
f_measure
0.9273857055858078 [0.19891,0.972149]
kappa
0.18585381375435692
kb_relative_information_score
-0.14027656603319158
mean_absolute_error
0.0888588199427474
mean_prior_absolute_error
0.10910149339756714
weighted_recall
0.9461686349903873 [0.115445,0.997214]
number_of_instances
32769 [1897,30872]
precision
0.9349810958644821 [0.718033,0.948312]
predictive_accuracy
0.9461686349903873
prior_entropy
0.3190117574285477
relative_absolute_error
0.8144601615941663
root_mean_prior_squared_error
0.23353547592409915
root_mean_squared_error
0.20801924136252692
root_relative_squared_error
0.8907393642845715
total_cost
0
unweighted_recall
0.5563298721962898 [0.115445,0.997214]
area_under_roc_curve
0.8364885749924609 [0.836489,0.836489]
area_under_roc_curve
0.8311633015324724 [0.831163,0.831163]
area_under_roc_curve
0.8404864201319624 [0.840486,0.840486]
area_under_roc_curve
0.835574480418734 [0.835574,0.835574]
area_under_roc_curve
0.8301041719946124 [0.830104,0.830104]
area_under_roc_curve
0.8312686478100012 [0.831269,0.831269]
area_under_roc_curve
0.8327272262288374 [0.832727,0.832727]
area_under_roc_curve
0.8159522957052495 [0.815952,0.815952]
area_under_roc_curve
0.8449857637290504 [0.844986,0.844986]
area_under_roc_curve
0.8498250900259323 [0.849825,0.849825]
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
0.9262069958984996 [0.176744,0.972078]
f_measure
0.9242123266386987 [0.144231,0.971951]
f_measure
0.9260118565337347 [0.193833,0.971076]
f_measure
0.930483348395114 [0.24,0.972982]
f_measure
0.9280574725239432 [0.208145,0.972367]
f_measure
0.926616085344635 [0.190909,0.971898]
f_measure
0.9270233459222325 [0.192661,0.972222]
f_measure
0.9280574725239432 [0.208145,0.972367]
f_measure
0.9280574725239432 [0.208145,0.972367]
f_measure
0.9288548863249705 [0.221239,0.972178]
kappa
0.16509794494816069
kappa
0.13511774317427572
kappa
0.17830174330895635
kappa
0.22603915610648823
kappa
0.1950516326355863
kappa
0.17790963159229856
kappa
0.18045431164084788
kappa
0.1950516326355863
kappa
0.1950516326355863
kappa
0.20624457935819543
kb_relative_information_score
-0.14147522436630336
kb_relative_information_score
-0.11453150587165695
kb_relative_information_score
-0.1930378544467694
kb_relative_information_score
-0.10059110529169075
kb_relative_information_score
-0.1259112354112989
kb_relative_information_score
-0.16575225370295943
kb_relative_information_score
-0.1154871767605595
kb_relative_information_score
-0.1732534350355978
kb_relative_information_score
-0.14625571948047256
kb_relative_information_score
-0.12632097408162576
mean_absolute_error
0.08946551882290193
mean_absolute_error
0.08813759351227787
mean_absolute_error
0.09105510010159686
mean_absolute_error
0.0875316455939026
mean_absolute_error
0.08795318315509518
mean_absolute_error
0.08863854145695114
mean_absolute_error
0.08802618439095078
mean_absolute_error
0.08947219723648406
mean_absolute_error
0.0893030531632982
mean_absolute_error
0.08900522667107258
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
0.9351964955253425 [0.730769,0.947708]
precision
0.9375311919446794 [0.789474,0.946593]
precision
0.9276491627422356 [0.594595,0.948148]
precision
0.9393849428031359 [0.771429,0.949722]
precision
0.9365724637616553 [0.741935,0.948552]
precision
0.9335757360682883 [0.7,0.947952]
precision
0.9365049108324028 [0.75,0.947984]
precision
0.9365724637616553 [0.741935,0.948552]
precision
0.9365724637616553 [0.741935,0.948552]
precision
0.9335771993999841 [0.675676,0.949367]
predictive_accuracy
0.9459871833994506
predictive_accuracy
0.9456820262435154
predictive_accuracy
0.9441562404638388
predictive_accuracy
0.9478181263350625
predictive_accuracy
0.9465974977113213
predictive_accuracy
0.9456820262435154
predictive_accuracy
0.946292340555386
predictive_accuracy
0.9465974977113213
predictive_accuracy
0.9465974977113213
predictive_accuracy
0.9462759462759464
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
0.8214548172699737
relative_absolute_error
0.8092620679544952
relative_absolute_error
0.8339839798796015
relative_absolute_error
0.8017122607779491
relative_absolute_error
0.8055731710680907
relative_absolute_error
0.8118504454172224
relative_absolute_error
0.8062417976595397
relative_absolute_error
0.8194859931689544
relative_absolute_error
0.8179367834358238
relative_absolute_error
0.8171117208094125
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
