10328289
8323
Heinrich Peters
3573
Supervised Classification
12736
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8158033
l2_regularization
1.0
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
256
12677
max_depth
10
12677
max_iter
450
12677
max_leaf_nodes
64
12677
min_samples_leaf
12
12677
n_iter_no_change
null
12677
random_state
59156
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.2
12677
verbose
0
12677
memory
null
12736
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}]
12736
verbose
false
12736
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
openml-python
Sklearn_0.21.2.
554
mnist_784
https://www.openml.org/data/download/52667/mnist_784.arff
-1
21578264
description
https://api.openml.org/data/download/21578264/description.xml
-1
21578265
predictions
https://api.openml.org/data/download/21578265/predictions.arff
area_under_roc_curve
0.9996681031051486 [0.999914,0.999804,0.999639,0.999511,0.99955,0.999698,0.999853,0.999648,0.999678,0.999379]
average_cost
0
f_measure
0.9803712243725704 [0.987642,0.989258,0.976903,0.977537,0.979924,0.979125,0.98576,0.979362,0.975535,0.971535]
kappa
0.978183495086998
kb_relative_information_score
0.9804023020329103
mean_absolute_error
0.004644912008225242
mean_prior_absolute_error
0.1799414337543242
number_of_instances
70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958]
precision
0.9803840189130424 [0.985434,0.99058,0.973572,0.983144,0.979924,0.981228,0.984901,0.97943,0.972481,0.971815]
predictive_accuracy
0.9803714285714286
prior_entropy
3.319837025446073
recall
0.9803714285714286 [0.989859,0.98794,0.980258,0.971993,0.979924,0.977032,0.98662,0.979295,0.978608,0.971256]
relative_absolute_error
0.025813465588848127
root_mean_prior_squared_error
0.2999511838524139
root_mean_squared_error
0.05512044147486426
root_relative_squared_error
0.18376470719977345
total_cost
0
area_under_roc_curve
0.9996804439454842 [0.99997,0.999709,0.999412,0.999369,0.999837,0.999805,0.999859,0.999487,0.999772,0.99962]
area_under_roc_curve
0.9995839275976866 [0.999815,0.99992,0.999788,0.99955,0.998648,0.99934,0.999685,0.99976,0.999671,0.999573]
area_under_roc_curve
0.9996916804381836 [0.999888,0.999813,0.999754,0.999673,0.999769,0.999821,0.99982,0.999676,0.999489,0.999212]
area_under_roc_curve
0.9994716124208665 [0.999923,0.999624,0.999238,0.999584,0.999248,0.999372,0.999799,0.999591,0.999553,0.998751]
area_under_roc_curve
0.9997352072032969 [0.999946,0.99967,0.999759,0.999578,0.999794,0.999819,0.999887,0.999717,0.999709,0.999498]
area_under_roc_curve
0.9996613053436978 [0.999941,0.999725,0.999595,0.999473,0.999296,0.999864,0.99989,0.999769,0.999629,0.99944]
area_under_roc_curve
0.9996783869293737 [0.999918,0.999954,0.999647,0.99928,0.9996,0.99982,0.99991,0.999393,0.99968,0.999585]
area_under_roc_curve
0.9997591040195626 [0.999929,0.999971,0.999795,0.999449,0.999836,0.999716,0.999946,0.999815,0.999775,0.999338]
area_under_roc_curve
0.9997390205377783 [0.999938,0.999955,0.999809,0.999607,0.999652,0.999726,0.999895,0.999749,0.999806,0.999229]
area_under_roc_curve
0.9997024520521207 [0.999864,0.999707,0.999616,0.999611,0.999812,0.999714,0.999861,0.999563,0.999708,0.999585]
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
0.9807124992302636 [0.989899,0.985969,0.975053,0.977496,0.986842,0.976966,0.984727,0.976239,0.977189,0.976208]
f_measure
0.9817192141918427 [0.987726,0.989848,0.98059,0.982357,0.98457,0.978656,0.983248,0.98224,0.968636,0.97781]
f_measure
0.9799949557128168 [0.983394,0.987997,0.977778,0.981106,0.978661,0.983294,0.985465,0.982143,0.973723,0.965468]
f_measure
