10324968
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)
8154377
l2_regularization
10.0
12677
learning_rate
1.0
12677
loss
"auto"
12677
max_bins
64
12677
max_depth
20
12677
max_iter
100
12677
max_leaf_nodes
8
12677
min_samples_leaf
3
12677
n_iter_no_change
null
12677
random_state
31334
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
21571622
description
https://api.openml.org/data/download/21571622/description.xml
-1
21571623
predictions
https://api.openml.org/data/download/21571623/predictions.arff
area_under_roc_curve
0.9986304150069315 [0.999537,0.999624,0.998669,0.998152,0.998611,0.998608,0.999346,0.998102,0.998312,0.997255]
average_cost
0
f_measure
0.9609234250392659 [0.977337,0.981371,0.956341,0.952823,0.960527,0.953871,0.972026,0.961051,0.950428,0.940384]
kappa
0.95657278966118
kb_relative_information_score
0.9616133889669989
mean_absolute_error
0.008472245099466476
mean_prior_absolute_error
0.1799414337543242
number_of_instances
70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958]
precision
0.9609265820318544 [0.976983,0.979633,0.958471,0.956792,0.960035,0.956224,0.97125,0.959541,0.949941,0.937696]
predictive_accuracy
0.9609285714285715
prior_entropy
3.319837025446073
recall
0.9609285714285715 [0.977691,0.983115,0.95422,0.948887,0.96102,0.951529,0.972804,0.962567,0.950916,0.943087]
relative_absolute_error
0.047083347746543554
root_mean_prior_squared_error
0.2999511838524139
root_mean_squared_error
0.07986313688228594
root_relative_squared_error
0.26625378122055116
total_cost
0
area_under_roc_curve
0.9987137259395449 [0.999708,0.999316,0.998258,0.998144,0.999041,0.998867,0.99935,0.99909,0.997781,0.997522]
area_under_roc_curve
0.9985356791934528 [0.999184,0.999515,0.998857,0.998229,0.998219,0.998005,0.999445,0.997392,0.998381,0.998019]
area_under_roc_curve
0.9987056335788554 [0.999548,0.999815,0.998796,0.998636,0.999265,0.998705,0.99919,0.998214,0.998068,0.996711]
area_under_roc_curve
0.9983630898769142 [0.999524,0.999174,0.997931,0.998259,0.998428,0.998192,0.998621,0.997759,0.998733,0.996943]
area_under_roc_curve
0.9988427201466951 [0.999765,0.999576,0.998986,0.998046,0.99904,0.998672,0.999477,0.998781,0.998154,0.997845]
area_under_roc_curve
0.9979747165836401 [0.99942,0.999591,0.998176,0.996743,0.997489,0.99808,0.999653,0.996131,0.998394,0.996016]
area_under_roc_curve
0.9987624781893893 [0.999441,0.999811,0.998835,0.997891,0.998155,0.99901,0.999525,0.998736,0.998072,0.998046]
area_under_roc_curve
0.998420929592432 [0.999617,0.999853,0.999153,0.997771,0.998647,0.998575,0.999585,0.997076,0.997882,0.99597]
area_under_roc_curve
0.999009885150341 [0.999777,0.999826,0.999077,0.99868,0.998555,0.999102,0.999431,0.998979,0.99908,0.997506]
area_under_roc_curve
0.9990207443597163 [0.999422,0.999805,0.998587,0.99931,0.999231,0.998887,0.999203,0.999088,0.998579,0.997974]
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
0.9606924507061921 [0.979827,0.981587,0.953001,0.957924,0.956713,0.96038,0.967462,0.959128,0.950554,0.937724]
f_measure
0.9611361020945034 [0.972543,0.980964,0.954155,0.949965,0.964103,0.951394,0.976676,0.966644,0.950073,0.941512]
f_measure
0.9581302648585536 [0.972424,0.979849,0.963336,0.954103,0.963018,0.945107,0.970845,0.955041,0.945906,0.927954]
f_measure
0.9614566891939291 [0.981923,0.979566,0.951289,0.952247,0.964207,0.954654,0.971636,0.959889,0.954182,0.942512]
f_measure
0.9598622372510409 [0.986202,0.981013,0.957143,0.946704,0.950365,0.952153,0.976574,0.958362,0.951344,0.93574]
f_measure
0.9588489516541091 [0.975327,0.979021,0.948645,0.949466,0.961988,0.960568,0.970397,0.959016,0.944649,0.937233]
f_measure
0.9589981703231719 [0.972222,0.980417,0.958067,0.94507,0.958884,0.956869,0.968162,0.958133,0.943257,0.946176]
f_measure
0.9635844876324354 [0.97974,0.98665,0.963493,0.955603,0.966325,0.951181,0.978198,0.964187,0.946221,0.940245]
f_measure
0.9638191463920752 [0.97554,0.985434,0.963016,0.952516,0.962637,0.950119,0.970225,0.96514,0.96405,0.94577]
f_measure
0.962673607691292 [0.977585,0.979232,0.951131,0.96446,0.957091,0.956245,0.970182,0.964997,0.953981,0.948884]
kappa
0.9563347166041447
kappa
0.956810594905474
kappa
0.9534746349426134
kappa
0.9571300739336106
kappa
0.9553812685348071
kappa
0.9542716266285572
kappa
0.9544281853303398
kappa
0.9595118053708667
kappa
0.9598280805165034
kappa
0.9585566536895535
kb_relative_information_score
0.9618430202967204
kb_relative_information_score
0.9619610900716111
kb_relative_information_score
0.9594106494447923
kb_relative_information_score
0.9618635147268008
kb_relative_information_score
0.9615616354516097
kb_relative_information_score
0.9588254462861581
kb_relative_information_score
0.9596045182759774
kb_relative_information_score
0.9626502037527753
kb_relative_information_score
0.9649754885476146
kb_relative_information_score
0.9634382899734882
mean_absolute_error
0.008412961203215245
mean_absolute_error
