10591561
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)
8304110
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
0
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
22110728
description
https://api.openml.org/data/download/22110728/description.xml
-1
22110729
predictions
https://api.openml.org/data/download/22110729/predictions.arff
area_under_roc_curve
0.6695200773223443 [0.66952,0.66952]
average_cost
0
f_measure
0.9146228075815129 [0.010433,0.970183]
kappa
0.009236194156947082
kb_relative_information_score
-0.46428107881366054
mean_absolute_error
0.10518853379532156
mean_prior_absolute_error
0.10910149339756714
weighted_recall
0.9421099209618847 [0.005271,0.999676]
number_of_instances
32769 [1897,30872]
precision
0.9167705114640236 [0.5,0.94238]
predictive_accuracy
0.9421099209618847
prior_entropy
0.3190117574285477
relative_absolute_error
0.9641346833999174
root_mean_prior_squared_error
0.23353547592409915
root_mean_squared_error
0.23024092879791183
root_relative_squared_error
0.9858927337992192
total_cost
0
unweighted_recall
0.5024737815863702 [0.005271,0.999676]
area_under_roc_curve
0.6709399073388711 [0.67094,0.67094]
area_under_roc_curve
0.6931182663047948 [0.693118,0.693118]
area_under_roc_curve
0.6623275876766747 [0.662328,0.662328]
area_under_roc_curve
0.6592024278383033 [0.659202,0.659202]
area_under_roc_curve
0.6710227950829455 [0.671023,0.671023]
area_under_roc_curve
0.6345284981160384 [0.634528,0.634528]
area_under_roc_curve
0.6645474229792168 [0.664547,0.664547]
area_under_roc_curve
0.6759210952551447 [0.675921,0.675921]
area_under_roc_curve
0.6860160605595623 [0.686016,0.686016]
area_under_roc_curve
0.689251563563193 [0.689252,0.689252]
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
0.9150950087205858 [0.010526,0.970459]
f_measure
0.9143351878968687 [0.010363,0.969973]
f_measure
0.9135907365760829 [0,0.969821]
f_measure
0.9143351878968687 [0.010363,0.969973]
f_measure
0.9135907365760829 [0,0.969821]
f_measure
0.9153909295640813 [0.020833,0.97045]
f_measure
0.9153909295640813 [0.020833,0.97045]
f_measure
0.9159674535439633 [0.030928,0.97044]
f_measure
0.9141658404468842 [0,0.970135]
kappa
0.009925239292119034
kappa
0
kappa
0.008575669112859946
kappa
-0.001209374562396564
kappa
0.008575669112859946
kappa
-0.001209374562396564
kappa
0.01964915407431908
kappa
0.01964915407431908
kappa
0.028605306061952687
kappa
-0.0006076564715424516
kb_relative_information_score
-0.5407807694169435
kb_relative_information_score
-0.37208144003895305
kb_relative_information_score
-0.6500083982862833
kb_relative_information_score
-0.4419043897636079
kb_relative_information_score
-0.430717367062696
kb_relative_information_score
-0.4243087659437675
kb_relative_information_score
-0.44067083511798594
kb_relative_information_score
-0.47989223785021273
kb_relative_information_score
-0.4028760910990857
kb_relative_information_score
-0.45949132312417845
mean_absolute_error
0.10761364731082085
mean_absolute_error
0.1016677198127462
mean_absolute_error
0.11123110949872543
mean_absolute_error
0.10462323911236235
mean_absolute_error
0.10498098961885506
mean_absolute_error
0.10333570338132864
mean_absolute_error
0.10444313519900188
mean_absolute_error
0.10534767905248338
mean_absolute_error
0.1035853432419099
mean_absolute_error
0.1050567315045668
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
0.9459227240734717 [1,0.942613]
precision
0.9069662451198002 [0.333333,0.942272]
precision
0.887368590243823 [0,0.941985]
precision
0.9069662451198002 [0.333333,0.942272]
precision
0.887368590243823 [0,0.941985]
precision
0.9459237293465675 [1,0.942595]
precision
0.9459237293465675 [1,0.942595]
precision
0.9316835360861623 [0.75,0.942866]
precision
0.8879271873165003 [0,0.94229]
predictive_accuracy
0.9426304546841624
predictive_accuracy
0.942325297528227
predictive_accuracy
0.9417149832163564
predictive_accuracy
0.9414098260604211
predictive_accuracy
0.9417149832163564
predictive_accuracy
0.9414098260604211
predictive_accuracy
0.9426304546841624
predictive_accuracy
0.9426304546841624
predictive_accuracy
0.9426304546841624
predictive_accuracy
0.942002442002442
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
0.9880873676310321
relative_absolute_error
0.933493029491665
relative_absolute_error
1.0187783362235188
relative_absolute_error
0.9582561025737969
relative_absolute_error
