10591058
32117
VAIBHAV JAISWAL
34539
Supervised Classification
19161
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neighbors._classification.KNeighborsClassifier)(1)
8304079
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
algorithm
"auto"
19154
leaf_size
30
19154
metric
"minkowski"
19154
metric_params
null
19154
n_jobs
null
19154
n_neighbors
5
19154
p
2
19154
weights
"uniform"
19154
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
19161
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"}}]
19161
verbose
false
19161
openml-python
Sklearn_1.0.2.
4135
Amazon_employee_access
https://www.openml.org/data/download/1681098/phpmPOD5A
-1
22109712
description
https://api.openml.org/data/download/22109712/description.xml
-1
22109713
predictions
https://api.openml.org/data/download/22109713/predictions.arff
area_under_roc_curve
0.7060310786538064 [0.706031,0.706031]
average_cost
0
f_measure
0.9218045940899435 [0.177062,0.967567]
kappa
0.15388224354736602
kb_relative_information_score
-0.6735097748429284
mean_absolute_error
0.09176966034971769
mean_prior_absolute_error
0.10910149339756714
weighted_recall
0.9375934572309195 [0.115973,0.98808]
number_of_instances
32769 [1897,30872]
precision
0.9146747185107625 [0.37415,0.947889]
predictive_accuracy
0.9375934572309194
prior_entropy
0.3190117574285477
relative_absolute_error
0.8411402767449567
root_mean_prior_squared_error
0.23353547592409915
root_mean_squared_error
0.23388655464369784
root_relative_squared_error
1.0015033207190875
total_cost
0
unweighted_recall
0.5520262008602391 [0.115973,0.98808]
area_under_roc_curve
0.7035494969432793 [0.703549,0.703549]
area_under_roc_curve
0.7268338610631357 [0.726834,0.726834]
area_under_roc_curve
0.7015719571036434 [0.701572,0.701572]
area_under_roc_curve
0.7045641314169779 [0.704564,0.704564]
area_under_roc_curve
0.6887593132491092 [0.688759,0.688759]
area_under_roc_curve
0.693764172335601 [0.693764,0.693764]
area_under_roc_curve
0.7155115680357356 [0.715512,0.715512]
area_under_roc_curve
0.715805670639183 [0.715806,0.715806]
area_under_roc_curve
0.7039972379929416 [0.703997,0.703997]
area_under_roc_curve
0.7061915217082044 [0.706192,0.706192]
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
0.918622423543374 [0.160305,0.965035]
f_measure
0.9234494346438553 [0.182573,0.968795]
f_measure
0.9212465822152315 [0.175299,0.967158]
f_measure
0.9239646606887232 [0.195918,0.968775]
f_measure
0.923764484127455 [0.195122,0.968611]
f_measure
0.9180153941042345 [0.142857,0.965725]
f_measure
0.9230118715943412 [0.181818,0.968631]
f_measure
0.9233651016409542 [0.193548,0.968284]
f_measure
0.9191403691987687 [0.162791,0.965693]
f_measure
0.9236241103636541 [0.183333,0.968948]
kappa
0.13242195961394965
kappa
0.16170865899407932
kappa
0.15138356683642928
kappa
0.17442724418612027
kappa
0.1732992551556832
kappa
0.11768489387268649
kappa
0.16091062159079508
kappa
0.17106807511737113
kappa
0.13639635638693687
kappa
0.1628059799572862
kb_relative_information_score
-0.774977154146662
kb_relative_information_score
-0.6145040065229384
kb_relative_information_score
-0.6686375209034152
kb_relative_information_score
-0.5996619207816759
kb_relative_information_score
-0.67484414846972
kb_relative_information_score
-0.6572695262254677
kb_relative_information_score
-0.6360089319828371
kb_relative_information_score
-0.6428461109713206
kb_relative_information_score
-0.798636251091401
kb_relative_information_score
-0.6678532160511239
mean_absolute_error
0.0962465669819959
mean_absolute_error
0.0886176380836134
mean_absolute_error
0.09191333536771464
mean_absolute_error
0.08819041806530396
mean_absolute_error
0.0916081782117794
mean_absolute_error
0.09209642966127583
mean_absolute_error
0.08983826670735463
mean_absolute_error
0.09111992676228284
mean_absolute_error
0.09716203844980174
mean_absolute_error
0.09090354090354116
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
0.9095063350678804 [0.287671,0.947566]
precision
0.9179297534413884 [0.423077,0.948217]
precision
0.9137209020854696 [0.360656,0.947761]
precision
0.9187868166529328 [0.436364,0.948479]
precision
0.9183199576637249 [0.428571,0.948463]
precision
0.9084556578544838 [0.290323,0.946501]
precision
0.9174774039041554 [0.423077,0.947907]
precision
0.9174329486115919 [0.413793,0.948431]
precision
0.9103147772726145 [0.308824,0.947336]
precision
0.9183991020379529 [0.431373,0.948217]
predictive_accuracy
0.9328654256942325
predictive_accuracy
0.9398840402807446
predictive_accuracy
0.9368324687213915
predictive_accuracy
0.9398840402807446
predictive_accuracy
0.9395788831248093
predictive_accuracy
0.9340860543179736
predictive_accuracy
0.9395788831248093
predictive_accuracy
0.9389685688129387
predictive_accuracy
0.9340860543179736
predictive_accuracy
0.9401709401709403
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
0.8837170692494648
