10228942
8323
Heinrich Peters
28
Supervised Classification
12677
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)
8154044
l2_regularization
1e-06
12677
learning_rate
0.01
12677
loss
"auto"
12677
max_bins
64
12677
max_depth
9
12677
max_iter
400
12677
max_leaf_nodes
64
12677
min_samples_leaf
15
12677
n_iter_no_change
null
12677
random_state
42948
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.2
12677
verbose
0
12677
openml-python
Sklearn_0.21.2.
28
optdigits
https://www.openml.org/data/download/28/dataset_28_optdigits.arff
-1
21379298
description
https://api.openml.org/data/download/21379298/description.xml
-1
21379299
predictions
https://api.openml.org/data/download/21379299/predictions.arff
area_under_roc_curve
0.9994663644732238 [0.99974,0.999694,0.99989,0.999509,0.999669,0.998939,0.999629,0.999631,0.999416,0.998544]
average_cost
0
f_measure
0.9797421176820182 [0.990045,0.979239,0.992793,0.977113,0.9806,0.981949,0.987433,0.982425,0.973803,0.952297]
kappa
0.9774609968439485
kb_relative_information_score
0.9749161147769365
mean_absolute_error
0.006421725796754153
mean_prior_absolute_error
0.17999735782507298
number_of_instances
5620 [554,571,557,572,568,558,558,566,554,562]
precision
0.9798385658184275 [0.99274,0.967521,0.996383,0.984043,0.982332,0.989091,0.989209,0.977273,0.974684,0.945614]
predictive_accuracy
0.9797153024911032
prior_entropy
3.3218327251668773
recall
0.9797153024911032 [0.987365,0.991243,0.989228,0.97028,0.978873,0.97491,0.985663,0.987633,0.972924,0.959075]
relative_absolute_error
0.03567677811690428
root_mean_prior_squared_error
0.2999977942685968
root_mean_squared_error
0.05724721911872545
root_relative_squared_error
0.19082546676150006
total_cost
0
area_under_roc_curve
0.9996794737059125 [1,0.999931,0.999824,0.999282,0.998819,1,0.999718,0.999929,0.999892,0.999435]
area_under_roc_curve
0.9997042075626627 [1,0.999861,1,0.999145,0.999687,0.999965,1,0.999541,0.999821,0.999047]
area_under_roc_curve
0.9997467614423243 [0.999713,0.999965,0.999894,0.999479,0.999896,1,1,1,0.999857,0.998659]
area_under_roc_curve
0.99961643461615 [1,0.999201,0.999824,0.999514,1,0.999894,1,0.999931,0.999964,0.997847]
area_under_roc_curve
0.9997819819711532 [0.999749,0.999792,1,1,0.999965,0.999319,0.999612,1,1,0.999375]
area_under_roc_curve
0.9982605952948763 [0.997777,0.999965,0.999894,0.999722,0.999131,0.993294,0.997388,0.998854,0.998135,0.998263]
area_under_roc_curve
0.9998063755006167 [1,1,1,0.999965,1,1,1,0.998958,0.999894,0.999259]
area_under_roc_curve
0.9995037945694616 [1,1,1,0.998541,0.999757,0.998765,1,0.999826,0.999859,0.998306]
area_under_roc_curve
0.9989375705080187 [1,0.9987,0.999319,0.999792,0.999929,0.9988,1,0.999329,0.997494,0.996012]
area_under_roc_curve
0.9997678608956362 [0.999929,0.999861,0.999965,0.999896,1,0.999929,0.999788,1,0.999047,0.999259]
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
0.9785992895035872 [1,0.982456,0.982143,0.973913,0.955752,1,0.973451,0.982456,0.972973,0.963636]
f_measure
0.9822801649150821 [1,0.99115,1,0.964286,0.99115,0.99115,1,0.972973,0.956522,0.955752]
f_measure
0.983966347220841 [0.981481,0.991304,0.990991,0.973913,0.982456,1,1,0.982759,0.981818,0.954955]
f_measure
0.9804717203282726 [0.990991,0.964912,0.990991,0.973451,0.991304,0.990991,0.99115,0.982456,0.981481,0.947368]
f_measure
0.9857268058692374 [0.990826,0.974359,1,1,0.982759,0.981818,0.972477,0.991304,1,0.964286]
f_measure
0.9644766052861212 [0.972477,0.974359,0.981818,0.973451,0.956522,0.924528,0.973451,0.99115,0.962963,0.933333]
f_measure
0.9875593865596215 [0.990991,0.991304,1,0.99115,1,0.982456,0.990826,0.982456,0.982143,0.964286]
f_measure
0.9803927456894138 [0.99115,0.991304,1,0.964286,0.964286,0.981818,0.990991,0.982456,0.99115,0.947368]
f_measure
0.9734289568881871 [1,0.974359,0.990826,0.973913,0.981818,0.972477,1,0.964912,0.946429,0.929825]
f_measure
0.980457528785709 [0.982143,0.957983,0.99115,0.982456,1,0.990991,0.981818,0.99115,0.962963,0.964286]
kappa
0.9762749071259709
kappa
0.9802298543270939
kappa
0.9822056795474374
kappa
0.9782517686708672
kappa
0.9841827706185114
kappa
0.960455535345504
kappa
0.9861602164269154
kappa
0.9782521512147415
kappa
0.9703430079155673
kappa
0.9782517686708672
kb_relative_information_score
0.9752590352763871
kb_relative_information_score
0.9765045435881331
kb_relative_information_score
0.9781191808560736
kb_relative_information_score
0.9746804952373899
kb_relative_information_score
0.9785065292109663
kb_relative_information_score
0.9601585220325246
kb_relative_information_score
0.9812768643315714
kb_relative_information_score
0.97869705045302
kb_relative_information_score
0.9691509465155598
kb_relative_information_score
0.9768078641126868
mean_absolute_error
0.006068565371671861