0.21073441683067692
root_mean_squared_error
0.20859459247164952
root_mean_squared_error
0.21047715779827447
root_mean_squared_error
0.20681579714399093
root_mean_squared_error
0.2052492042577441
root_mean_squared_error
0.20968571574541944
root_mean_squared_error
0.20702222158508912
root_mean_squared_error
0.20925414067475637
root_mean_squared_error
0.20621056057945766
root_mean_squared_error
0.20606326240686737
root_relative_squared_error
0.9039452531405437
root_relative_squared_error
0.8947664768353354
root_relative_squared_error
0.900608996687327
root_relative_squared_error
0.884942430396437
root_relative_squared_error
0.8782391488514988
root_relative_squared_error
0.8972225017317029
root_relative_squared_error
0.8858256982566358
root_relative_squared_error
0.8953758386759538
root_relative_squared_error
0.88235268858861
root_relative_squared_error
0.8837817838424633
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
0.5491311305754311 [0.100529,0.997733]
unweighted_recall
0.5390348712887573 [0.079365,0.998705]
unweighted_recall
0.5554651935962355 [0.115789,0.995141]
unweighted_recall
0.5697568751811501 [0.142105,0.997408]
unweighted_recall
0.5592305593916764 [0.121053,0.997408]
unweighted_recall
0.553805431947215 [0.110526,0.997085]
unweighted_recall
0.5541293710466643 [0.110526,0.997732]
unweighted_recall
0.5592305593916764 [0.121053,0.997408]
unweighted_recall
0.5592305593916764 [0.121053,0.997408]
unweighted_recall
0.5641939315408703 [0.132275,0.996113]
usercpu_time_millis
4843.75
usercpu_time_millis
4828.125
usercpu_time_millis
5171.875
usercpu_time_millis
5000
usercpu_time_millis
5625
usercpu_time_millis
5312.5
usercpu_time_millis
5765.625
usercpu_time_millis
5187.5
usercpu_time_millis
5140.625
usercpu_time_millis
5812.5
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
125
usercpu_time_millis_testing
125
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
125
usercpu_time_millis_testing
125
usercpu_time_millis_testing
171.875
usercpu_time_millis_testing
109.375
usercpu_time_millis_testing
125
usercpu_time_millis_testing
187.5
usercpu_time_millis_training
4781.25
usercpu_time_millis_training
4703.125
usercpu_time_millis_training
5046.875
usercpu_time_millis_training
4859.375
usercpu_time_millis_training
5500
usercpu_time_millis_training
5187.5
usercpu_time_millis_training
5593.75
usercpu_time_millis_training
5078.125
usercpu_time_millis_training
5015.625
usercpu_time_millis_training
5625
wall_clock_time_millis
1951.8589973449707
wall_clock_time_millis
1955.8777809143066
wall_clock_time_millis
1922.8973388671875
wall_clock_time_millis
1891.9157981872559
wall_clock_time_millis
1911.9040966033936
wall_clock_time_millis
1937.8907680511475
wall_clock_time_millis
1899.909496307373
wall_clock_time_millis
1970.8707332611084
wall_clock_time_millis
1948.882818222046
wall_clock_time_millis
1900.909423828125
wall_clock_time_millis_testing
58.96615982055664
wall_clock_time_millis_testing
50.97031593322754
wall_clock_time_millis_testing
50.97007751464844
wall_clock_time_millis_testing
45.972585678100586
wall_clock_time_millis_testing
46.97227478027344
wall_clock_time_millis_testing
53.969621658325195
wall_clock_time_millis_testing
46.97155952453613
wall_clock_time_millis_testing
49.970388412475586
wall_clock_time_millis_testing
47.97220230102539
wall_clock_time_millis_testing
48.97141456604004
wall_clock_time_millis_training
1892.892837524414
wall_clock_time_millis_training
1904.907464981079
wall_clock_time_millis_training
1871.927261352539
wall_clock_time_millis_training
1845.9432125091553
wall_clock_time_millis_training
1864.9318218231201
wall_clock_time_millis_training
1883.9211463928223
wall_clock_time_millis_training
1852.937936782837
wall_clock_time_millis_training
1920.9003448486328
wall_clock_time_millis_training
1900.9106159210205
wall_clock_time_millis_training
1851.938009262085
weighted_recall
0.9459871833994508 [0.100529,0.997733]
weighted_recall
0.9456820262435154 [0.079365,0.998705]
weighted_recall
0.9441562404638388 [0.115789,0.995141]
weighted_recall
0.9478181263350626 [0.142105,0.997408]
weighted_recall
0.9465974977113213 [0.121053,0.997408]
weighted_recall
0.9456820262435154 [0.110526,0.997085]
weighted_recall
0.946292340555386 [0.110526,0.997732]
weighted_recall
0.9465974977113213 [0.121053,0.997408]
weighted_recall
0.9465974977113213 [0.121053,0.997408]
weighted_recall
0.9462759462759462 [0.132275,0.996113]