relative_absolute_error
0.8136697428980504
relative_absolute_error
0.8418446539342268
relative_absolute_error
0.8077460324933327
relative_absolute_error
0.8390496849636624
relative_absolute_error
0.8435216353165661
relative_absolute_error
0.8228388649343847
relative_absolute_error
0.8345777346107575
relative_absolute_error
0.889918120227946
relative_absolute_error
0.8345391783548192
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
0.23806256950706248
root_mean_squared_error
0.22797887358020977
root_mean_squared_error
0.23576986135885833
root_mean_squared_error
0.23045509631809108
root_mean_squared_error
0.23481012528081288
root_mean_squared_error
0.23775472984875826
root_mean_squared_error
0.2306404028409648
root_mean_squared_error
0.23314071419466106
root_mean_squared_error
0.23793435138524632
root_mean_squared_error
0.2320740482224664
root_relative_squared_error
1.0211693604336944
root_relative_squared_error
0.9779153480883115
root_relative_squared_error
1.0088337400062153
root_relative_squared_error
0.9860924351488883
root_relative_squared_error
1.0047271331165424
root_relative_squared_error
1.017326777625805
root_relative_squared_error
0.9868853417207494
root_relative_squared_error
0.9975839036132306
root_relative_squared_error
1.0180953587557107
root_relative_squared_error
0.9953390717294488
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
0.5471358664363846 [0.111111,0.983161]
unweighted_recall
0.5533435452476902 [0.116402,0.990285]
unweighted_recall
0.5515779244028438 [0.115789,0.987366]
unweighted_recall
0.5581368386953779 [0.126316,0.989958]
unweighted_recall
0.5579748691456532 [0.126316,0.989634]
unweighted_recall
0.540241760864747 [0.094737,0.985747]
unweighted_recall
0.5530356503503657 [0.115789,0.990282]
unweighted_recall
0.5576509300462039 [0.126316,0.988986]
unweighted_recall
0.5476505890576782 [0.110526,0.984775]
unweighted_recall
0.5535039412590432 [0.116402,0.990606]
usercpu_time_millis
1109.375
usercpu_time_millis
1109.375
usercpu_time_millis
1156.25
usercpu_time_millis
1093.75
usercpu_time_millis
1125
usercpu_time_millis
1171.875
usercpu_time_millis
1140.625
usercpu_time_millis
1109.375
usercpu_time_millis
1078.125
usercpu_time_millis
1078.125
usercpu_time_millis_testing
781.25
usercpu_time_millis_testing
765.625
usercpu_time_millis_testing
812.5
usercpu_time_millis_testing
750
usercpu_time_millis_testing
796.875
usercpu_time_millis_testing
828.125
usercpu_time_millis_testing
796.875
usercpu_time_millis_testing
796.875
usercpu_time_millis_testing
750
usercpu_time_millis_testing
750
usercpu_time_millis_training
328.125
usercpu_time_millis_training
343.75
usercpu_time_millis_training
343.75
usercpu_time_millis_training
343.75
usercpu_time_millis_training
328.125
usercpu_time_millis_training
343.75
usercpu_time_millis_training
343.75
usercpu_time_millis_training
312.5
usercpu_time_millis_training
328.125
usercpu_time_millis_training
328.125
wall_clock_time_millis
1122.3549842834473
wall_clock_time_millis
1124.3724822998047
wall_clock_time_millis
1188.340187072754
wall_clock_time_millis
1110.337734222412
wall_clock_time_millis
1165.327787399292
wall_clock_time_millis
1183.3243370056152
wall_clock_time_millis
1132.3513984680176
wall_clock_time_millis
1170.3283786773682
wall_clock_time_millis
1121.3579177856445
wall_clock_time_millis
1075.3824710845947
wall_clock_time_millis_testing
780.552864074707
wall_clock_time_millis_testing
774.5563983917236
wall_clock_time_millis_testing
844.5165157318115
wall_clock_time_millis_testing
771.5580463409424
wall_clock_time_millis_testing
830.5244445800781
wall_clock_time_millis_testing
831.5043449401855
wall_clock_time_millis_testing
789.5472049713135
wall_clock_time_millis_testing
834.5184326171875
wall_clock_time_millis_testing
780.5554866790771
wall_clock_time_millis_testing
743.5512542724609
wall_clock_time_millis_training
341.80212020874023
wall_clock_time_millis_training
349.81608390808105
wall_clock_time_millis_training
343.8236713409424
wall_clock_time_millis_training
338.7796878814697
wall_clock_time_millis_training
334.80334281921387
wall_clock_time_millis_training
351.8199920654297
wall_clock_time_millis_training
342.8041934967041
wall_clock_time_millis_training
335.80994606018066
wall_clock_time_millis_training
340.8024311065674
wall_clock_time_millis_training
331.8312168121338
weighted_recall
0.9328654256942325 [0.111111,0.983161]
weighted_recall
0.9398840402807446 [0.116402,0.990285]
weighted_recall
0.9368324687213915 [0.115789,0.987366]
weighted_recall
0.9398840402807446 [0.126316,0.989958]
weighted_recall
0.9395788831248093 [0.126316,0.989634]
weighted_recall
0.9340860543179738 [0.094737,0.985747]
weighted_recall
0.9395788831248093 [0.115789,0.990282]
weighted_recall
0.9389685688129387 [0.126316,0.988986]
weighted_recall
0.9340860543179738 [0.110526,0.984775]
weighted_recall
0.9401709401709402 [0.116402,0.990606]