0.9788601106300744 [0.985612,0.989165,0.973628,0.973126,0.976471,0.978588,0.989091,0.976648,0.974471,0.970735]
f_measure
0.9802899255553562 [0.990587,0.987294,0.976612,0.971791,0.977422,0.982512,0.990504,0.978723,0.977356,0.969784]
f_measure
0.9794327845012742 [0.988456,0.986599,0.969482,0.974504,0.975895,0.984127,0.983321,0.982192,0.973684,0.97554]
f_measure
0.9784362945004801 [0.988389,0.98789,0.97454,0.973164,0.976642,0.976077,0.981132,0.976616,0.975146,0.973553]
f_measure
0.9809863062921108 [0.988439,0.993016,0.978541,0.974684,0.986121,0.973872,0.98769,0.98069,0.976744,0.968162]
f_measure
0.9821358106068906 [0.986222,0.991746,0.981508,0.983791,0.979412,0.979365,0.986282,0.980151,0.978909,0.972464]
f_measure
0.9811410337262362 [0.987708,0.993025,0.981402,0.98324,0.977189,0.977813,0.986162,0.977992,0.979502,0.965616]
kappa
0.9785644729616346
kappa
0.9796760074315042
kappa
0.9777700572833866
kappa
0.976500757249488
kappa
0.9780881810983252
kappa
0.9771359232616259
kappa
0.9760241999069095
kappa
0.9788823706764093
kappa
0.9801523064369563
kappa
0.9790407186438546
kb_relative_information_score
0.980798325581963
kb_relative_information_score
0.9812035651118923
kb_relative_information_score
0.9797313662279596
kb_relative_information_score
0.97911603451258
kb_relative_information_score
0.9800477364940682
kb_relative_information_score
0.9798083980996986
kb_relative_information_score
0.9788223604895347
kb_relative_information_score
0.981299690200186
kb_relative_information_score
0.9823621823841724
kb_relative_information_score
0.9808333408332015
mean_absolute_error
0.0044931628598543225
mean_absolute_error
0.004466087481440189
mean_absolute_error
0.004800453589562716
mean_absolute_error
0.004941167136325972
mean_absolute_error
0.004698075029058598
mean_absolute_error
0.004774187878971484
mean_absolute_error
0.004956071770152209
mean_absolute_error
0.004514859582585104
mean_absolute_error
0.0042565213299413955
mean_absolute_error
0.0045485334243599105
mean_prior_absolute_error
0.17994152998551463
mean_prior_absolute_error
0.17994170016528485
mean_prior_absolute_error
0.17994130267104935
mean_prior_absolute_error
0.17994130267104935
mean_prior_absolute_error
0.17994130267104935
mean_prior_absolute_error
0.1799413030791543
mean_prior_absolute_error
0.1799413030791543
mean_prior_absolute_error
0.1799414581590409
mean_prior_absolute_error
0.17994139612708626
mean_prior_absolute_error
0.17994173893525653
number_of_instances
7000 [691,787,699,714,682,631,687,730,683,696]
number_of_instances
7000 [691,787,699,714,682,631,688,729,683,696]
number_of_instances
7000 [690,788,699,714,682,631,688,729,683,696]
number_of_instances
7000 [690,788,699,714,682,631,688,729,683,696]
number_of_instances
7000 [690,788,699,714,682,631,688,729,683,696]
number_of_instances
7000 [690,788,699,714,683,631,688,729,682,696]
number_of_instances
7000 [690,788,699,714,683,631,688,729,682,696]
number_of_instances
7000 [690,788,699,715,683,632,687,729,682,695]
number_of_instances
7000 [690,788,699,714,683,632,687,730,682,695]
number_of_instances
7000 [691,787,699,714,682,632,687,730,682,696]
precision
0.9807477996701571 [0.98705,0.989757,0.971591,0.981638,0.983965,0.979299,0.984012,0.967699,0.982249,0.97974]
precision
0.9817537416437427 [0.985591,0.988593,0.985549,0.990043,0.986745,0.976341,0.985401,0.978231,0.965116,0.974322]
precision
0.9800055785564113 [0.979856,0.983648,0.979885,0.98042,0.982275,0.98722,0.985465,0.983494,0.970888,0.966859]
precision
0.9789122400498267 [0.978571,0.993598,0.97017,0.982857,0.979351,0.979365,0.989811,0.977992,0.97093,0.964539]
