10327478
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)
8156558
l2_regularization
0.1
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
16
12677
max_depth
4
12677
max_iter
500
12677
max_leaf_nodes
16
12677
min_samples_leaf
10
12677
n_iter_no_change
null
12677
random_state
51394
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.1
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
21576642
description
https://api.openml.org/data/download/21576642/description.xml
-1
21576643
predictions
https://api.openml.org/data/download/21576643/predictions.arff
area_under_roc_curve
0.9996705122378376 [0.99992,0.999874,0.999631,0.999479,0.999589,0.999669,0.999866,0.999596,0.999687,0.999379]
average_cost
0
f_measure
0.9811705733865437 [0.988849,0.989404,0.979161,0.979023,0.980372,0.977294,0.985979,0.981008,0.97633,0.972923]
kappa
0.9790725292562922
kb_relative_information_score
0.9809602896973229
mean_absolute_error
0.004632836609474039
mean_prior_absolute_error
0.1799414337543242
number_of_instances
70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958]
precision
0.9811792423367858 [0.988562,0.988965,0.97693,0.984289,0.979941,0.979628,0.985049,0.981075,0.973627,0.972434]
predictive_accuracy
0.9811714285714285
prior_entropy
3.319837025446073
recall
0.9811714285714286 [0.989135,0.989844,0.981402,0.973813,0.980803,0.974972,0.986911,0.980941,0.979048,0.973412]
relative_absolute_error
0.025746358205633153
root_mean_prior_squared_error
0.2999511838524139
root_mean_squared_error
0.0540471153175944
root_relative_squared_error
0.18018637107359242
total_cost
0
area_under_roc_curve
0.99971932934366 [0.999977,0.999827,0.999363,0.999521,0.999837,0.999771,0.999909,0.99969,0.999714,0.999592]
area_under_roc_curve
0.999628797321342 [0.999915,0.999931,0.999783,0.999129,0.998953,0.999409,0.999806,0.999842,0.99973,0.999724]
area_under_roc_curve
0.999726989361205 [0.999911,0.999911,0.999783,0.999742,0.999797,0.999772,0.999743,0.999619,0.999559,0.999417]
area_under_roc_curve
0.9994955663959585 [0.999943,0.99974,0.99923,0.999564,0.999227,0.999427,0.999812,0.9997,0.999606,0.99866]
area_under_roc_curve
0.9997287429004638 [0.999936,0.999664,0.999797,0.999529,0.999807,0.999849,0.999891,0.999712,0.999565,0.999567]
area_under_roc_curve
0.9997000107715254 [0.99991,0.999908,0.999616,0.999587,0.999293,0.999856,0.999866,0.999764,0.999665,0.999518]
area_under_roc_curve
0.9995907805857756 [0.999962,0.999955,0.999596,0.998961,0.999602,0.999768,0.999892,0.998833,0.999722,0.999649]
area_under_roc_curve
0.9996790641300007 [0.999871,0.999982,0.999829,0.999526,0.999818,0.999549,0.999942,0.999431,0.999777,0.999039]
area_under_roc_curve
0.9997409009420413 [0.999943,0.999971,0.999813,0.999572,0.99978,0.99953,0.99993,0.999754,0.999855,0.999221]
area_under_roc_curve
0.999721388683725 [0.999828,0.999891,0.999505,0.999727,0.999782,0.999744,0.999911,0.99969,0.999691,0.999432]
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
0.9809984048516041 [0.992764,0.98789,0.975053,0.97619,0.984615,0.973621,0.986919,0.981595,0.972222,0.977714]
f_measure
0.9831431957264779 [0.98917,0.987967,0.98059,0.983769,0.986019,0.979398,0.982507,0.984973,0.974471,0.981429]
f_measure
0.9805589817837195 [0.982583,0.984887,0.978571,0.983927,0.980938,0.983294,0.985465,0.980822,0.975824,0.968863]
f_measure
0.9820018198448227 [0.98917,0.990452,0.978571,0.979563,0.979442,0.976228,0.988372,0.982865,0.976608,0.97711]
f_measure
0.9804351127516334 [0.990587,0.989206,0.977967,0.97454,0.977356,0.980922,0.988321,0.977351,0.979562,0.967834]
f_measure
0.9802901152472816 [0.988406,0.987906,0.973703,0.978154,0.976574,0.980174,0.985528,0.982143,0.975824,0.973439]
f_measure
0.9787108395745602 [0.990559,0.98731,0.98081,0.97374,0.974471,0.972973,0.981923,0.975812,0.975895,0.972202]
f_measure
0.9815597325611052 [0.989154,0.993016,0.981375,0.973852,0.986121,0.973101,0.986242,0.982167,0.976676,0.971882]
f_measure
0.9847111775045709 [0.989138,0.993016,0.984353,0.985896,0.983175,0.980174,0.987636,0.982192,0.983273,0.976845]
f_measure
0.9792753908377672 [0.986938,0.992415,0.980645,0.980501,0.975037,0.973059,0.9869,0.980096,0.972894,0.961843]
kappa
0.9788818202845628
kappa
0.9812636051518462
kappa
0.978404865401972
kappa
0.9799937372685485
kappa
0.9782469411774153
kappa
0.9780884022729812
kappa
0.9763417896880372
kappa
0.9795174325249107
kappa
0.9830104247942731
kappa
0.976976229465377
kb_relative_information_score
0.98087277676598
kb_relative_information_score
0.9825285307760115
kb_relative_information_score
0.9807134891629786
kb_relative_information_score
0.9805742926384393
kb_relative_information_score
0.9807819628434182
kb_relative_information_score
0.9798792584324488
kb_relative_information_score
0.979515719240389
kb_relative_information_score
0.9816180315169872
kb_relative_information_score
