10330471
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)
8154375
l2_regularization
1e-10
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
2
12677
max_depth
18
12677
max_iter
500
12677
max_leaf_nodes
32
12677
min_samples_leaf
8
12677
n_iter_no_change
null
12677
random_state
55466
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
21582640
description
https://api.openml.org/data/download/21582640/description.xml
-1
21582641
predictions
https://api.openml.org/data/download/21582641/predictions.arff
area_under_roc_curve
0.9997552100856285 [0.999945,0.99989,0.999766,0.999653,0.999666,0.999743,0.999861,0.999757,0.999707,0.999549]
average_cost
0
f_measure
0.9836399154249441 [0.990457,0.990928,0.982441,0.980704,0.984309,0.980473,0.98729,0.983209,0.978649,0.976801]
kappa
0.9818194434310614
kb_relative_information_score
0.9838142772877175
mean_absolute_error
0.0035409147648159498
mean_prior_absolute_error
0.1799414337543242
number_of_instances
70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958]
precision
0.9836473442402963 [0.988599,0.990363,0.980342,0.9864,0.985031,0.982657,0.986073,0.982872,0.976792,0.97631]
predictive_accuracy
0.9836428571428572
prior_entropy
3.319837025446073
recall
0.9836428571428572 [0.992322,0.991494,0.984549,0.975074,0.983587,0.978299,0.988511,0.983546,0.980513,0.977292]
relative_absolute_error
0.01967815133478594
root_mean_prior_squared_error
0.2999511838524139
root_mean_squared_error
0.052461729458709416
root_relative_squared_error
0.17490089148813748
total_cost
0
area_under_roc_curve
0.9998133528868133 [0.999981,0.999919,0.999681,0.999663,0.999918,0.999805,0.999897,0.999782,0.999735,0.999746]
area_under_roc_curve
0.9997193364328598 [0.999923,0.999946,0.999756,0.999677,0.998929,0.999592,0.999859,0.99984,0.999745,0.999867]
area_under_roc_curve
0.9997430132191114 [0.999939,0.999901,0.999842,0.999764,0.999877,0.999879,0.99952,0.999751,0.999417,0.999527]
area_under_roc_curve
0.999590673546285 [0.999956,0.999796,0.999516,0.999562,0.999585,0.999507,0.999833,0.999621,0.999604,0.998898]
area_under_roc_curve
0.9998165764475181 [0.999959,0.999665,0.99985,0.999756,0.9999,0.999876,0.999913,0.999878,0.999673,0.999722]
area_under_roc_curve
0.9997513002671146 [0.999938,0.999939,0.999763,0.999778,0.999192,0.999767,0.999899,0.999868,0.999709,0.999623]
area_under_roc_curve
0.9997293459916413 [0.999973,0.99997,0.999772,0.999279,0.999727,0.999831,0.999947,0.999426,0.999737,0.99964]
area_under_roc_curve
0.9997853008082986 [0.999943,0.999944,0.999863,0.999614,0.999882,0.99965,0.999938,0.999871,0.999774,0.999346]
area_under_roc_curve
0.9998308246927928 [0.999966,0.999973,0.999841,0.999713,0.999808,0.999746,0.999905,0.999858,0.999881,0.999594]
area_under_roc_curve
0.999801428921541 [0.999876,0.999882,0.999796,0.999779,0.999832,0.999781,0.999934,0.999727,0.999824,0.999579]
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
0.9829966814940803 [0.993502,0.991725,0.980673,0.979592,0.988338,0.976892,0.986202,0.976871,0.972222,0.982659]
f_measure
0.9847106775865071 [0.987013,0.989861,0.982857,0.983051,0.988979,0.982512,0.985486,0.987654,0.974359,0.984286]
f_measure
0.9839941812382208 [0.987708,0.988622,0.985673,0.984594,0.986765,0.983373,0.985486,0.986283,0.97654,0.974063]
f_measure
0.981709249820055 [0.989201,0.991746,0.980728,0.975921,0.980132,0.979398,0.987618,0.977382,0.978102,0.975714]
f_measure
0.9832824013602199 [0.993474,0.988608,0.985032,0.974612,0.983125,0.983267,0.989826,0.982888,0.97807,0.973515]
f_measure
0.9832912373843522 [0.989138,0.989193,0.975852,0.981664,0.97807,0.988086,0.989855,0.980822,0.98457,0.975575]
f_measure
0.9838609791814863 [0.992733,0.992376,0.979476,0.978092,0.982456,0.980952,0.986242,0.982747,0.982379,0.980029]
f_measure
0.9826987228822722 [0.989914,0.992386,0.98356,0.977496,0.988287,0.973872,0.986242,0.984848,0.978878,0.969565]
f_measure
0.9858519323012299 [0.991329,0.991117,0.987124,0.98518,0.986081,0.977742,0.985486,0.987031,0.983273,0.982659]
f_measure
0.9840051062064155 [0.990587,0.993663,0.983513,0.986741,0.980826,0.978656,0.99049,0.985607,0.978102,0.969914]
kappa
0.9811048902925659
kappa
0.983010227094741
kappa
0.9822161954884711
kappa
0.9796760572204277
kappa
0.9814221820915143
kappa
0.981422577366289
kappa
0.98205785228908
kappa
0.9807876248169268
kappa
0.9842805339909408
kappa
0.9822163157001373
kb_relative_information_score
0.9831868700472651
kb_relative_information_score
0.9854997517014368
kb_relative_information_score
0.9837047191791694
kb_relative_information_score
0.982067958445373
kb_relative_information_score
0.9840908944501663
kb_relative_information_score
0.9836344500211492
kb_relative_information_score
0.9834694648353665
kb_relative_information_score
0.9827038005004698
kb_relative_information_score
0.9857404047025168
kb_relative_information_score
0.9840444453802515
mean_absolute_error
0.0035954845245102936
