10330428
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)
8155121
l2_regularization
1e-06
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
64
12677
max_depth
6
12677
max_iter
500
12677
max_leaf_nodes
4
12677
min_samples_leaf
13
12677
n_iter_no_change
null
12677
random_state
41170
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
21582553
description
https://api.openml.org/data/download/21582553/description.xml
-1
21582554
predictions
https://api.openml.org/data/download/21582554/predictions.arff
area_under_roc_curve
0.9794292888992306 [0.978981,0.994768,0.955997,0.967295,0.981497,0.977171,0.979241,0.986249,0.981318,0.989709]
average_cost
0
f_measure
0.9389645047229523 [0.955241,0.974398,0.912893,0.917423,0.939274,0.924941,0.952256,0.945192,0.930233,0.932324]
kappa
0.9322312896163925
kb_relative_information_score
0.9269483332172208
mean_absolute_error
0.018928441177664727
mean_prior_absolute_error
0.1799414337543242
number_of_instances
70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958]
precision
0.9389583802331428 [0.952079,0.968049,0.917244,0.929691,0.937902,0.924648,0.953089,0.946883,0.928603,0.926241]
predictive_accuracy
0.9390285714285714
prior_entropy
3.319837025446073
recall
0.9390285714285714 [0.958424,0.98083,0.908584,0.905475,0.940651,0.925234,0.951425,0.943507,0.931868,0.938488]
relative_absolute_error
0.1051922327322784
root_mean_prior_squared_error
0.2999511838524139
root_mean_squared_error
0.10112676192307868
root_relative_squared_error
0.3371440666586482
total_cost
0
area_under_roc_curve
0.9807409801755322 [0.981588,0.994931,0.97605,0.959364,0.980927,0.981963,0.98989,0.960697,0.990544,0.991579]
area_under_roc_curve
0.9813943197720035 [0.980976,0.995482,0.937988,0.984915,0.986903,0.984483,0.975098,0.994681,0.980773,0.990581]
area_under_roc_curve
0.97965265784217 [0.976543,0.991554,0.961091,0.97463,0.98502,0.980826,0.963161,0.994167,0.974722,0.992671]
area_under_roc_curve
0.9986115885901186 [0.999802,0.999421,0.998642,0.997216,0.998284,0.998871,0.999639,0.998473,0.999206,0.996549]
area_under_roc_curve
0.9800488311523932 [0.981171,0.996934,0.961123,0.965939,0.985885,0.976775,0.981211,0.981792,0.975986,0.991564]
area_under_roc_curve
0.9780887761054082 [0.97407,0.994487,0.956505,0.959279,0.975076,0.984551,0.983931,0.979957,0.980294,0.991685]
area_under_roc_curve
0.9776869427481699 [0.977862,0.994758,0.961926,0.951792,0.979672,0.968286,0.982309,0.989237,0.98256,0.985713]
area_under_roc_curve
0.9746266656880973 [0.968407,0.995753,0.944894,0.962224,0.976582,0.96018,0.971934,0.987659,0.985548,0.989002]
area_under_roc_curve
0.9719756799090283 [0.974351,0.994142,0.931981,0.966985,0.972241,0.96713,0.96802,0.988524,0.974885,0.977656]
area_under_roc_curve
0.9726878053376802 [0.978729,0.991468,0.93177,0.951947,0.976421,0.970037,0.977899,0.98533,0.969879,0.990923]
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
0.9392383724805516 [0.963017,0.977186,0.916844,0.909348,0.943918,0.9271,0.966618,0.922438,0.935578,0.926481]
f_measure
0.9443413742500549 [0.958273,0.981037,0.905523,0.934659,0.952802,0.929936,0.948137,0.958419,0.931109,0.937191]
f_measure
0.9353472811209119 [0.940159,0.964442,0.921316,0.928471,0.931287,0.923323,0.940746,0.949897,0.919881,0.928264]
f_measure
0.9675723671951042 [0.982684,0.985378,0.956584,0.952717,0.970717,0.958036,0.982482,0.966323,0.95684,0.961373]
f_measure
0.9394795140101136 [0.960403,0.969887,0.914327,0.916312,0.940407,0.937997,0.951825,0.938187,0.924763,0.937365]
f_measure
0.9369820709736392 [0.952933,0.975207,0.913917,0.904225,0.92598,0.931116,0.957277,0.941741,0.931567,0.931034]
f_measure
0.9366387398652041 [0.953069,0.977834,0.911175,0.910663,0.925524,0.915873,0.947216,0.94962,0.932945,0.935231]
f_measure
0.930161458669205 [0.937771,0.970384,0.899709,0.905579,0.944363,0.90694,0.938182,0.935262,0.926865,0.930035]
f_measure
0.9308895238194861 [0.951833,0.973075,0.895225,0.904286,0.924444,0.910658,0.943066,0.954141,0.928152,0.916427]
f_measure
0.9288873083456457 [0.952243,0.969849,0.893431,0.907551,0.933432,0.908805,0.946986,0.935616,0.914536,0.919801]
kappa
0.9325186914151663
kappa
0.938232720870195
kappa
0.9282251785755968
kappa
0.963956999725311
kappa
0.9328332278309162
kappa
0.9299780566154746
kappa
0.9296611987945549
kappa
0.9225151860935263
kappa
0.9233067933100387
kappa
0.9210840560055046
kb_relative_information_score
0.9262441157041681
kb_relative_information_score
0.9312460298441411
kb_relative_information_score
0.9235241414430143
kb_relative_information_score
0.9589436337610533
kb_relative_information_score
0.9252328153955021
kb_relative_information_score
0.9261611405127294
kb_relative_information_score
0.924215741557571
kb_relative_information_score
0.9202136339586714
kb_relative_information_score
0.9185897431309036
kb_relative_information_score
0.915112460809247
mean_absolute_error
0.019422867982365748
mean_absolute_error
0.018010836987530133
mean_absolute_error
0.01957816924469192
