10435711
10963
Nelly Palacios
28
Supervised Classification
17488
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=xgboost.sklearn.XGBClassifier)(1)
8259290
add_indicator
false
17407
copy
true
17407
fill_value
-1
17407
missing_values
NaN
17407
strategy
"constant"
17407
verbose
0
17407
memory
null
17488
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
17488
verbose
false
17488
base_score
0.5
17489
booster
"gbtree"
17489
colsample_bylevel
1
17489
colsample_bynode
1
17489
colsample_bytree
1
17489
gamma
0
17489
learning_rate
0.1
17489
max_delta_step
0
17489
max_depth
3
17489
min_child_weight
1
17489
missing
null
17489
n_estimators
100
17489
n_jobs
1
17489
nthread
null
17489
objective
"multi:softprob"
17489
random_state
42
17489
reg_alpha
0
17489
reg_lambda
1
17489
scale_pos_weight
1
17489
seed
null
17489
silent
null
17489
subsample
1
17489
verbosity
1
17489
openml-python
Sklearn_0.21.2.
28
optdigits
https://www.openml.org/data/download/28/dataset_28_optdigits.arff
-1
21794326
description
https://api.openml.org/data/download/21794326/description.xml
-1
21794327
predictions
https://api.openml.org/data/download/21794327/predictions.arff
area_under_roc_curve
0.9994369636287751 [0.999932,0.9996,0.999932,0.999495,0.999554,0.999449,0.999728,0.99972,0.999115,0.997846]
average_cost
0
f_measure
0.9759931271188796 [0.990975,0.969802,0.991899,0.973684,0.98153,0.977498,0.985663,0.983201,0.958904,0.946996]
kappa
0.9733089775554781
kb_relative_information_score
0.9626406574077899
mean_absolute_error
0.011519158194735183
mean_prior_absolute_error
0.17999735782507298
weighted_recall
0.9759786476868327 [0.990975,0.984238,0.989228,0.97028,0.982394,0.973118,0.985663,0.982332,0.947653,0.953737]
number_of_instances
5620 [554,571,557,572,568,558,558,566,554,562]
precision
0.9760942371399919 [0.990975,0.955782,0.994585,0.977113,0.980668,0.981917,0.985663,0.984071,0.970425,0.940351]
predictive_accuracy
0.9759786476868328
prior_entropy
3.3218327251668773
relative_absolute_error
0.06399626268919935
root_mean_prior_squared_error
0.2999977942685968
root_mean_squared_error
0.06288624721745739
root_relative_squared_error
0.20962236529363779
total_cost
0
unweighted_recall
0.9759618603425444 [0.990975,0.984238,0.989228,0.97028,0.982394,0.973118,0.985663,0.982332,0.947653,0.953737]
area_under_roc_curve
0.99960215197873 [1,0.999757,0.999965,0.999453,0.99861,1,0.999788,0.999929,0.999641,0.998906]
area_under_roc_curve
0.9997077239178082 [1,0.999896,1,0.999008,0.999861,0.999859,1,0.999718,0.999749,0.999012]
area_under_roc_curve
0.9996729006650266 [1,1,1,0.999479,0.999896,1,1,1,0.999677,0.997671]
area_under_roc_curve
0.9995918466606674 [1,0.999548,0.999647,0.999062,1,1,1,0.999965,0.999749,0.997953]
area_under_roc_curve
0.9997467053505004 [0.999857,0.999826,1,1,0.999965,0.999426,0.999824,1,0.999785,0.998784]
area_under_roc_curve
0.9986180581615856 [0.999749,0.999687,1,0.999236,0.998298,0.997095,0.998553,0.999062,0.996701,0.997742]
area_under_roc_curve
0.9997291164158122 [0.999965,0.999861,1,0.999653,1,0.999788,0.999892,0.999826,0.999929,0.998377]
area_under_roc_curve
0.9993913146536687 [0.999965,0.999826,1,0.999236,0.999618,0.999647,1,0.999687,0.999435,0.996506]
area_under_roc_curve
0.9987968893161365 [1,0.998905,0.999785,0.999722,0.999965,0.999224,1,0.999471,0.996683,0.994212]
area_under_roc_curve
0.9997502643657528 [0.999894,0.999722,0.999965,0.999965,0.999965,0.999929,0.999541,1,0.999329,0.999188]
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
0.9785817696166609 [1,0.965517,0.99115,0.964912,0.964286,1,0.973451,0.99115,0.972973,0.963636]
f_measure
0.98223593713176 [1,0.982143,0.99115,0.973913,0.982456,0.973913,1,0.981818,0.981818,0.955752]
f_measure
0.9857291169840281 [0.990826,0.991304,0.990991,0.973913,0.982759,1,1,0.991304,0.972477,0.963636]
