10315682
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)
8154530
l2_regularization
0.01
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
16
12677
max_depth
8
12677
max_iter
500
12677
max_leaf_nodes
8
12677
min_samples_leaf
5
12677
n_iter_no_change
null
12677
random_state
1728
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
21553025
description
https://api.openml.org/data/download/21553025/description.xml
-1
21553026
predictions
https://api.openml.org/data/download/21553026/predictions.arff
area_under_roc_curve
0.9995742726375503 [0.999915,0.999817,0.999557,0.99929,0.999506,0.999585,0.999832,0.999468,0.999522,0.999236]
average_cost
0
f_measure
0.9791546110511641 [0.98871,0.988832,0.976382,0.974601,0.979048,0.975234,0.98481,0.978064,0.973546,0.970895]
kappa
0.9768336959254608
kb_relative_information_score
0.9774046451511318
mean_absolute_error
0.005869308587487382
mean_prior_absolute_error
0.1799414337543242
number_of_instances
70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958]
precision
0.9791602612066028 [0.987852,0.988456,0.97395,0.979355,0.978904,0.977407,0.984309,0.97793,0.971133,0.970964]
predictive_accuracy
0.9791571428571428
prior_entropy
3.319837025446073
recall
0.9791571428571428 [0.98957,0.989209,0.978827,0.969892,0.979191,0.973071,0.985311,0.978198,0.975971,0.970825]
relative_absolute_error
0.03261788274678753
root_mean_prior_squared_error
0.2999511838524139
root_mean_squared_error
0.05662958173438788
root_relative_squared_error
0.18879599342488856
total_cost
0
area_under_roc_curve
0.9996292683075515 [0.999975,0.999832,0.999401,0.999003,0.999855,0.999699,0.999857,0.9996,0.999472,0.999603]
area_under_roc_curve
0.9995179474461862 [0.999872,0.999883,0.99969,0.999143,0.998781,0.99912,0.999744,0.999807,0.999542,0.999498]
area_under_roc_curve
0.9996168443113355 [0.999904,0.999923,0.999679,0.999688,0.999767,0.999609,0.999743,0.999604,0.99912,0.999087]
area_under_roc_curve
0.9994268719521127 [0.999925,0.99977,0.999218,0.999435,0.999112,0.999325,0.999765,0.999631,0.999584,0.998444]
area_under_roc_curve
0.9995727989401836 [0.999938,0.999217,0.999643,0.999129,0.9998,0.999786,0.99988,0.999611,0.999443,0.999366]
area_under_roc_curve
0.9995770252348078 [0.999898,0.999917,0.999421,0.999414,0.999142,0.99976,0.999795,0.999555,0.999431,0.999409]
area_under_roc_curve
0.9995009121064693 [0.999949,0.99995,0.99957,0.998812,0.999433,0.99973,0.999889,0.998638,0.999595,0.999471]
area_under_roc_curve
0.9995922651453681 [0.999905,0.999978,0.999825,0.999311,0.999733,0.999537,0.999913,0.999156,0.999651,0.998895]
area_under_roc_curve
0.999721603648598 [0.99994,0.999963,0.999778,0.999519,0.99972,0.999602,0.999898,0.999655,0.999808,0.999304]
area_under_roc_curve
0.999627392723443 [0.999859,0.999823,0.999371,0.999527,0.999752,0.9997,0.999878,0.99948,0.999599,0.999284]
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
0.9801392878245279 [0.992775,0.986616,0.977841,0.974719,0.98606,0.973747,0.986202,0.978261,0.969253,0.974802]
f_measure
0.9809998832051936 [0.988456,0.988608,0.97851,0.977433,0.984547,0.97619,0.98538,0.980874,0.971554,0.97711]
f_measure
0.9795631360966958 [0.984058,0.986784,0.976412,0.977003,0.979381,0.981644,0.984772,0.982841,0.97349,0.968391]
f_measure
0.9789953127788936 [0.988456,0.989193,0.975124,0.969611,0.979472,0.97293,0.986162,0.979452,0.971636,0.976276]
f_measure
0.9785664837575493 [0.991317,0.987937,0.974395,0.968332,0.980335,0.978554,0.986142,0.97264,0.979472,0.966114]
f_measure
0.9784356602366489 [0.988406,0.987875,0.969395,0.974648,0.974434,0.979332,0.983394,0.978022,0.972141,0.975645]
f_measure
0.9770091675835494 [0.990532,0.988564,0.977208,0.970213,0.971512,0.974643,0.981187,0.975138,0.970888,0.968661]
f_measure
0.9801367713992437 [0.98917,0.993647,0.98,0.972555,0.98538,0.968454,0.984012,0.978635,0.978817,0.9683]
f_measure
0.9814254263283717 [0.989123,0.989861,0.978693,0.980973,0.978006,0.976966,0.985444,0.980848,0.978229,0.974619]
f_measure
0.9762771162868077 [0.984816,0.989247,0.976276,0.98042,0.971387,0.969984,0.985444,0.973901,0.969963,0.959022]
kappa
0.977929255119392
kappa
0.9788817254360724
kappa
0.9772931136682911
kappa
0.97665911925262
kappa
0.9761826575132158
kappa
0.9760243804604644
kappa
0.9744366705258145
kappa
0.9779298198211358
kappa
0.9793582179618391
kappa
0.9736420752143119
kb_relative_information_score
0.9773076232978581
kb_relative_information_score
0.978385561824663
kb_relative_information_score
0.9773435643641807
kb_relative_information_score
0.977122946683635
kb_relative_information_score
0.9772945048563711
kb_relative_information_score
0.9767206001277975
kb_relative_information_score
0.9758896622429376
kb_relative_information_score
0.9783890508560976
kb_relative_information_score
0.9791811849105863
kb_relative_information_score
0.9764117461909371
mean_absolute_error
0.005777867360268154
mean_absolute_error
0.00577959000891748
mean_absolute_error
0.005883723085005352
mean_absolute_error
0.0058822311424564285
mean_absolute_error