0.008410361189190665
mean_absolute_error
0.008979357228423673
mean_absolute_error
0.008486270010536524
mean_absolute_error
0.008465006294734331
mean_absolute_error
0.00896027619142194
mean_absolute_error
0.008903583929821773
mean_absolute_error
0.008194347934294957
mean_absolute_error
0.007849976631807795
mean_absolute_error
0.008060310381219116
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
0.9607257938953306 [0.97561,0.980964,0.96345,0.95927,0.957416,0.96038,0.961207,0.95393,0.958333,0.934379]
precision
0.961167774164633 [0.97114,0.979721,0.955524,0.956028,0.963397,0.956731,0.979532,0.959459,0.952872,0.934844]
precision
0.9581752201246018 [0.973837,0.9725,0.968208,0.947514,0.971642,0.948882,0.973684,0.948579,0.944526,0.930636]
precision
0.9615510001144217 [0.979798,0.985861,0.952654,0.95493,0.960699,0.958466,0.972344,0.967922,0.947977,0.931276]
precision
0.9599124257429283 [0.988355,0.978535,0.955777,0.948034,0.946221,0.958266,0.983776,0.953804,0.943804,0.940493]
precision
0.9589287212986737 [0.976744,0.980892,0.945946,0.965268,0.960584,0.956044,0.964132,0.955102,0.950966,0.930595]
precision
0.9590883035557763 [0.980826,0.976101,0.951977,0.950425,0.961708,0.964573,0.963977,0.958791,0.948148,0.932961]
precision
0.963632378726722 [0.978324,0.988535,0.964183,0.963068,0.966325,0.946708,0.976778,0.968188,0.93804,0.940922]
precision
0.9638332137111951 [0.968571,0.983565,0.957567,0.964132,0.963343,0.950872,0.968116,0.963165,0.964758,0.950581]
precision
0.9627526413400542 [0.976879,0.970075,0.970238,0.959778,0.949495,0.9616,0.969477,0.966988,0.950509,0.950938]
predictive_accuracy
0.9607142857142857
predictive_accuracy
0.9611428571428572
predictive_accuracy
0.9581428571428572
predictive_accuracy
0.9614285714285714
predictive_accuracy
0.9598571428571429
predictive_accuracy
0.9588571428571429
predictive_accuracy
0.9590000000000001
predictive_accuracy
0.9635714285714286
predictive_accuracy
0.9638571428571429
predictive_accuracy
0.9627142857142857
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
0.9607142857142857 [0.984081,0.982211,0.942775,0.956583,0.956012,0.96038,0.973799,0.964384,0.942899,0.941092]
recall
0.9611428571428572 [0.973951,0.982211,0.95279,0.943978,0.964809,0.946117,0.973837,0.973937,0.947291,0.948276]
recall
0.9581428571428572 [0.971014,0.98731,0.958512,0.960784,0.954545,0.941363,0.968023,0.961591,0.947291,0.925287]
recall
0.9614285714285714 [0.984058,0.97335,0.949928,0.94958,0.967742,0.950872,0.97093,0.951989,0.960469,0.954023]
recall
0.9598571428571429 [0.984058,0.983503,0.958512,0.945378,0.954545,0.946117,0.969477,0.962963,0.959004,0.931034]
recall
0.9588571428571429 [0.973913,0.977157,0.951359,0.934174,0.963397,0.965135,0.976744,0.962963,0.938416,0.943966]
recall
0.959 [0.963768,0.984772,0.964235,0.939776,0.956076,0.949287,0.972384,0.957476,0.938416,0.95977]
recall
0.9635714285714285 [0.981159,0.984772,0.962804,0.948252,0.966325,0.955696,0.979622,0.960219,0.954545,0.939568]
recall
0.9638571428571429 [0.982609,0.98731,0.968526,0.941176,0.961933,0.949367,0.972344,0.967123,0.963343,0.941007]
recall
0.9627142857142857 [0.978292,0.988564,0.932761,0.969188,0.964809,0.950949,0.970888,0.963014,0.957478,0.946839]
relative_absolute_error
0.04675386056733258
relative_absolute_error
0.04673936714761145
relative_absolute_error
0.04990159065836504
relative_absolute_error
0.047161323634798136
relative_absolute_error
0.0470431533454507
relative_absolute_error
0.04979555020494883
relative_absolute_error
0.049480490456964066
relative_absolute_error
0.04553896593998032
relative_absolute_error
0.04362518464769293
relative_absolute_error
0.044794000707747056
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
0.07970809359391481
root_mean_squared_error
0.07950940252631926
root_mean_squared_error
0.08154100661505877
root_mean_squared_error
0.07994120935911
root_mean_squared_error
0.08036538251785327
root_mean_squared_error
0.08319364864987265
root_mean_squared_error
0.08189102509403291
root_mean_squared_error
0.07909855220886647
root_mean_squared_error
0.07554510900741865
root_mean_squared_error
0.07756923364566035
root_relative_squared_error
0.26573674403616754
root_relative_squared_error
0.26507408235019425
root_relative_squared_error
0.27184778859231956
root_relative_squared_error
0.26651425931325595
root_relative_squared_error
0.26792840098223164
root_relative_squared_error
0.2773574953013238
root_relative_squared_error
0.273014706967941
root_relative_squared_error
0.2637047150978818
root_relative_squared_error
0.2518580651500816
root_relative_squared_error
0.2586057540837677
total_cost
0
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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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_testing
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wall_clock_time_millis_testing
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