10330524
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)
8156907
l2_regularization
1.0
12677
learning_rate
1.0
12677
loss
"auto"
12677
max_bins
64
12677
max_depth
14
12677
max_iter
100
12677
max_leaf_nodes
16
12677
min_samples_leaf
39
12677
n_iter_no_change
null
12677
random_state
12964
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
21582747
description
https://api.openml.org/data/download/21582747/description.xml
-1
21582748
predictions
https://api.openml.org/data/download/21582748/predictions.arff
area_under_roc_curve
0.9971443629260013 [0.998436,0.998977,0.997241,0.996374,0.9979,0.995144,0.996018,0.997968,0.995994,0.996934]
average_cost
0
f_measure
0.955127894760262 [0.971723,0.980158,0.948499,0.946555,0.958169,0.940471,0.960128,0.958079,0.938943,0.943941]
kappa
0.9501269755475469
kb_relative_information_score
0.9551993664545877
mean_absolute_error
0.009265429243928319
mean_prior_absolute_error
0.1799414337543242
number_of_instances
70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958]
precision
0.9551342500116031 [0.97271,0.978855,0.949792,0.949422,0.95635,0.936264,0.960687,0.958803,0.939425,0.944077]
predictive_accuracy
0.9551285714285714
prior_entropy
3.319837025446073
recall
0.9551285714285714 [0.970737,0.981465,0.94721,0.943705,0.959994,0.944717,0.95957,0.957356,0.938462,0.943806]
relative_absolute_error
0.05149136055333704
root_mean_prior_squared_error
0.2999511838524139
root_mean_squared_error
0.08867643793684997
root_relative_squared_error
0.29563623252936305
total_cost
0
area_under_roc_curve
0.9978040356613959 [0.999657,0.999288,0.996852,0.997065,0.999475,0.997457,0.996453,0.998495,0.994394,0.998634]
area_under_roc_curve
0.9968450556642187 [0.999294,0.9991,0.995425,0.994198,0.997433,0.994029,0.996883,0.997435,0.996518,0.997648]
area_under_roc_curve
0.9970668142041874 [0.998518,0.999716,0.997784,0.998793,0.99886,0.994858,0.993821,0.998767,0.991682,0.997095]
area_under_roc_curve
0.9975799683879941 [0.998162,0.999492,0.998068,0.997837,0.99878,0.997151,0.997598,0.996451,0.997399,0.99464]
area_under_roc_curve
0.9981585617294063 [0.999367,0.999028,0.998678,0.998182,0.999029,0.996611,0.996889,0.998461,0.997336,0.997727]
area_under_roc_curve
0.9966631039290258 [0.99939,0.999373,0.996742,0.993703,0.997261,0.995833,0.995583,0.996531,0.997009,0.994881]
area_under_roc_curve
0.9971585346494263 [0.99789,0.99972,0.998038,0.995715,0.997655,0.990008,0.998591,0.998014,0.996498,0.998461]
area_under_roc_curve
0.9967300023658818 [0.999579,0.998646,0.998848,0.995278,0.994211,0.993707,0.997582,0.997907,0.995125,0.995815]
area_under_roc_curve
0.9959335941252292 [0.993893,0.997836,0.993932,0.995244,0.998718,0.994461,0.990494,0.999036,0.997634,0.997577]
area_under_roc_curve
0.9981202828920557 [0.998925,0.998792,0.998292,0.998507,0.998609,0.998508,0.997117,0.998597,0.996462,0.997277]
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
0.9572809607082104 [0.976104,0.982211,0.942019,0.946041,0.968312,0.934921,0.963177,0.95551,0.942815,0.956958]
f_measure
0.9558355820186192 [0.971014,0.983565,0.943966,0.942756,0.963018,0.945946,0.955765,0.953804,0.944282,0.950213]
f_measure
0.9544109352529614 [0.970888,0.974327,0.960403,0.949129,0.960177,0.941267,0.957787,0.960771,0.924209,0.940833]
f_measure
0.9547413265046888 [0.973208,0.980916,0.94835,0.945225,0.962209,0.948963,0.962692,0.952381,0.932067,0.937765]
f_measure
0.9576000395465062 [0.975362,0.977041,0.952381,0.957072,0.955007,0.944882,0.958702,0.957418,0.949745,0.944644]
f_measure
0.9534214480390856 [0.973052,0.982234,0.939588,0.942918,0.955701,0.939587,0.964364,0.95251,0.937269,0.94228]
f_measure
0.9545955369045477 [0.965015,0.982211,0.950142,0.944837,0.942378,0.941176,0.962963,0.959338,0.946363,0.946467]
f_measure
0.9520162839157751 [0.973285,0.976388,0.956335,0.94208,0.95818,0.926598,0.963925,0.959889,0.925899,0.931802]
f_measure
0.9550118037655377 [0.968863,0.986023,0.94,0.938776,0.959766,0.935004,0.949202,0.967786,0.950988,0.947674]
f_measure
0.9563990985157284 [0.970397,0.976744,0.951965,0.956643,0.957153,0.946457,0.962692,0.961486,0.935673,0.940751]
kappa
0.9525240951558677
kappa
0.9509350246345646
kappa
0.949348474623529
kappa
0.949666508294229
kappa
0.9528433829626295
kappa
0.9482362418077954
kappa
0.9495089953943631
kappa
0.9466510708754132
kappa
0.9499851214242169
kappa
0.9515708982881571
kb_relative_information_score
0.9572852869162658
kb_relative_information_score
0.9559235256790778
kb_relative_information_score
0.9542670298817402
kb_relative_information_score
0.9551764002824809
kb_relative_information_score
0.9574128864802186
kb_relative_information_score
0.9528322036488813
kb_relative_information_score
0.9553580350978195
kb_relative_information_score
0.951540447118067
kb_relative_information_score
0.9548860762754403
kb_relative_information_score
0.9573117522639787
mean_absolute_error
0.008872446089237283
mean_absolute_error
0.009046889183481692