precision
0.9803374923756218 [0.98987,0.98855,0.967697,0.978693,0.971056,0.985646,0.995595,0.979396,0.975219,0.971182]
precision
0.9794899919991692 [0.984195,0.992298,0.961972,0.985673,0.973761,0.985692,0.981187,0.980848,0.970845,0.976945]
precision
0.9785052415469436 [0.989826,0.992318,0.963636,0.981481,0.973799,0.982343,0.97971,0.97931,0.972303,0.968706]
precision
0.9810137847309153 [0.985591,0.993647,0.978541,0.980198,0.983965,0.974643,0.982709,0.98613,0.9683,0.973799]
precision
0.9821835359648349 [0.986938,0.992376,0.975955,0.990071,0.983752,0.982484,0.97851,0.97948,0.97114,0.979562]
precision
0.9811502682238892 [0.986994,0.991139,0.981402,0.980501,0.980798,0.979365,0.98688,0.982044,0.97807,0.962857]
predictive_accuracy
0.9807142857142856
predictive_accuracy
0.9817142857142858
predictive_accuracy
0.98
predictive_accuracy
0.9788571428571429
predictive_accuracy
0.9802857142857142
predictive_accuracy
0.9794285714285713
predictive_accuracy
0.9784285714285714
predictive_accuracy
0.981
predictive_accuracy
0.9821428571428571
predictive_accuracy
0.9811428571428571
prior_entropy
3.319842722993559
prior_entropy
3.3198548559727135
prior_entropy
3.3198276564080795
prior_entropy
3.3198276564080795
prior_entropy
3.3198276564080795
prior_entropy
3.319827686603566
prior_entropy
3.319827686603566
prior_entropy
3.3198399404547705
prior_entropy
3.319835600159663
prior_entropy
3.3198587924440996
recall
0.9807142857142858 [0.992764,0.982211,0.978541,0.973389,0.989736,0.974643,0.985444,0.984932,0.972182,0.972701]
recall
0.9817142857142858 [0.98987,0.991105,0.97568,0.97479,0.982405,0.980983,0.981105,0.986283,0.972182,0.981322]
recall
0.98 [0.986957,0.992386,0.97568,0.981793,0.975073,0.979398,0.985465,0.980796,0.976574,0.96408]
recall
0.9788571428571429 [0.992754,0.984772,0.97711,0.963585,0.973607,0.977813,0.988372,0.975309,0.978038,0.977011]
recall
0.9802857142857143 [0.991304,0.986041,0.985694,0.964986,0.983871,0.979398,0.985465,0.978052,0.979502,0.968391]
recall
0.9794285714285714 [0.992754,0.980964,0.97711,0.963585,0.978038,0.982567,0.985465,0.983539,0.97654,0.974138]
recall
0.9784285714285714 [0.986957,0.983503,0.985694,0.964986,0.979502,0.969889,0.982558,0.973937,0.978006,0.978448]
recall
0.981 [0.991304,0.992386,0.978541,0.969231,0.988287,0.973101,0.992722,0.975309,0.985337,0.96259]
recall
0.9821428571428571 [0.985507,0.991117,0.987124,0.977591,0.97511,0.976266,0.994178,0.980822,0.986804,0.965468]
recall
0.9811428571428571 [0.988423,0.994917,0.981402,0.985994,0.973607,0.976266,0.985444,0.973973,0.980938,0.968391]
relative_absolute_error
0.024970127019682584
relative_absolute_error
0.024819635900616026
relative_absolute_error
0.026677886167904563
relative_absolute_error
0.02745988310065154
relative_absolute_error
0.02610893085311907
relative_absolute_error
0.02653191789364429
relative_absolute_error
0.027542713570169516
relative_absolute_error
0.02509071355081859
relative_absolute_error
0.023655042261288027
relative_absolute_error
0.025277811869965777
root_mean_prior_squared_error
0.2999513442637286
root_mean_prior_squared_error
0.29995162794255353
root_mean_prior_squared_error
0.29995096534459187
root_mean_prior_squared_error
0.29995096534459187
root_mean_prior_squared_error
0.29995096534459187
root_mean_prior_squared_error
0.29995096602487803
root_mean_prior_squared_error
0.29995096602487803
root_mean_prior_squared_error
0.29995122453349654
root_mean_prior_squared_error
0.2999511211300758
root_mean_prior_squared_error
0.2999516925695864
root_mean_squared_error
0.05448303691653013
root_mean_squared_error
0.053629991185583016