0.005847593107720262
mean_absolute_error
0.005944842828213958
mean_absolute_error
0.006219766369023976
mean_absolute_error
0.005660962023469279
mean_absolute_error
0.005584496310648315
mean_absolute_error
0.006112013639150048
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
0.9801583145200872 [0.991342,0.98977,0.977143,0.977465,0.986784,0.977636,0.984058,0.97035,0.969253,0.976912]
precision
0.9810341130145391 [0.985612,0.984868,0.979914,0.984375,0.988183,0.977742,0.991176,0.976871,0.968023,0.972934]
precision
0.9795950193208766 [0.984058,0.978777,0.975714,0.972261,0.983728,0.988746,0.982634,0.983516,0.979259,0.968391]
precision
0.9790332884675348 [0.984195,0.991083,0.968927,0.978602,0.979472,0.9776,0.988321,0.978112,0.965318,0.976978]
precision
0.978589344423883 [0.989884,0.988564,0.968883,0.973126,0.973951,0.980892,0.989751,0.969986,0.98091,0.969609]
precision
0.9784740413382611 [0.988406,0.993582,0.964589,0.98017,0.972303,0.982456,0.977044,0.979367,0.972141,0.972857]
precision
0.9770979229852527 [0.995608,0.989822,0.97305,0.982759,0.969388,0.974643,0.976945,0.981919,0.963873,0.960452]
precision
0.9801522048085063 [0.985612,0.994911,0.978602,0.978754,0.983942,0.965409,0.982583,0.98338,0.975255,0.969697]
precision
0.9814762198698308 [0.98984,0.988608,0.971791,0.987234,0.979442,0.980861,0.985444,0.979508,0.968391,0.982456]
precision
0.9762805817593848 [0.984104,0.984887,0.981214,0.97905,0.9721,0.968454,0.985444,0.976584,0.969253,0.959712]
predictive_accuracy
0.9801428571428572
predictive_accuracy
0.981
predictive_accuracy
0.9795714285714285
predictive_accuracy
0.9790000000000001
predictive_accuracy
0.9785714285714286
predictive_accuracy
0.9784285714285714
predictive_accuracy
0.977
predictive_accuracy
0.9801428571428572
predictive_accuracy
0.9814285714285714
predictive_accuracy
0.9762857142857143
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
0.9801428571428571 [0.994211,0.983482,0.978541,0.971989,0.985337,0.969889,0.988355,0.986301,0.969253,0.972701]
recall
0.981 [0.991317,0.992376,0.97711,0.970588,0.980938,0.974643,0.979651,0.984911,0.97511,0.981322]
recall
0.9795714285714285 [0.984058,0.994924,0.97711,0.981793,0.975073,0.974643,0.986919,0.982167,0.967789,0.968391]
recall
0.979 [0.992754,0.98731,0.981402,0.960784,0.979472,0.968304,0.984012,0.980796,0.978038,0.975575]
recall
0.9785714285714285 [0.992754,0.98731,0.979971,0.963585,0.986804,0.976228,0.982558,0.975309,0.978038,0.962644]
recall
0.9784285714285714 [0.988406,0.982234,0.974249,0.969188,0.976574,0.976228,0.989826,0.97668,0.972141,0.978448]
recall
0.977 [0.985507,0.98731,0.981402,0.957983,0.973646,0.974643,0.985465,0.96845,0.978006,0.977011]
recall
0.9801428571428571 [0.992754,0.992386,0.981402,0.966434,0.986823,0.971519,0.985444,0.973937,0.982405,0.966906]
recall
0.9814285714285714 [0.988406,0.991117,0.985694,0.97479,0.976574,0.973101,0.985444,0.982192,0.98827,0.966906]
recall
0.9762857142857143 [0.985528,0.993647,0.971388,0.981793,0.970674,0.971519,0.985444,0.971233,0.970674,0.958333]
relative_absolute_error
0.032109693413928816
relative_absolute_error
0.032119236417176546
relative_absolute_error
0.0326980131724476
relative_absolute_error
0.03268972189897799
relative_absolute_error
0.03249722560034061
relative_absolute_error
0.033037677989910315
relative_absolute_error
0.03456552921753582
relative_absolute_error
0.03146002083892112
relative_absolute_error
0.031035083815311636
relative_absolute_error
0.033966625393951344
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
0.05639284896908779
root_mean_squared_error
0.054921765183225946
root_mean_squared_error
0.05660527475812257
root_mean_squared_error
0.057453958097926604
root_mean_squared_error
0.05691958028698172
root_mean_squared_error
0.057790875076827536
root_mean_squared_error
0.05899517922866181
root_mean_squared_error
0.05537690858460104
root_mean_squared_error
0.053697747487837816
root_mean_squared_error
0.05794240254594605
root_relative_squared_error
0.18800665523774104
root_relative_squared_error
0.1831020740242307
root_relative_squared_error
0.18871509445916562
root_relative_squared_error
0.19154450138849172
root_relative_squared_error
0.18976295082628242
root_relative_squared_error
0.19266774114017804
root_relative_squared_error
0.19668274455155024
root_relative_squared_error
0.1846197116572095
root_relative_squared_error
0.17902165954749483
root_relative_squared_error
0.1931724473683504
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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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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_training
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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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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
2298.9604473114014
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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