f_measure
0.9770898486537956 [1,0.964912,0.990991,0.973451,0.991304,0.990991,0.99115,0.972973,0.972477,0.923077]
f_measure
0.9785408128720922 [0.990826,0.974359,1,1,0.974359,0.981818,0.972477,0.982759,0.972477,0.936937]
f_measure
0.9606000009195967 [0.981818,0.95,1,0.964912,0.956522,0.943396,0.973451,0.99115,0.895238,0.948276]
f_measure
0.9787861072206165 [0.990991,0.973451,1,0.982143,1,0.955752,0.981818,0.982456,0.982143,0.93913]
f_measure
0.9733080602028269 [0.99115,0.973913,0.990826,0.947368,0.982143,0.982143,0.990991,0.964912,0.954955,0.955752]
f_measure
0.9698309564115972 [0.99115,0.966102,0.981481,0.973913,0.990991,0.972477,1,0.973451,0.927273,0.921739]
f_measure
0.9751209563738591 [0.973451,0.957983,0.982143,0.982456,0.990991,0.972973,0.972973,1,0.954128,0.964286]
kappa
0.9762749905895017
kappa
0.9802290892716424
kappa
0.9841827706185114
kappa
0.9742978160531353
kappa
0.9762739889883727
kappa
0.9565007828029624
kappa
0.9762749905895017
kappa
0.9703435295773162
kappa
0.9663883875643366
kappa
0.9723204328538309
kb_relative_information_score
0.9631446388895304
kb_relative_information_score
0.9670767227374472
kb_relative_information_score
0.9690917823727716
kb_relative_information_score
0.9638496288172465
kb_relative_information_score
0.9667909903033286
kb_relative_information_score
0.9487519465610447
kb_relative_information_score
0.9647891548369865
kb_relative_information_score
0.9599582883832727
kb_relative_information_score
0.9571424983685926
kb_relative_information_score
0.9658108925316832
mean_absolute_error
0.011253852364927035
mean_absolute_error
0.010740416208836302
mean_absolute_error
0.010527124766287388
mean_absolute_error
0.011658861488972062
mean_absolute_error
0.01029143163300408
mean_absolute_error
0.014505243497442437
mean_absolute_error
0.011283272380531494
mean_absolute_error
0.011819146486843415
mean_absolute_error
0.012523560342798218
mean_absolute_error
0.010588672777709257
mean_prior_absolute_error
0.17999677629374952
mean_prior_absolute_error
0.17999677629374952
mean_prior_absolute_error
0.17999715555330845
mean_prior_absolute_error
0.17999715555330845
mean_prior_absolute_error
0.1799969027136025
mean_prior_absolute_error
0.1799969027136025
mean_prior_absolute_error
0.17999759802279386
mean_prior_absolute_error
0.17999759802279386
mean_prior_absolute_error
0.1799979140724263
mean_prior_absolute_error
0.17999879901139712
number_of_instances
562 [55,57,56,58,57,56,56,56,55,56]
number_of_instances
562 [55,57,56,58,57,56,56,56,55,56]
number_of_instances
562 [55,57,56,57,57,56,56,57,55,56]
number_of_instances
562 [55,57,56,57,57,56,56,57,55,56]
number_of_instances
562 [55,57,56,57,57,55,56,57,55,57]
number_of_instances
562 [55,57,56,57,57,55,56,57,55,57]
number_of_instances
562 [56,57,55,57,57,56,55,57,56,56]
number_of_instances
562 [56,57,55,57,57,56,55,57,56,56]
number_of_instances
562 [56,58,55,57,56,56,56,56,56,56]
number_of_instances
562 [56,57,56,57,56,56,56,56,56,56]
precision
0.9788228997872778 [1,0.949153,0.982456,0.982143,0.981818,1,0.964912,0.982456,0.964286,0.981481]
precision
0.9825714839000512 [1,1,0.982456,0.982456,0.982456,0.949153,1,1,0.981818,0.947368]
precision
0.985909620234618 [1,0.982759,1,0.965517,0.966102,1,1,0.982759,0.981481,0.981481]
precision
0.9778864414046033 [1,0.964912,1,0.982143,0.982759,1,0.982456,1,0.981481,0.885246]
precision
0.9790714714956226 [1,0.95,1,1,0.95,0.981818,1,0.966102,0.981481,0.962963]
precision
0.9615932424847826 [0.981818,0.904762,1,0.964912,0.948276,0.980392,0.964912,1,0.94,0.932203]
precision
0.9791619425697968 [1,0.982143,1,1,1,0.947368,0.981818,0.982456,0.982143,0.915254]
precision
0.9734629033873854 [0.982456,0.965517,1,0.947368,1,0.982143,0.982143,0.964912,0.963636,0.947368]
precision
0.9704289821569744 [0.982456,0.95,1,0.965517,1,1,1,0.964912,0.944444,0.898305]