mean_absolute_error
0.009387841446428468
mean_absolute_error
0.009390828438166582
mean_absolute_error
0.008892517523243219
mean_absolute_error
0.009686269261083718
mean_absolute_error
0.009287758093822967
mean_absolute_error
0.009919779784029817
mean_absolute_error
0.009233477934820801
mean_absolute_error
0.008936484684972951
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
0.9572947519061984 [0.976812,0.982211,0.942693,0.946704,0.973333,0.936407,0.955587,0.954856,0.9442,0.955587]
precision
0.9558943190763913 [0.972424,0.978616,0.948052,0.951498,0.971642,0.948963,0.95369,0.944818,0.945668,0.940845]
precision
0.954618277841985 [0.975146,0.961681,0.966667,0.944521,0.965875,0.918552,0.959184,0.964088,0.928994,0.956909]
precision
0.9548560854347143 [0.972504,0.983418,0.951079,0.947887,0.95389,0.955056,0.969072,0.958333,0.930029,0.923398]
precision
0.9577191632829535 [0.975362,0.982051,0.946328,0.96181,0.945402,0.938967,0.973054,0.958735,0.944928,0.945324]
precision
0.953483390526873 [0.978038,0.982234,0.933616,0.948936,0.948127,0.942584,0.965066,0.942282,0.943536,0.946377]
precision
0.9546823345584973 [0.970674,0.983461,0.946099,0.954286,0.938953,0.931677,0.962264,0.963989,0.948454,0.940426]
precision
0.952074014999072 [0.969784,0.982028,0.95702,0.940111,0.960294,0.924409,0.955651,0.967922,0.926579,0.929799]
precision
0.9550687353282415 [0.968162,0.987277,0.938659,0.943423,0.959064,0.925581,0.946454,0.96845,0.948905,0.957416]
precision
0.956490627854296 [0.9683,0.966418,0.968889,0.955307,0.948201,0.942006,0.967647,0.96547,0.932945,0.946221]
predictive_accuracy
0.9572857142857143
predictive_accuracy
0.9558571428571428
predictive_accuracy
0.9544285714285714
predictive_accuracy
0.9547142857142857
predictive_accuracy
0.9575714285714285
predictive_accuracy
0.9534285714285714
predictive_accuracy
0.9545714285714285
predictive_accuracy
0.9520000000000001
predictive_accuracy
0.955
predictive_accuracy
0.9564285714285714
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
0.9572857142857143 [0.975398,0.982211,0.941345,0.945378,0.963343,0.933439,0.970888,0.956164,0.941435,0.958333]
recall
0.9558571428571428 [0.969609,0.988564,0.939914,0.934174,0.954545,0.942948,0.957849,0.962963,0.942899,0.95977]
recall
0.9544285714285714 [0.966667,0.98731,0.95422,0.953782,0.954545,0.965135,0.956395,0.957476,0.919473,0.925287]
recall
0.9547142857142857 [0.973913,0.978426,0.945637,0.942577,0.970674,0.942948,0.956395,0.946502,0.934114,0.952586]
recall
0.9575714285714285 [0.975362,0.972081,0.958512,0.952381,0.964809,0.950872,0.944767,0.956104,0.954612,0.943966]
recall
0.9534285714285714 [0.968116,0.982234,0.945637,0.936975,0.963397,0.936609,0.963663,0.962963,0.931085,0.938218]
recall
0.9545714285714286 [0.95942,0.980964,0.95422,0.935574,0.945827,0.950872,0.963663,0.954733,0.944282,0.952586]
recall
0.952 [0.976812,0.970812,0.955651,0.944056,0.956076,0.928797,0.972344,0.951989,0.92522,0.933813]
recall
0.955 [0.969565,0.984772,0.941345,0.934174,0.960469,0.94462,0.951965,0.967123,0.953079,0.938129]
recall
0.9564285714285714 [0.972504,0.987294,0.935622,0.957983,0.966276,0.950949,0.957787,0.957534,0.938416,0.935345]
relative_absolute_error
0.0493073838482507
relative_absolute_error
0.05027677950787228
relative_absolute_error
0.052171687695239034
relative_absolute_error
0.05218828750692081
relative_absolute_error
0.0494189904776872
relative_absolute_error
0.05383016069869645
relative_absolute_error
0.051615487577842976
relative_absolute_error
0.05512781704404239
relative_absolute_error
0.051313806236667855
relative_absolute_error
0.049663211758714416
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
0.08621619983615264
root_mean_squared_error
0.08803382346859039
root_mean_squared_error
0.08991043956610693
root_mean_squared_error
0.08865172191236986
root_mean_squared_error
0.08652572825636261
root_mean_squared_error
0.0913390057228236
root_mean_squared_error
0.08842544548586335
root_mean_squared_error
0.09244142781431869
root_mean_squared_error
0.0886587111211837
root_mean_squared_error
0.0863397050138337
root_relative_squared_error
0.28743395048881026
root_relative_squared_error
0.29349340116083833
root_relative_squared_error
0.29975045908858927
root_relative_squared_error
0.29555404767750737
root_relative_squared_error
0.28846624366405854
root_relative_squared_error
0.30451312403924014
root_relative_squared_error
0.29479966895165566
root_relative_squared_error
0.30818819945839376
root_relative_squared_error
0.2955771953348901
root_relative_squared_error
0.2878453669462244
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_testing
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usercpu_time_millis_testing
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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
730.1394939422607
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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