0.961532780001814
relative_absolute_error
0.9464634169141624
relative_absolute_error
0.9566065104225757
relative_absolute_error
0.9648913300763943
relative_absolute_error
0.948749896685552
relative_absolute_error
0.9644724233954308
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
0.229203392472899
root_mean_squared_error
0.2292236994920396
root_mean_squared_error
0.23113059398694002
root_mean_squared_error
0.23128056287043047
root_mean_squared_error
0.2304535026869764
root_mean_squared_error
0.23202780171981752
root_mean_squared_error
0.22911697299675104
root_mean_squared_error
0.23021995281107402
root_mean_squared_error
0.22874364885753184
root_mean_squared_error
0.23098488982383317
root_relative_squared_error
0.9831679217166465
root_relative_squared_error
0.9832550286725659
root_relative_squared_error
0.9889828166238688
root_relative_squared_error
0.9896245172583106
root_relative_squared_error
0.986085616173688
root_relative_squared_error
0.992821871486541
root_relative_squared_error
0.9803667501649102
root_relative_squared_error
0.985086281511375
root_relative_squared_error
0.9787693365454067
root_relative_squared_error
0.9906677958252048
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
0.5026455026455027 [0.005291,1]
unweighted_recall
0.5 [0,1]
unweighted_recall
0.5023076398479192 [0.005263,0.999352]
unweighted_recall
0.4996760609005507 [0,0.999352]
unweighted_recall
0.5023076398479192 [0.005263,0.999352]
unweighted_recall
0.4996760609005507 [0,0.999352]
unweighted_recall
0.5052631578947369 [0.010526,1]
unweighted_recall
0.5052631578947369 [0.010526,1]
unweighted_recall
0.5077327672923806 [0.015789,0.999676]
unweighted_recall
0.49983803045027536 [0,0.999676]
usercpu_time_millis
23671.875
usercpu_time_millis
38562.5
usercpu_time_millis
28625
usercpu_time_millis
27171.875
usercpu_time_millis
24546.875
usercpu_time_millis
40343.75
usercpu_time_millis
27906.25
usercpu_time_millis
27609.375
usercpu_time_millis
34375
usercpu_time_millis
34093.75
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
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_training
23656.25
usercpu_time_millis_training
38546.875
usercpu_time_millis_training
28609.375
usercpu_time_millis_training
27140.625
usercpu_time_millis_training
24515.625
usercpu_time_millis_training
40328.125
usercpu_time_millis_training
27875
usercpu_time_millis_training
27593.75
usercpu_time_millis_training
34359.375
usercpu_time_millis_training
34078.125
wall_clock_time_millis
23137.547254562378
wall_clock_time_millis
37385.01191139221
wall_clock_time_millis
28235.991716384888
wall_clock_time_millis
26493.596076965332
wall_clock_time_millis
24119.845628738403
wall_clock_time_millis
39427.642822265625
wall_clock_time_millis
27243.093490600586
wall_clock_time_millis
26913.431406021118
wall_clock_time_millis
33681.77843093872
wall_clock_time_millis
33133.84962081909
wall_clock_time_millis_testing
16.99090003967285
wall_clock_time_millis_testing
22.011280059814453
wall_clock_time_millis_testing
17.990827560424805
wall_clock_time_millis_testing
20.98679542541504
wall_clock_time_millis_testing
17.994403839111328
wall_clock_time_millis_testing
17.994403839111328
wall_clock_time_millis_testing
19.969701766967773
wall_clock_time_millis_testing
18.985986709594727
wall_clock_time_millis_testing
16.01433753967285
wall_clock_time_millis_testing
16.98756217956543
wall_clock_time_millis_training
23120.556354522705
wall_clock_time_millis_training
37363.0006313324
wall_clock_time_millis_training
28218.000888824463
wall_clock_time_millis_training
26472.609281539917
wall_clock_time_millis_training
24101.851224899292
wall_clock_time_millis_training
39409.648418426514
wall_clock_time_millis_training
27223.123788833618
wall_clock_time_millis_training
26894.445419311523
wall_clock_time_millis_training
33665.76409339905
wall_clock_time_millis_training
33116.86205863953
weighted_recall
0.9426304546841623 [0.005291,1]
weighted_recall
0.942325297528227 [0,1]
weighted_recall
0.9417149832163564 [0.005263,0.999352]
weighted_recall
0.9414098260604211 [0,0.999352]
weighted_recall
0.9417149832163564 [0.005263,0.999352]
weighted_recall
0.9414098260604211 [0,0.999352]
weighted_recall
0.9426304546841623 [0.010526,1]
weighted_recall
0.9426304546841623 [0.010526,1]
weighted_recall
0.9426304546841623 [0.015789,0.999676]
weighted_recall
0.942002442002442 [0,0.999676]