10330511
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)
8156877
l2_regularization
0.0001
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
4
12677
max_depth
4
12677
max_iter
300
12677
max_leaf_nodes
32
12677
min_samples_leaf
37
12677
n_iter_no_change
null
12677
random_state
32036
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
21582721
description
https://api.openml.org/data/download/21582721/description.xml
-1
21582722
predictions
https://api.openml.org/data/download/21582722/predictions.arff
area_under_roc_curve
0.9996243532491497 [0.999911,0.999858,0.999634,0.999477,0.999515,0.999649,0.999838,0.99957,0.999511,0.999259]
average_cost
0
f_measure
0.9794575914115379 [0.988056,0.990099,0.977806,0.975503,0.978172,0.977605,0.985103,0.978315,0.972464,0.970019]
kappa
0.9771671781998292
kb_relative_information_score
0.9772782875181213
mean_absolute_error
0.006081549413651038
mean_prior_absolute_error
0.1799414337543242
number_of_instances
70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958]
precision
0.9794688500493828 [0.987413,0.989973,0.975509,0.98075,0.977885,0.980252,0.984459,0.979255,0.96956,0.968213]
predictive_accuracy
0.9794571428571429
prior_entropy
3.319837025446073
recall
0.9794571428571428 [0.988701,0.990225,0.980114,0.970312,0.978458,0.974972,0.985748,0.977376,0.975385,0.971831]
relative_absolute_error
0.03379738221911823
root_mean_prior_squared_error
0.2999511838524139
root_mean_squared_error
0.055934138610053134
root_relative_squared_error
0.18647747240622534
total_cost
0
area_under_roc_curve
0.9997039415605093 [0.99998,0.999889,0.999499,0.999469,0.999818,0.99977,0.99989,0.999529,0.999648,0.999551]
area_under_roc_curve
0.9996133376484428 [0.999886,0.999913,0.999737,0.999409,0.998858,0.999575,0.999741,0.99977,0.999536,0.99965]
area_under_roc_curve
0.9995985367494601 [0.999895,0.999882,0.999706,0.999711,0.999741,0.999755,0.999682,0.999563,0.998989,0.999033]
area_under_roc_curve
0.9994312673880363 [0.999913,0.999635,0.9993,0.999515,0.999106,0.999348,0.999799,0.99963,0.999517,0.998507]
area_under_roc_curve
0.9996570447974337 [0.999902,0.999657,0.999709,0.999345,0.999783,0.999797,0.999932,0.999694,0.999306,0.999467]
area_under_roc_curve
0.9996124614993627 [0.999923,0.999911,0.999511,0.999605,0.998991,0.999688,0.99982,0.999685,0.999502,0.999444]
area_under_roc_curve
0.9995774880922559 [0.999957,0.999941,0.999614,0.9989,0.999596,0.999751,0.999897,0.9989,0.999627,0.999618]
area_under_roc_curve
0.9996545347643917 [0.99986,0.999967,0.999812,0.999483,0.999764,0.999461,0.999935,0.999566,0.99969,0.998963]
area_under_roc_curve
0.9997396733071953 [0.999917,0.99996,0.999812,0.999662,0.999784,0.999692,0.999876,0.99975,0.999785,0.999132]
area_under_roc_curve
0.999697902799341 [0.999885,0.999886,0.999675,0.999744,0.999722,0.999651,0.999849,0.999683,0.999582,0.999275]
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
0.9802823230309533 [0.994939,0.987261,0.97568,0.97195,0.981712,0.980174,0.984749,0.980874,0.968498,0.976242]
f_measure
0.9801458803105465 [0.986282,0.988593,0.977778,0.976711,0.980882,0.980922,0.984683,0.98152,0.967883,0.975089]
f_measure
0.9791294226881158 [0.982634,0.989873,0.981481,0.979109,0.979412,0.979299,0.984035,0.977351,0.972059,0.964672]
f_measure
0.9785662625708534 [0.988456,0.989848,0.972857,0.973852,0.973607,0.974563,0.986182,0.977382,0.973761,0.973477]
f_measure
0.9798733238714682 [0.991292,0.989179,0.979389,0.974576,0.978755,0.98324,0.9869,0.973973,0.975291,0.965714]
f_measure
0.9778645637821762 [0.987672,0.98789,0.975053,0.973962,0.969298,0.97852,0.983345,0.980151,0.972854,0.968526]
f_measure
0.978854060287927 [0.990573,0.992386,0.974432,0.97155,0.975219,0.977039,0.984749,0.974394,0.973723,0.972934]
f_measure
0.9801420086379172 [0.987726,0.990464,0.977273,0.970381,0.990462,0.972376,0.987672,0.982723,0.973723,0.966906]
f_measure
0.9817119769070416 [0.985486,0.991788,0.983536,0.982357,0.978786,0.976966,0.984749,0.976744,0.976778,0.978292]
f_measure
0.9779959999269069 [0.985507,0.993671,0.980617,0.980474,0.973646,0.973016,0.983965,0.978022,0.970007,0.958333]
kappa
0.9780882591312416
kappa
0.9779291174439295
kappa
0.9768172965469952
kappa
0.9761827126189093
kappa
0.9776117869337126
kappa
0.9753889906131342
kappa
0.9765008004244736
kappa
0.9779299054249948
kappa
0.9796756326237218
kappa
0.9755472821087606
kb_relative_information_score
0.9773598303664722
kb_relative_information_score
0.9778273422827022
kb_relative_information_score
0.9765154879013817
kb_relative_information_score
0.9763958771248261
kb_relative_information_score
0.9777626987174579
kb_relative_information_score
0.9767885670315777
kb_relative_information_score
0.9765410255438883
kb_relative_information_score
0.9779616394625725
kb_relative_information_score
0.9793924818683196
kb_relative_information_score
0.9762379221958778
mean_absolute_error
0.006009969840622888
mean_absolute_error
0.006019461134590906
mean_absolute_error
0.006192310272470929
mean_absolute_error
0.006207727542779358
mean_absolute_error
0.006042285437492146
mean_absolute_error
0.006121900369126091
mean_absolute_error
0.006248136758488445
mean_absolute_error
0.005989685032780879
mean_absolute_error