precision
0.9757034628395042 [0.964912,0.919355,0.982143,0.982456,1,0.981818,0.981818,1,0.981132,0.964286]
predictive_accuracy
0.9786476868327402
predictive_accuracy
0.9822064056939501
predictive_accuracy
0.9857651245551601
predictive_accuracy
0.9768683274021351
predictive_accuracy
0.9786476868327402
predictive_accuracy
0.9608540925266904
predictive_accuracy
0.9786476868327402
predictive_accuracy
0.9733096085409252
predictive_accuracy
0.9697508896797153
predictive_accuracy
0.9750889679715303
prior_entropy
3.3217909017967746
prior_entropy
3.3217909017967746
prior_entropy
3.321817923867619
prior_entropy
3.321817923867619
prior_entropy
3.3217996202390836
prior_entropy
3.3217996202390836
prior_entropy
3.3218501976437715
prior_entropy
3.3218501976437715
prior_entropy
3.321873176216062
prior_entropy
3.3219367883600994
relative_absolute_error
0.06252252177317373
relative_absolute_error
0.05967004759745393
relative_absolute_error
0.05848495068673263
relative_absolute_error
0.06477247628237737
relative_absolute_error
0.05717560401235921
relative_absolute_error
0.08058607275327447
relative_absolute_error
0.06268568305618526
relative_absolute_error
0.06566280115219486
relative_absolute_error
0.06957614151994604
relative_absolute_error
0.058826352374933374
root_mean_prior_squared_error
0.2999968250410308
root_mean_prior_squared_error
0.2999968250410308
root_mean_prior_squared_error
0.2999974571463194
root_mean_prior_squared_error
0.2999974571463194
root_mean_prior_squared_error
0.2999970357429417
root_mean_prior_squared_error
0.2999970357429417
root_mean_prior_squared_error
0.2999981946008062
root_mean_prior_squared_error
0.2999981946008062
root_mean_prior_squared_error
0.2999987213529011
root_mean_prior_squared_error
0.3000001962538465
root_mean_squared_error
0.0630190904855166
root_mean_squared_error
0.05592827288768766
root_mean_squared_error
0.053538261916095
root_mean_squared_error
0.060633335023048664
root_mean_squared_error
0.05758398490992348
root_mean_squared_error
0.07885867786107768
root_mean_squared_error
0.058689834029861165
root_mean_squared_error
0.06632571582780071
root_mean_squared_error
0.07036893642885256
root_mean_squared_error
0.05978867624694805
root_relative_squared_error
0.21006585811998985
root_relative_squared_error
0.1864295493128579
root_relative_squared_error
0.17846238573276468
root_relative_squared_error
0.2021128298880068
root_relative_squared_error
0.19194851298219306
root_relative_squared_error
0.2628648568669501
root_relative_squared_error
0.19563395742416728
root_relative_squared_error
0.2210870499272747
root_relative_squared_error
0.23456412117861866
root_relative_squared_error
0.19929545711482669
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
0.9788490033862084 [1,0.982456,1,0.948276,0.947368,1,0.982143,1,0.981818,0.946429]
unweighted_recall
0.9823275272821551 [1,0.964912,1,0.965517,0.982456,1,1,0.964286,0.981818,0.964286]
unweighted_recall
0.9856482114376851 [0.981818,1,0.982143,0.982456,1,1,1,1,0.963636,0.946429]
unweighted_recall
0.9769400774663932 [1,0.964912,0.982143,0.964912,1,0.982143,1,0.947368,0.963636,0.964286]
unweighted_recall
0.9785982000455684 [0.981818,1,1,1,1,0.981818,0.946429,1,0.963636,0.912281]
unweighted_recall
0.9604790385053542 [0.981818,1,1,0.964912,0.964912,0.909091,0.982143,0.982456,0.854545,0.964912]
unweighted_recall
0.978695602642971 [0.982143,0.964912,1,0.964912,1,0.964286,0.981818,0.982456,0.982143,0.964286]
unweighted_recall
0.9734324447482342 [1,0.982456,0.981818,0.947368,0.964912,0.982143,1,0.964912,0.946429,0.964286]
unweighted_recall
0.9696708267534039 [1,0.982759,0.963636,0.982456,0.982143,0.946429,1,0.982143,0.910714,0.946429]
unweighted_recall
0.9750313283208019 [0.982143,1,0.982143,0.982456,0.982143,0.964286,0.964286,1,0.928571,0.964286]