root_mean_squared_error
0.05593847017745979
root_mean_squared_error
0.057456921105845056
root_mean_squared_error
0.05549092554004546
root_mean_squared_error
0.056301814109133895
root_mean_squared_error
0.05771856718304835
root_mean_squared_error
0.053851872975410324
root_mean_squared_error
0.05231843771445575
root_mean_squared_error
0.0537571386338038
root_relative_squared_error
0.18163958241382835
root_relative_squared_error
0.17879546630050022
root_relative_squared_error
0.1864920491694239
root_relative_squared_error
0.19155437969615124
root_relative_squared_error
0.18499998983599192
root_relative_squared_error
0.1877033931754839
root_relative_squared_error
0.19242667542621336
root_relative_squared_error
0.17953543299969593
root_relative_squared_error
0.17442321107967287
root_relative_squared_error
0.17921932086225043
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
4376275.795847999
usercpu_time_millis
4488783.882587999
usercpu_time_millis
4443423.954686001
usercpu_time_millis
4379399.7140540015
usercpu_time_millis
4398664.207934998
usercpu_time_millis
4211521.826577998
usercpu_time_millis
4190408.433285993
usercpu_time_millis
4278647.6597970035
usercpu_time_millis
4473323.410197998
usercpu_time_millis
4491201.592603
usercpu_time_millis_testing
5504.530915000942
usercpu_time_millis_testing
7558.599218999007
usercpu_time_millis_testing
5897.6799989977735
usercpu_time_millis_testing
5097.2844420030015
usercpu_time_millis_testing
4850.692373998754
usercpu_time_millis_testing
4826.440468998044
usercpu_time_millis_testing
5309.923158994934
usercpu_time_millis_testing
4966.5197180002
usercpu_time_millis_testing
5008.270594997157
usercpu_time_millis_testing
4835.350427005324
usercpu_time_millis_training
4370771.264932998
usercpu_time_millis_training
4481225.283369
usercpu_time_millis_training
4437526.274687003
usercpu_time_millis_training
4374302.429611999
usercpu_time_millis_training
4393813.5155609995
usercpu_time_millis_training
4206695.386109
usercpu_time_millis_training
4185098.510126998
usercpu_time_millis_training
4273681.140079003
usercpu_time_millis_training
4468315.139603001
usercpu_time_millis_training
4486366.242175994
wall_clock_time_millis
4376602.58936882
wall_clock_time_millis
4489277.20952034
wall_clock_time_millis
4444067.9585933685
wall_clock_time_millis
4379837.10026741
wall_clock_time_millis
4403568.946361542
wall_clock_time_millis
4211856.764316559
wall_clock_time_millis
4190763.2207870483
wall_clock_time_millis
4279070.410013199
wall_clock_time_millis
4473943.27712059
wall_clock_time_millis
4491751.515388489
wall_clock_time_millis_testing
5504.644155502319
wall_clock_time_millis_testing
7558.907747268677
wall_clock_time_millis_testing
5897.853374481201
wall_clock_time_millis_testing
5097.426176071167
wall_clock_time_millis_testing
4850.834369659424
wall_clock_time_millis_testing
4826.590061187744
wall_clock_time_millis_testing
5310.021638870239
wall_clock_time_millis_testing
4966.715335845947
wall_clock_time_millis_testing
5008.402347564697
wall_clock_time_millis_testing
4835.512638092041
wall_clock_time_millis_training
4371097.945213318
wall_clock_time_millis_training
4481718.301773071
wall_clock_time_millis_training
4438170.105218887
wall_clock_time_millis_training
4374739.674091339
wall_clock_time_millis_training
4398718.111991882
wall_clock_time_millis_training
4207030.174255371
wall_clock_time_millis_training
4185453.199148178
wall_clock_time_millis_training
4274103.694677353
wall_clock_time_millis_training
4468934.8747730255
wall_clock_time_millis_training
4486916.002750397