mean_absolute_error
0.006281393579399445
mean_absolute_error
0.0060474357806633355
mean_absolute_error
0.0065054536114064875
mean_absolute_error
0.005432506508086995
mean_absolute_error
0.00961449037110559
mean_absolute_error
0.005224040422670267
mean_absolute_error
0.005466635565473941
mean_absolute_error
0.007735076770957883
mean_absolute_error
0.005841659986105819
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
0.9787357159072125 [1,0.982456,0.982143,0.982456,0.964286,1,0.964912,0.965517,0.964286,0.981481]
precision
0.9830403207955184 [1,1,1,1,1,0.982456,1,0.981818,0.916667,0.947368]
precision
0.9841337315155461 [1,0.982759,1,0.965517,0.982456,1,1,0.966102,0.981818,0.963636]
precision
0.9807343705933136 [0.982143,0.964912,1,0.982143,0.982759,1,0.982456,0.982456,1,0.931034]
precision
0.9861186376389968 [1,0.95,1,1,0.966102,0.981818,1,0.982759,1,0.981818]
precision
0.9656094381999388 [0.981481,0.95,1,0.982143,0.948276,0.960784,0.964912,1,0.981132,0.888889]
precision
0.9876978770401277 [1,0.982759,1,1,1,0.965517,1,0.982456,0.982143,0.964286]
precision
0.9806679537423866 [0.982456,0.982759,1,0.981818,0.981818,1,0.982143,0.982456,0.982456,0.931034]
precision
0.9739221408054644 [1,0.966102,1,0.965517,1,1,1,0.948276,0.946429,0.913793]
precision
0.98120696356895 [0.982143,0.919355,0.982456,0.982456,1,1,1,0.982456,1,0.964286]
predictive_accuracy
0.9786476868327402
predictive_accuracy
0.9822064056939501
predictive_accuracy
0.9839857651245552
predictive_accuracy
0.9804270462633453
predictive_accuracy
0.9857651245551601
predictive_accuracy
0.9644128113879004
predictive_accuracy
0.9875444839857651
predictive_accuracy
0.9804270462633453
predictive_accuracy
0.9733096085409252
predictive_accuracy
0.9804270462633453
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
recall
0.9786476868327402 [1,0.982456,0.982143,0.965517,0.947368,1,0.982143,1,0.981818,0.946429]
recall
0.9822064056939501 [1,0.982456,1,0.931034,0.982456,1,1,0.964286,1,0.964286]
recall
0.9839857651245552 [0.963636,1,0.982143,0.982456,0.982456,1,1,1,0.981818,0.946429]
recall
0.9804270462633452 [1,0.964912,0.982143,0.964912,1,0.982143,1,0.982456,0.963636,0.964286]
recall
0.9857651245551602 [0.981818,1,1,1,1,0.981818,0.946429,1,1,0.947368]
recall
0.9644128113879004 [0.963636,1,0.964286,0.964912,0.964912,0.890909,0.982143,0.982456,0.945455,0.982456]
recall
0.9875444839857651 [0.982143,1,1,0.982456,1,1,0.981818,0.982456,0.982143,0.964286]
recall
0.9804270462633452 [1,1,1,0.947368,0.947368,0.964286,1,0.982456,1,0.964286]
recall
0.9733096085409253 [1,0.982759,0.981818,0.982456,0.964286,0.946429,1,0.982143,0.946429,0.946429]
recall
0.9804270462633452 [0.982143,1,1,0.982456,1,0.982143,0.964286,1,0.928571,0.964286]
relative_absolute_error
0.03371485588035276
relative_absolute_error
0.03489725598834277
relative_absolute_error
0.03359739637036825
relative_absolute_error
0.03614198008523426
relative_absolute_error
0.03018111104239827
relative_absolute_error
0.053414754510545344
relative_absolute_error
0.029022834082534397
relative_absolute_error
0.030370602860943053
relative_absolute_error
0.042973146721275314
relative_absolute_error
0.03245388312694208
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
0.0589483981746549
root_mean_squared_error
0.053540033155171446
root_mean_squared_error
0.051423896222589194
root_mean_squared_error
0.05649907654439892
root_mean_squared_error
0.05118668061877733
root_mean_squared_error
0.07476734542325456
root_mean_squared_error
0.04589537758413983
root_mean_squared_error
0.0539550221638075
root_mean_squared_error
0.06517292293446691
root_mean_squared_error
0.05584941556595826
root_relative_squared_error
0.19649674014580815
root_relative_squared_error
0.1784686659528771
root_relative_squared_error
0.1714144403480991
root_relative_squared_error
0.18833185148246875
root_relative_squared_error
0.17062395464013064
root_relative_squared_error
0.24922694731997425
root_relative_squared_error
0.15298551261353657
root_relative_squared_error
0.1798511562231332
root_relative_squared_error
0.21724400237626768
root_relative_squared_error
0.18616459676813352
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
usercpu_time_millis
72747.4314079991
usercpu_time_millis
72890.79356699949
usercpu_time_millis
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usercpu_time_millis
72815.26267200024
usercpu_time_millis
72492.57215299986
usercpu_time_millis
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usercpu_time_millis
72432.06413400185
usercpu_time_millis
72729.72282900082
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
282.47112999997626
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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