usercpu_time_millis
6464.286686999685
usercpu_time_millis
6590.145836000147
usercpu_time_millis
5941.294404000018
usercpu_time_millis
5557.416516999865
usercpu_time_millis
5550.460712000131
usercpu_time_millis
5579.494706000105
usercpu_time_millis
5536.36214800008
usercpu_time_millis
5552.202720999958
usercpu_time_millis
5551.0156919999645
usercpu_time_millis
5552.880577000224
usercpu_time_millis_testing
23.34536099988327
usercpu_time_millis_testing
24.240977000090425
usercpu_time_millis_testing
22.540273999993587
usercpu_time_millis_testing
22.629769999866767
usercpu_time_millis_testing
22.569256999986465
usercpu_time_millis_testing
22.612046000176633
usercpu_time_millis_testing
22.394837000092593
usercpu_time_millis_testing
22.7088139999978
usercpu_time_millis_testing
22.825046999969345
usercpu_time_millis_testing
22.43500200006565
usercpu_time_millis_training
6440.941325999802
usercpu_time_millis_training
6565.904859000057
usercpu_time_millis_training
5918.754130000025
usercpu_time_millis_training
5534.786746999998
usercpu_time_millis_training
5527.891455000145
usercpu_time_millis_training
5556.882659999928
usercpu_time_millis_training
5513.967310999988
usercpu_time_millis_training
5529.49390699996
usercpu_time_millis_training
5528.190644999995
usercpu_time_millis_training
5530.445575000158
wall_clock_time_millis
6493.401050567627
wall_clock_time_millis
6602.01096534729
wall_clock_time_millis
5942.15726852417
wall_clock_time_millis
5558.300256729126
wall_clock_time_millis
5554.264783859253
wall_clock_time_millis
5584.294319152832
wall_clock_time_millis
5537.7197265625
wall_clock_time_millis
5552.614450454712
wall_clock_time_millis
5551.196575164795
wall_clock_time_millis
5552.940845489502
wall_clock_time_millis_testing
23.348569869995117
wall_clock_time_millis_testing
24.243831634521484
wall_clock_time_millis_testing
22.543907165527344
wall_clock_time_millis_testing
22.63498306274414
wall_clock_time_millis_testing
22.572994232177734
wall_clock_time_millis_testing
22.61638641357422
wall_clock_time_millis_testing
22.397994995117188
wall_clock_time_millis_testing
22.711992263793945
wall_clock_time_millis_testing
22.82881736755371
wall_clock_time_millis_testing
22.438764572143555
wall_clock_time_millis_training
6470.052480697632
wall_clock_time_millis_training
6577.767133712769
wall_clock_time_millis_training
5919.613361358643
wall_clock_time_millis_training
5535.665273666382
wall_clock_time_millis_training
5531.691789627075
wall_clock_time_millis_training
5561.677932739258
wall_clock_time_millis_training
5515.321731567383
wall_clock_time_millis_training
5529.902458190918
wall_clock_time_millis_training
5528.367757797241
wall_clock_time_millis_training
5530.502080917358
weighted_recall
0.9786476868327402 [1,0.982456,1,0.948276,0.947368,1,0.982143,1,0.981818,0.946429]
weighted_recall
0.9822064056939501 [1,0.964912,1,0.965517,0.982456,1,1,0.964286,0.981818,0.964286]
weighted_recall
0.9857651245551602 [0.981818,1,0.982143,0.982456,1,1,1,1,0.963636,0.946429]
weighted_recall
0.9768683274021353 [1,0.964912,0.982143,0.964912,1,0.982143,1,0.947368,0.963636,0.964286]
weighted_recall
0.9786476868327402 [0.981818,1,1,1,1,0.981818,0.946429,1,0.963636,0.912281]
weighted_recall
0.9608540925266904 [0.981818,1,1,0.964912,0.964912,0.909091,0.982143,0.982456,0.854545,0.964912]
weighted_recall
0.9786476868327402 [0.982143,0.964912,1,0.964912,1,0.964286,0.981818,0.982456,0.982143,0.964286]
weighted_recall
0.9733096085409253 [1,0.982456,0.981818,0.947368,0.964912,0.982143,1,0.964912,0.946429,0.964286]
weighted_recall
0.9697508896797153 [1,0.982759,0.963636,0.982456,0.982143,0.946429,1,0.982143,0.910714,0.946429]
weighted_recall
0.9750889679715302 [0.982143,1,0.982143,0.982456,0.982143,0.964286,0.964286,1,0.928571,0.964286]