10591103
32117
VAIBHAV JAISWAL
34539
Supervised Classification
19176
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neural_network._multilayer_perceptron.MLPClassifier)(1)
8304413
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
19176
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"}}]
19176
verbose
false
19176
activation
"relu"
19177
alpha
0.0001
19177
batch_size
"auto"
19177
beta_1
0.9
19177
beta_2
0.999
19177
early_stopping
false
19177
epsilon
1e-08
19177
hidden_layer_sizes
[100]
19177
learning_rate
"constant"
19177
learning_rate_init
0.001
19177
max_fun
15000
19177
max_iter
5000
19177
momentum
0.9
19177
n_iter_no_change
10
19177
nesterovs_momentum
true
19177
power_t
0.5
19177
random_state
50171
19177
shuffle
true
19177
solver
"adam"
19177
tol
0.0001
19177
validation_fraction
0.1
19177
verbose
false
19177
warm_start
false
19177
openml-python
Sklearn_1.0.2.
4135
Amazon_employee_access
https://www.openml.org/data/download/1681098/phpmPOD5A
-1
22109802
description
https://api.openml.org/data/download/22109802/description.xml
-1
22109803
predictions
https://api.openml.org/data/download/22109803/predictions.arff
area_under_roc_curve
0.6667819020580906 [0.666782,0.666782]
average_cost
0
f_measure
0.9146778158345736 [0.012468,0.970116]
kappa
0.01080164822699373
kb_relative_information_score
-0.44019409170064283
mean_absolute_error
0.10483982482837913
mean_prior_absolute_error
0.10910149339756714
weighted_recall
0.9419878543745613 [0.006326,0.999482]
number_of_instances
32769 [1897,30872]
precision
0.9126797910953074 [0.428571,0.942427]
predictive_accuracy
0.9419878543745613
prior_entropy
0.3190117574285477
relative_absolute_error
0.9609384946394965
root_mean_prior_squared_error
0.23353547592409915
root_mean_squared_error
0.2304442453117764
root_relative_squared_error
0.9867633360623658
total_cost
0
unweighted_recall
0.5029037542809441 [0.006326,0.999482]
area_under_roc_curve
0.6354192367793403 [0.635419,0.635419]
area_under_roc_curve
0.6902551607862488 [0.690255,0.690255]
area_under_roc_curve
0.6661347245665185 [0.666135,0.666135]
area_under_roc_curve
0.649426286805449 [0.649426,0.649426]
area_under_roc_curve
0.6670707380696639 [0.667071,0.667071]
area_under_roc_curve
0.638293011440165 [0.638293,0.638293]
area_under_roc_curve
0.6773430174074644 [0.677343,0.677343]
area_under_roc_curve
0.6797674458254479 [0.679767,0.679767]
area_under_roc_curve
0.6872572587932416 [0.687257,0.687257]
area_under_roc_curve
0.6882728904108883 [0.688273,0.688273]
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
0.9141917641325068 [0,0.970145]
f_measure
0.9140392482074835 [0,0.969983]
f_measure
0.914490833070082 [0.010417,0.970135]
f_measure
0.9149147944916901 [0.020513,0.969964]
f_measure
0.914490833070082 [0.010417,0.970135]
f_measure
0.9141795270236219 [0.010309,0.969811]
f_measure
0.9153909295640813 [0.020833,0.97045]
f_measure
0.9153909295640813 [0.020833,0.97045]
f_measure
0.9158057390519864 [0.030769,0.970278]
f_measure
0.9138606676342524 [0,0.969811]
kappa
-0.000607470928176124
kappa
-0.001209307831228121
kappa
0.009219889755962208
kappa
0.017591800538363508
kappa
0.009219889755962208
kappa
0.00793733385050583
kappa
0.01964915407431908
kappa
0.01964915407431908
kappa
0.027878797391365395
kappa
-0.0018061408789897242
kb_relative_information_score
-0.46367824647690875
kb_relative_information_score
-0.33074319826441206
kb_relative_information_score
-0.6100707431080048
kb_relative_information_score
-0.431665915497208
kb_relative_information_score
-0.35675517561582176
kb_relative_information_score
-0.38221952159149064
kb_relative_information_score
-0.37118841863187674
kb_relative_information_score
-0.5649335992512391
kb_relative_information_score
-0.3738364546642358
kb_relative_information_score
-0.5168200333837707
mean_absolute_error
0.10688798122755679
mean_absolute_error
0.10029591686593944
mean_absolute_error
0.10985386180829795
mean_absolute_error
0.10431961991141206
mean_absolute_error
0.10273719958395648
mean_absolute_error
0.10172710101678996
mean_absolute_error
0.10277603793316197
mean_absolute_error
0.10930003003831769
mean_absolute_error
0.10291486530542665
mean_absolute_error
0.10758647275219722
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
0.8879603765169831 [0,0.942308]
precision
0.8879437765411019 [0,0.94229]
precision
0.9166461597951954 [0.5,0.94229]
precision
0.911086232637192 [0.4,0.942543]
precision
0.9166461597951954 [0.5,0.94229]
precision
0.9021179752668866 [0.25,0.942255]
precision
0.9459237293465675 [1,0.942595]
precision
0.9459237293465675 [1,0.942595]
precision
0.9229701080286177 [0.6,0.942848]
precision
0.8878939575548191 [0,0.942255]
predictive_accuracy
0.9420201403722918
predictive_accuracy
0.9417149832163564
predictive_accuracy
0.9420201403722918
predictive_accuracy
0.9417149832163564
predictive_accuracy
0.9420201403722918