0.005690818143434268
mean_absolute_error
0.006293199604724075
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
0.9802853496964214 [0.99422,0.989783,0.97568,0.973315,0.979562,0.980952,0.982609,0.978202,0.969208,0.978355]
precision
0.9801892462804781 [0.98415,0.986094,0.979885,0.984353,0.983776,0.984051,0.988287,0.979508,0.965066,0.96615]
precision
0.9791399700445245 [0.981214,0.987374,0.977305,0.973684,0.982301,0.984,0.982609,0.978022,0.976366,0.968162]
precision
0.9785884190539094 [0.984195,0.989848,0.971469,0.982882,0.973607,0.977671,0.9869,0.976712,0.969521,0.971388]
precision
0.9799408187791075 [0.992733,0.992337,0.973164,0.982906,0.978038,0.990354,0.988338,0.97264,0.968254,0.960227]
precision
0.9778940491261018 [0.988389,0.992318,0.971591,0.978784,0.967883,0.982428,0.979798,0.978142,0.973568,0.964387]
precision
0.9789474887397805 [0.991292,0.992386,0.96756,0.986994,0.970972,0.976266,0.984035,0.98324,0.969477,0.964689]
precision
0.9801884907106339 [0.984173,0.992357,0.970381,0.978663,0.992647,0.970079,0.984104,0.990251,0.969477,0.966906]
precision
0.981756962633329 [0.986919,0.987421,0.984241,0.990043,0.97807,0.980861,0.982609,0.97541,0.966954,0.983988]
precision
0.9780066933163793 [0.986938,0.989912,0.98415,0.976389,0.972222,0.976115,0.985401,0.980716,0.967883,0.958333]
predictive_accuracy
0.9802857142857142
predictive_accuracy
0.9801428571428572
predictive_accuracy
0.9791428571428571
predictive_accuracy
0.9785714285714286
predictive_accuracy
0.9798571428571428
predictive_accuracy
0.9778571428571429
predictive_accuracy
0.9788571428571429
predictive_accuracy
0.9801428571428572
predictive_accuracy
0.9817142857142858
predictive_accuracy
0.978
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
0.9802857142857143 [0.995658,0.984752,0.97568,0.970588,0.983871,0.979398,0.9869,0.983562,0.967789,0.974138]
recall
0.9801428571428571 [0.988423,0.991105,0.97568,0.969188,0.978006,0.977813,0.981105,0.983539,0.970717,0.984195]
recall
0.9791428571428571 [0.984058,0.992386,0.985694,0.984594,0.97654,0.974643,0.985465,0.97668,0.967789,0.961207]
recall
0.9785714285714285 [0.992754,0.989848,0.974249,0.964986,0.973607,0.971474,0.985465,0.978052,0.978038,0.975575]
recall
0.9798571428571429 [0.989855,0.986041,0.985694,0.966387,0.979472,0.976228,0.985465,0.975309,0.98243,0.971264]
recall
0.9778571428571429 [0.986957,0.983503,0.978541,0.969188,0.970717,0.974643,0.986919,0.982167,0.972141,0.972701]
recall
0.9788571428571429 [0.989855,0.992386,0.981402,0.956583,0.979502,0.977813,0.985465,0.965706,0.978006,0.981322]
recall
0.9801428571428571 [0.991304,0.988579,0.984263,0.962238,0.988287,0.974684,0.991266,0.975309,0.978006,0.966906]
recall
0.9817142857142858 [0.984058,0.996193,0.982833,0.97479,0.979502,0.973101,0.9869,0.978082,0.986804,0.972662]
recall
0.978 [0.984081,0.997459,0.97711,0.984594,0.975073,0.969937,0.982533,0.975342,0.972141,0.958333]
relative_absolute_error
0.033399570633342354
relative_absolute_error
0.03345228554060427
relative_absolute_error
0.034412945669239095
relative_absolute_error
0.03449862511069903
relative_absolute_error
0.0335792024832567
relative_absolute_error
0.03402165186295851
relative_absolute_error
0.034723193905848035
relative_absolute_error
0.03328685392494101
relative_absolute_error
0.03162595303759366
relative_absolute_error
0.034973540002235855
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
0.05570371405601916
root_mean_squared_error
0.054796282671838406
root_mean_squared_error
0.05694154195812851
root_mean_squared_error
0.057698378446206275
root_mean_squared_error
0.05499342159976328
root_mean_squared_error
0.05706654145159161
root_mean_squared_error
0.05709676523672093
root_mean_squared_error
0.05493599768546049
root_mean_squared_error
0.05277430298086204
root_mean_squared_error
0.05714282212581645
root_relative_squared_error
0.18570916624078318
root_relative_squared_error
0.18268373153264877
root_relative_squared_error
0.18983616836409414
root_relative_squared_error
0.19235936907194415
root_relative_squared_error
0.18334137226924851
root_relative_squared_error
0.19025290102535788
root_relative_squared_error
0.19035366344506227
root_relative_squared_error
0.18314976966972044
root_relative_squared_error
0.17594300958780582
root_relative_squared_error
0.19050675005796067
total_cost
0
total_cost
0
total_cost
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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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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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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
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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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usercpu_time_millis_training
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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
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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
1605.9989929199219
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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