10591096
32117
VAIBHAV JAISWAL
34539
Supervised Classification
19163
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.naive_bayes.GaussianNB)(1)
8304081
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
19163
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"}}]
19163
verbose
false
19163
priors
null
19164
var_smoothing
1e-09
19164
openml-python
Sklearn_1.0.2.
4135
Amazon_employee_access
https://www.openml.org/data/download/1681098/phpmPOD5A
-1
22109788
description
https://api.openml.org/data/download/22109788/description.xml
-1
22109789
predictions
https://api.openml.org/data/download/22109789/predictions.arff
area_under_roc_curve
0.5609948397281684 [0.561,0.560995]
average_cost
0
f_measure
0.9024262765355535 [0.066624,0.953784]
kappa
0.022901453464471765
kb_relative_information_score
-2.2270385067416787
mean_absolute_error
0.1599330300944636
mean_prior_absolute_error
0.10910149339756714
weighted_recall
0.9119289572461778 [0.054296,0.964628]
number_of_instances
32769 [1897,30872]
precision
0.8935699588609207 [0.086192,0.943181]
predictive_accuracy
0.9119289572461778
prior_entropy
0.3190117574285477
relative_absolute_error
1.4659105491037208
root_mean_prior_squared_error
0.23353547592409915
root_mean_squared_error
0.27436638421051485
root_relative_squared_error
1.1748381402219423
total_cost
0
unweighted_recall
0.5094621996269938 [0.054296,0.964628]
area_under_roc_curve
0.5858573816195907 [0.585861,0.585857]
area_under_roc_curve
0.602316729053348 [0.602326,0.602316]
area_under_roc_curve
0.5420422669064949 [0.542058,0.542041]
area_under_roc_curve
0.5465910910395088 [0.546621,0.546589]
area_under_roc_curve
0.5620902796413394 [0.562113,0.562089]
area_under_roc_curve
0.5778458022312023 [0.577815,0.577848]
area_under_roc_curve
0.5800318230117006 [0.58002,0.580033]
area_under_roc_curve
0.5803027978108537 [0.580303,0.580303]
area_under_roc_curve
0.5909334860570681 [0.590967,0.590931]
area_under_roc_curve
0.6003462338091428 [0.600369,0.600345]
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
0.9058711590370853 [0.080808,0.956369]
f_measure
0.9040307483946785 [0.099071,0.953298]
f_measure
0.9021317075853881 [0.080997,0.952671]
f_measure
0.89863004168686 [0.032258,0.951954]
f_measure
0.9031699692626856 [0.08254,0.953678]
f_measure
0.9021666169096378 [0.053156,0.954422]
f_measure
0.904732157062626 [0.068027,0.95623]
f_measure
0.8978091371111385 [0.031746,0.951114]
f_measure
0.9020007118340124 [0.070064,0.953205]
f_measure
0.903611451859399 [0.066225,0.95488]
kappa
0.04056432282869338
kappa
0.05379140500427145
kappa
0.035346464605138544
kappa
-0.013223123460480735
kappa
0.038285664962351654
kappa
0.01085790359427151
kappa
0.02816267244495641
kappa
-0.014958035247345163
kappa
0.025435449932678406
kappa
0.024091574604019797
kb_relative_information_score
-2.080702985351503
kb_relative_information_score
-2.091180216882428
kb_relative_information_score
-2.3309084125801043
kb_relative_information_score
-2.1021336110175532
kb_relative_information_score
-2.586245276460172
kb_relative_information_score
-2.131402913758718
kb_relative_information_score
-2.245782216319697
kb_relative_information_score
-1.8327569725082602
kb_relative_information_score
-2.769586391071654
kb_relative_information_score
-2.0980947713645115
mean_absolute_error
0.15389039662391732
mean_absolute_error
0.1541468669904923
mean_absolute_error
0.16355413723354856
mean_absolute_error
0.15959998994525937
mean_absolute_error
0.1676529272436159
mean_absolute_error
0.15737337164527143
mean_absolute_error
0.1579894233359858
mean_absolute_error
0.15504908574917903
mean_absolute_error
0.1737381304510447
mean_absolute_error
0.15633487372316415
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
0.8961013549305125 [0.111111,0.944146]
precision
0.8973434624875567 [0.119403,0.944957]
precision
0.8947740052200366 [0.099237,0.943738]
precision
0.8892336473091476 [0.041667,0.9414]
precision
0.8951510721549518 [0.104,0.943845]
precision
0.8920461003435219 [0.072072,0.942514]
precision
0.894155597953742 [0.096154,0.943271]
precision
0.8890494470769197 [0.04,0.941307]
precision
0.8936837798036691 [0.08871,0.943229]
precision
0.8940862771059264 [0.088496,0.943408]
predictive_accuracy
0.9166920964296612
predictive_accuracy
0.9111992676228258
predictive_accuracy
0.9099786389990845
predictive_accuracy
0.9084528532194079
predictive_accuracy
0.9118095819346963
predictive_accuracy
0.9130302105584376
predictive_accuracy
0.916386939273726
predictive_accuracy