mean_absolute_error
0.0032428391855949252
mean_absolute_error
0.0035258555405129313
mean_absolute_error
0.003914742050933517
mean_absolute_error
0.0035115153499741883
mean_absolute_error
0.0035956228109799535
mean_absolute_error
0.0036156278247167256
mean_absolute_error
0.0037192479368361323
mean_absolute_error
0.0031931214606298434
mean_absolute_error
0.0034950909634705474
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
0.9830293565287641 [0.991354,0.993622,0.981375,0.984441,0.982609,0.982372,0.984058,0.97027,0.970803,0.988372]
precision
0.9847345557282938 [0.984173,0.987358,0.981455,0.991453,0.991163,0.985646,0.984058,0.987654,0.975073,0.978693]
precision
0.9839970854219291 [0.98557,0.984887,0.987088,0.984594,0.989676,0.982595,0.984058,0.986283,0.977974,0.976879]
precision
0.9817505269711964 [0.982833,0.992376,0.978632,0.987106,0.983752,0.979398,0.989781,0.976712,0.975255,0.97017]
precision
0.9833023743621231 [0.994194,0.986111,0.981534,0.981534,0.983847,0.988782,0.989826,0.980874,0.976642,0.970043]
precision
0.9833218338573788 [0.988423,0.991083,0.96897,0.988636,0.976642,0.990446,0.986994,0.97948,0.986745,0.975575]
precision
0.9839273420148865 [0.995627,0.993639,0.969188,0.987161,0.981022,0.982512,0.982684,0.988889,0.983824,0.973088]
precision
0.9827229572065357 [0.984241,0.992386,0.982857,0.983027,0.988287,0.974643,0.981268,0.988935,0.972504,0.976642]
precision
0.9858845442285263 [0.988473,0.991117,0.987124,0.992888,0.986804,0.982428,0.982634,0.983673,0.975469,0.986938]
precision
0.9840323065548648 [0.991304,0.99115,0.985632,0.98331,0.986647,0.977883,0.995588,0.986283,0.973837,0.967143]
predictive_accuracy
0.983
predictive_accuracy
0.9847142857142858
predictive_accuracy
0.9840000000000001
predictive_accuracy
0.9817142857142858
predictive_accuracy
0.9832857142857142
predictive_accuracy
0.9832857142857142
predictive_accuracy
0.9838571428571429
predictive_accuracy
0.9827142857142858
predictive_accuracy
0.9858571428571429
predictive_accuracy
0.9840000000000001
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
0.983 [0.995658,0.989835,0.979971,0.97479,0.994135,0.971474,0.988355,0.983562,0.973646,0.977011]
recall
0.9847142857142858 [0.98987,0.992376,0.984263,0.97479,0.986804,0.979398,0.986919,0.987654,0.973646,0.989943]
recall
0.984 [0.989855,0.992386,0.984263,0.984594,0.983871,0.984152,0.986919,0.986283,0.97511,0.971264]
recall
0.9817142857142858 [0.995652,0.991117,0.982833,0.964986,0.97654,0.979398,0.985465,0.978052,0.980966,0.981322]
recall
0.9832857142857143 [0.992754,0.991117,0.988555,0.967787,0.982405,0.977813,0.989826,0.984911,0.979502,0.977011]
recall
0.9832857142857143 [0.989855,0.98731,0.982833,0.97479,0.979502,0.985737,0.992733,0.982167,0.982405,0.975575]
recall
0.9838571428571429 [0.989855,0.991117,0.989986,0.969188,0.983895,0.979398,0.989826,0.97668,0.980938,0.987069]
recall
0.9827142857142858 [0.995652,0.992386,0.984263,0.972028,0.988287,0.973101,0.991266,0.980796,0.985337,0.96259]
recall
0.9858571428571429 [0.994203,0.991117,0.987124,0.977591,0.985359,0.973101,0.988355,0.990411,0.991202,0.978417]
recall
0.984 [0.98987,0.996188,0.981402,0.990196,0.975073,0.97943,0.985444,0.984932,0.982405,0.972701]
relative_absolute_error
0.019981404652943274
relative_absolute_error
0.018021610236072162
relative_absolute_error
0.019594476021764427
relative_absolute_error
0.021755661389703595
relative_absolute_error
0.019514782308726462
relative_absolute_error
0.019982198358307304
relative_absolute_error
0.020093373577083903
relative_absolute_error
0.020669210836053595
relative_absolute_error
0.017745341146373314
relative_absolute_error
0.01942345886035974
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
0.05365129989044823
root_mean_squared_error
0.04957586279735139
root_mean_squared_error
0.05249610295962937
root_mean_squared_error
0.05548446987711423
root_mean_squared_error
0.05205528901599538
root_mean_squared_error
0.05270065090932906
root_mean_squared_error
0.052961185554563035
root_mean_squared_error
0.05421499011073299
root_mean_squared_error
0.04909919656091672
root_mean_squared_error
0.052055163535190574
root_relative_squared_error
0.17886667593420075
root_relative_squared_error
0.16527952569354323
root_relative_squared_error
0.17501561596683118
root_relative_squared_error
0.18497846744174384
root_relative_squared_error
0.1735459959470137
root_relative_squared_error
0.175697553529326
root_relative_squared_error
0.1765661443149692
root_relative_squared_error
0.18074602027396833
root_relative_squared_error
0.16369065858441825
root_relative_squared_error
0.17354515685259614
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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wall_clock_time_millis
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wall_clock_time_millis_training
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