mean_absolute_error
0.011664535788951148
mean_absolute_error
0.019398033497876707
mean_absolute_error
0.01905539622722771
mean_absolute_error
0.019327178705474526
mean_absolute_error
0.02004354640209403
mean_absolute_error
0.021114139234900027
mean_absolute_error
0.021669707705531855
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
0.9392653865036633 [0.965116,0.974716,0.911017,0.919771,0.937771,0.9271,0.963821,0.932773,0.935578,0.920567]
precision
0.9444476588768748 [0.95279,0.976101,0.920236,0.948127,0.958457,0.9344,0.95301,0.952575,0.922414,0.920943]
precision
0.9353853778616388 [0.935438,0.948466,0.921316,0.929775,0.928571,0.930757,0.946981,0.950549,0.932331,0.926934]
precision
0.967602893808342 [0.978448,0.987261,0.951841,0.960171,0.969298,0.957278,0.986804,0.96832,0.95614,0.957265]
precision
0.9394828736872424 [0.95422,0.959057,0.92029,0.928161,0.932277,0.940989,0.956012,0.939477,0.922741,0.939394]
precision
0.9369912222620107 [0.952243,0.97707,0.916547,0.909348,0.917986,0.93038,0.953824,0.941096,0.935007,0.931034]
precision
0.936783440890313 [0.94964,0.97598,0.912482,0.937685,0.914286,0.917329,0.942446,0.955556,0.927536,0.926657]
precision
0.9302811017257955 [0.936416,0.963705,0.914328,0.926794,0.944363,0.904088,0.9375,0.939142,0.915594,0.913889]
precision
0.9309466989446765 [0.944365,0.960445,0.892045,0.922741,0.935532,0.902174,0.945827,0.953488,0.928152,0.917749]
precision
0.9289389309145705 [0.952243,0.959006,0.912072,0.914651,0.941791,0.903125,0.944928,0.935616,0.911208,0.908836]
predictive_accuracy
0.9392857142857143
predictive_accuracy
0.9444285714285714
predictive_accuracy
0.9354285714285715
predictive_accuracy
0.9675714285714285
predictive_accuracy
0.9395714285714285
predictive_accuracy
0.937
predictive_accuracy
0.9367142857142858
predictive_accuracy
0.9302857142857143
predictive_accuracy
0.9309999999999999
predictive_accuracy
0.929
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
0.9392857142857143 [0.960926,0.97967,0.922747,0.89916,0.950147,0.9271,0.969432,0.912329,0.935578,0.932471]
recall
0.9444285714285714 [0.963821,0.986023,0.891273,0.921569,0.947214,0.925515,0.943314,0.964335,0.939971,0.954023]
recall
0.9354285714285714 [0.944928,0.980964,0.921316,0.927171,0.934018,0.916006,0.934593,0.949246,0.90776,0.929598]
recall
0.9675714285714285 [0.986957,0.983503,0.961373,0.945378,0.972141,0.958796,0.978198,0.964335,0.95754,0.965517]
recall
0.9395714285714286 [0.966667,0.980964,0.908441,0.904762,0.94868,0.935024,0.947674,0.9369,0.926794,0.935345]
recall
0.937 [0.953623,0.97335,0.911302,0.89916,0.934114,0.931854,0.960756,0.942387,0.928152,0.931034]
recall
0.9367142857142857 [0.956522,0.979695,0.909871,0.885154,0.937042,0.914422,0.952035,0.943759,0.938416,0.943966]
recall
0.9302857142857143 [0.93913,0.977157,0.885551,0.885315,0.944363,0.90981,0.938865,0.931413,0.938416,0.946763]
recall
0.931 [0.95942,0.986041,0.898426,0.886555,0.913616,0.919304,0.94032,0.954795,0.928152,0.915108]
recall
0.929 [0.952243,0.98094,0.875536,0.90056,0.92522,0.914557,0.949054,0.935616,0.917889,0.931034]
relative_absolute_error
0.10793988460545653
relative_absolute_error
0.10009262428323361
relative_absolute_error
0.10880308719606617
relative_absolute_error
0.06482411550768354
relative_absolute_error
0.10780200659844198
relative_absolute_error
0.1058978450258607
relative_absolute_error
0.1074082402136029
relative_absolute_error
0.1113892629700632
relative_absolute_error
0.11733897640756247
relative_absolute_error
0.12042624370396168
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
0.10082725407255207
root_mean_squared_error
0.09739738150266085
root_mean_squared_error
0.10335566480280627
root_mean_squared_error
0.07156192226099164
root_mean_squared_error
0.10187979382187622
root_mean_squared_error
0.10251563348502672
root_mean_squared_error
0.1042161614250823
root_mean_squared_error
0.10776147478423158
root_mean_squared_error
0.10685471190206268
root_mean_squared_error
0.10968095465949061
root_relative_squared_error
0.3361453649092532
root_relative_squared_error
0.3247102946922972
root_relative_squared_error
0.3445752030971744
root_relative_squared_error
0.23857873629037785
root_relative_squared_error
0.3396548289312352
root_relative_squared_error
0.3417746401807689
root_relative_squared_error
0.34744399328401765
root_relative_squared_error
0.35926332673530226
root_relative_squared_error
0.3562404151032475
root_relative_squared_error
0.3656620628471549
total_cost
0
total_cost
0
total_cost
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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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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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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_training
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wall_clock_time_millis_training
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