0.9069270674397315
predictive_accuracy
0.9108941104668905
predictive_accuracy
0.9139194139194139
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
1.4129913882078058
relative_absolute_error
1.4153462487270527
relative_absolute_error
1.4980108763113342
relative_absolute_error
1.461794393227596
relative_absolute_error
1.5355521584742513
relative_absolute_error
1.4414005439053204
relative_absolute_error
1.447043031149421
relative_absolute_error
1.4201121460029698
relative_absolute_error
1.5912872242052765
relative_absolute_error
1.4352309686547253
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
0.2667873503813661
root_mean_squared_error
0.26447397675478657
root_mean_squared_error
0.2782363370693458
root_mean_squared_error
0.28250733381940113
root_mean_squared_error
0.2728389763221172
root_mean_squared_error
0.27480194330378926
root_mean_squared_error
0.2688617348118958
root_mean_squared_error
0.2840783847531426
root_mean_squared_error
0.2775713620643021
root_mean_squared_error
0.27282009604831176
root_relative_squared_error
1.1443843041972095
root_relative_squared_error
1.1344610883317758
root_relative_squared_error
1.1905431971394416
root_relative_squared_error
1.2088183303565516
root_relative_squared_error
1.1674484741862747
root_relative_squared_error
1.1758477976206418
root_relative_squared_error
1.1504302878729806
root_relative_squared_error
1.215540687404615
root_relative_squared_error
1.1876978410049364
root_relative_squared_error
1.1700942144533066
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
0.5162019902952546 [0.063492,0.968912]
unweighted_recall
0.523221824711462 [0.084656,0.961788]
unweighted_recall
0.5150981194482805 [0.068421,0.961775]
unweighted_recall
0.49453139651850714 [0.026316,0.962747]
unweighted_recall
0.5160699367466285 [0.068421,0.963719]
unweighted_recall
0.5043697679573083 [0.042105,0.966634]
unweighted_recall
0.5110906517995669 [0.052632,0.96955]
unweighted_recall
0.4937215487698839 [0.026316,0.961127]
unweighted_recall
0.5106448093021669 [0.057895,0.963395]
unweighted_recall
0.5097721628333873 [0.05291,0.966634]
usercpu_time_millis
234.375
usercpu_time_millis
250
usercpu_time_millis
234.375
usercpu_time_millis
250
usercpu_time_millis
250
usercpu_time_millis
250
usercpu_time_millis
250
usercpu_time_millis
250
usercpu_time_millis
250
usercpu_time_millis
234.375
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
218.75
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
250
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
218.75
wall_clock_time_millis
251.85561180114746
wall_clock_time_millis
248.85797500610352
wall_clock_time_millis
239.8843765258789
wall_clock_time_millis
243.83831024169922
wall_clock_time_millis
246.83856964111328
wall_clock_time_millis
249.8774528503418
wall_clock_time_millis
251.83343887329102
wall_clock_time_millis
243.8793182373047
wall_clock_time_millis
250.8540153503418
wall_clock_time_millis
243.85929107666016
wall_clock_time_millis_testing
16.011714935302734
wall_clock_time_millis_testing
17.969846725463867
wall_clock_time_millis_testing
13.010740280151367
wall_clock_time_millis_testing
12.994527816772461
wall_clock_time_millis_testing
12.974262237548828
wall_clock_time_millis_testing
12.991666793823242
wall_clock_time_millis_testing
12.993812561035156
wall_clock_time_millis_testing
15.01321792602539
wall_clock_time_millis_testing
22.009849548339844
wall_clock_time_millis_testing
14.99176025390625
wall_clock_time_millis_training
235.84389686584473
wall_clock_time_millis_training
230.88812828063965
wall_clock_time_millis_training
226.87363624572754
wall_clock_time_millis_training
230.84378242492676
wall_clock_time_millis_training
233.86430740356445
wall_clock_time_millis_training
236.88578605651855
wall_clock_time_millis_training
238.83962631225586
wall_clock_time_millis_training
228.8661003112793
wall_clock_time_millis_training
228.84416580200195
wall_clock_time_millis_training
228.8675308227539
weighted_recall
0.9166920964296613 [0.063492,0.968912]
weighted_recall
0.9111992676228258 [0.084656,0.961788]
weighted_recall
0.9099786389990845 [0.068421,0.961775]
weighted_recall
0.9084528532194079 [0.026316,0.962747]
weighted_recall
0.9118095819346964 [0.068421,0.963719]
weighted_recall
0.9130302105584376 [0.042105,0.966634]
weighted_recall
0.9163869392737259 [0.052632,0.96955]
weighted_recall
0.9069270674397315 [0.026316,0.961127]
weighted_recall
0.9108941104668904 [0.057895,0.963395]
weighted_recall
0.9139194139194139 [0.05291,0.966634]