predictive_accuracy
0.9414098260604211
predictive_accuracy
0.9426304546841624
predictive_accuracy
0.9426304546841624
predictive_accuracy
0.942325297528227
predictive_accuracy
0.9413919413919415
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
0.9814244442202074
relative_absolute_error
0.9208974043410391
relative_absolute_error
1.0061639685619477
relative_absolute_error
0.9554752199072152
relative_absolute_error
0.9409816528136503
relative_absolute_error
0.9317300455760953
relative_absolute_error
0.9413373776550504
relative_absolute_error
1.0010913606223975
relative_absolute_error
0.9426089132890606
relative_absolute_error
0.9876966912431264
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
0.23064837508880057
root_mean_squared_error
0.22977154166307812
root_mean_squared_error
0.23073797563058673
root_mean_squared_error
0.2315191312936088
root_mean_squared_error
0.23021322769383587
root_mean_squared_error
0.23241975525209996
root_mean_squared_error
0.2285458642244285
root_mean_squared_error
0.2304865131382823
root_mean_squared_error
0.22889373953782638
root_mean_squared_error
0.23117999079658502
root_relative_squared_error
0.9893661744565599
root_relative_squared_error
0.9856049975928225
root_relative_squared_error
0.9873028451357737
root_relative_squared_error
0.9906453257416986
root_relative_squared_error
0.9850575054619842
root_relative_squared_error
0.9944989982643325
root_relative_squared_error
0.9779230374892873
root_relative_squared_error
0.9862268643249922
root_relative_squared_error
0.9794115583352017
root_relative_squared_error
0.9915045616014722
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
0.4998380829015544 [0,0.999676]
unweighted_recall
0.4996761658031088 [0,0.999352]
unweighted_recall
0.5024696093976437 [0.005263,0.999676]
unweighted_recall
0.5047772492455629 [0.010526,0.999028]
unweighted_recall
0.5024696093976437 [0.005263,0.999676]
unweighted_recall
0.5021456702981945 [0.005263,0.999028]
unweighted_recall
0.5052631578947369 [0.010526,1]
unweighted_recall
0.5052631578947369 [0.010526,1]
unweighted_recall
0.507570797742656 [0.015789,0.999352]
unweighted_recall
0.49951409135082603 [0,0.999028]
usercpu_time_millis
19531.25
usercpu_time_millis
47078.125
usercpu_time_millis
40703.125
usercpu_time_millis
45906.25
usercpu_time_millis
24390.625
usercpu_time_millis
41296.875
usercpu_time_millis
34718.75
usercpu_time_millis
28312.5
usercpu_time_millis
38765.625
usercpu_time_millis
25625
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
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_training
19515.625
usercpu_time_millis_training
47062.5
usercpu_time_millis_training
40671.875
usercpu_time_millis_training
45890.625
usercpu_time_millis_training
24359.375
usercpu_time_millis_training
41281.25
usercpu_time_millis_training
34703.125
usercpu_time_millis_training
28296.875
usercpu_time_millis_training
38734.375
usercpu_time_millis_training
25609.375
wall_clock_time_millis
19206.976175308228
wall_clock_time_millis
46358.68811607361
wall_clock_time_millis
40330.24287223816
wall_clock_time_millis
44843.37377548218
wall_clock_time_millis
24046.140909194946
wall_clock_time_millis
40680.036783218384
wall_clock_time_millis
34544.67988014221
wall_clock_time_millis
28142.526865005493
wall_clock_time_millis
38101.834774017334
wall_clock_time_millis
25328.521490097046
wall_clock_time_millis_testing
19.987821578979492
wall_clock_time_millis_testing
17.006874084472656
wall_clock_time_millis_testing
53.96771430969238
wall_clock_time_millis_testing
18.012523651123047
wall_clock_time_millis_testing
18.987655639648438
wall_clock_time_millis_testing
18.98956298828125
wall_clock_time_millis_testing
24.985790252685547
wall_clock_time_millis_testing
16.993045806884766
wall_clock_time_millis_testing
20.986557006835938
wall_clock_time_millis_testing
19.96636390686035
wall_clock_time_millis_training
19186.988353729248
wall_clock_time_millis_training
46341.681241989136
wall_clock_time_millis_training
40276.27515792847
wall_clock_time_millis_training
44825.361251831055
wall_clock_time_millis_training
24027.153253555298
wall_clock_time_millis_training
40661.0472202301
wall_clock_time_millis_training
34519.69408988953
wall_clock_time_millis_training
28125.53381919861
wall_clock_time_millis_training
38080.8482170105
wall_clock_time_millis_training
25308.555126190186
weighted_recall
0.9420201403722918 [0,0.999676]
weighted_recall
0.9417149832163564 [0,0.999352]
weighted_recall
0.9420201403722918 [0.005263,0.999676]
weighted_recall
0.9417149832163564 [0.010526,0.999028]
weighted_recall
0.9420201403722918 [0.005263,0.999676]
weighted_recall
0.9414098260604211 [0.005263,0.999028]
weighted_recall
0.9426304546841623 [0.010526,1]
weighted_recall
0.9426304546841623 [0.010526,1]
weighted_recall
0.942325297528227 [0.015789,0.999352]
weighted_recall
0.9413919413919414 [0,0.999028]