0.9832103236663278
kb_relative_information_score
0.9799085015498951
mean_absolute_error
0.004562680595626276
mean_absolute_error
0.00433411020317449
mean_absolute_error
0.0046671076059813296
mean_absolute_error
0.004707230934704837
mean_absolute_error
0.004631034437178303
mean_absolute_error
0.004860172437925072
mean_absolute_error
0.004913837813224339
mean_absolute_error
0.004502906804977134
mean_absolute_error
0.0041779619068799964
mean_absolute_error
0.004971323355068775
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
0.9810207909930703 [0.992764,0.991049,0.971591,0.97619,0.983895,0.982258,0.985486,0.976934,0.970803,0.978417]
precision
0.9831803230307707 [0.987032,0.984848,0.985549,0.991465,0.98966,0.979398,0.98538,0.980952,0.97093,0.975852]
precision
0.9805764018321406 [0.984012,0.9775,0.977175,0.981869,0.980938,0.98722,0.985465,0.97948,0.97654,0.976642]
precision
0.9820213720840105 [0.985612,0.993614,0.977175,0.985816,0.980882,0.976228,0.988372,0.982192,0.975182,0.972934]
precision
0.9804839276717061 [0.98987,0.989835,0.971751,0.984286,0.973799,0.984051,0.992669,0.978022,0.97671,0.963016]
precision
0.9803171041834285 [0.988406,0.99106,0.967514,0.984397,0.976574,0.980952,0.981268,0.983494,0.97511,0.97274]
precision
0.9787878783304833 [0.992722,0.98731,0.974576,0.98705,0.97093,0.976077,0.976978,0.983287,0.972344,0.964639]
precision
0.9815850769255786 [0.987013,0.993647,0.982783,0.984286,0.983965,0.973101,0.981268,0.982167,0.971014,0.973988]
precision
0.9847445995742967 [0.988423,0.993647,0.978784,0.992898,0.982456,0.982512,0.986919,0.982192,0.975469,0.982533]
precision
0.9792822413729574 [0.989811,0.987421,0.982759,0.975069,0.976471,0.974603,0.9869,0.982118,0.972182,0.963925]
predictive_accuracy
0.981
predictive_accuracy
0.9831428571428572
predictive_accuracy
0.9805714285714286
predictive_accuracy
0.982
predictive_accuracy
0.9804285714285714
predictive_accuracy
0.9802857142857142
predictive_accuracy
0.9787142857142856
predictive_accuracy
0.9815714285714285
predictive_accuracy
0.9847142857142858
predictive_accuracy
0.9792857142857143
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
0.981 [0.992764,0.984752,0.978541,0.97619,0.985337,0.965135,0.988355,0.986301,0.973646,0.977011]
recall
0.9831428571428571 [0.991317,0.991105,0.97568,0.97619,0.982405,0.979398,0.979651,0.989026,0.978038,0.987069]
recall
0.9805714285714285 [0.981159,0.992386,0.979971,0.985994,0.980938,0.979398,0.985465,0.982167,0.97511,0.961207]
recall
0.982 [0.992754,0.98731,0.979971,0.973389,0.978006,0.976228,0.988372,0.983539,0.978038,0.981322]
recall
0.9804285714285714 [0.991304,0.988579,0.984263,0.964986,0.980938,0.977813,0.984012,0.97668,0.98243,0.972701]
recall
0.9802857142857143 [0.988406,0.984772,0.979971,0.971989,0.976574,0.979398,0.989826,0.980796,0.97654,0.974138]
recall
0.9787142857142858 [0.988406,0.98731,0.987124,0.960784,0.978038,0.969889,0.986919,0.96845,0.979472,0.979885]
recall
0.9815714285714285 [0.991304,0.992386,0.979971,0.963636,0.988287,0.973101,0.991266,0.982167,0.982405,0.969784]
recall
0.9847142857142858 [0.989855,0.992386,0.989986,0.978992,0.983895,0.977848,0.988355,0.982192,0.991202,0.971223]
recall
0.9792857142857143 [0.984081,0.997459,0.978541,0.985994,0.973607,0.971519,0.9869,0.978082,0.973607,0.95977]
relative_absolute_error
0.02535646215742177
relative_absolute_error
0.024086191245238916
relative_absolute_error
0.02593683349349353
relative_absolute_error
0.026159813588268417
relative_absolute_error
0.025736361627015092
relative_absolute_error
0.027009765711139333
relative_absolute_error
0.02730800393872214
relative_absolute_error
0.02502428762690835
relative_absolute_error
0.023218458880519353
relative_absolute_error
0.0276274053173259
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
0.05413014128891221
root_mean_squared_error
0.05125883195686658
root_mean_squared_error
0.05417327823395276
root_mean_squared_error
0.05508912288716322
root_mean_squared_error
0.05413613685020039
root_mean_squared_error
0.05596301098567599
root_mean_squared_error
0.05668570603843794
root_mean_squared_error
0.053111765730029875
root_mean_squared_error
0.050117255967913055
root_mean_squared_error
0.0554559552389725
root_relative_squared_error
0.1804630728419705
root_relative_squared_error
0.17089032757869752
root_relative_squared_error
0.1806071141385293
root_relative_squared_error
0.18366042870999041
root_relative_squared_error
0.18048328928699167
root_relative_squared_error
0.18657386481307214
root_relative_squared_error
0.18898324212676954
root_relative_squared_error
0.1770680076823581
root_relative_squared_error
0.16708474293776476
root_relative_squared_error
0.18488295486483097
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_training
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