10315649
8323
Heinrich Peters
3481
Supervised Classification
12736
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8167722
l2_regularization
1e-07
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
32
12677
max_depth
19
12677
max_iter
250
12677
max_leaf_nodes
64
12677
min_samples_leaf
31
12677
n_iter_no_change
null
12677
random_state
64069
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.
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
21552957
description
https://api.openml.org/data/download/21552957/description.xml
-1
21552958
predictions
https://api.openml.org/data/download/21552958/predictions.arff
area_under_roc_curve
0.9993247977005372 [0.999846,0.998618,0.999735,0.998438,0.999291,0.999369,0.998813,0.99949,0.999437,0.999863,0.999891,0.999976,0.999081,0.999113,0.99981,0.997729,0.999968,0.999919,0.999093,0.997545,0.999876,0.998575,0.999944,0.999836,0.999997,0.999193]
average_cost
0
f_measure
0.961765876130073 [0.970395,0.911433,0.985124,0.93864,0.930626,0.961474,0.952862,0.989899,0.983333,0.979933,0.97351,0.986755,0.931092,0.936455,0.988314,0.922559,0.975288,0.986755,0.968174,0.940577,0.963455,0.919732,0.978224,0.988391,0.993311,0.949495]
kappa
0.9602513748908712
kb_relative_information_score
0.9685348594787679
mean_absolute_error
0.003261043386969377
mean_prior_absolute_error
0.07396449117237175
number_of_instances
7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300]
precision
0.9619555367859333 [0.957792,0.88162,0.977049,0.933993,0.945017,0.959866,0.962585,1,0.983333,0.983221,0.967105,0.980263,0.935811,0.939597,0.989967,0.931973,0.964169,0.980263,0.973064,0.958478,0.960265,0.922819,0.983165,0.983498,0.996644,0.959184]
predictive_accuracy
0.9617801718609722
prior_entropy
4.700438279892712
recall
0.9617801718609722 [0.983333,0.943333,0.993333,0.943333,0.916667,0.963087,0.943333,0.98,0.983333,0.976667,0.98,0.993333,0.926421,0.933333,0.986667,0.913333,0.986667,0.993333,0.963333,0.923333,0.966667,0.916667,0.973333,0.993333,0.99,0.94]
relative_absolute_error
0.04408931009029219
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.04791016718370957
root_relative_squared_error
0.24913287927244046
total_cost
0
area_under_roc_curve
0.9995965811965812 [0.999778,0.999867,0.999911,0.9984,1,0.999911,0.999956,1,1,1,0.9996,1,0.9992,0.999378,0.998044,0.9992,0.999956,0.999822,1,0.999244,0.999956,0.999111,1,0.998711,1,0.999467]
area_under_roc_curve
0.9990649572649573 [0.9992,0.998978,1,0.999422,0.999378,1,0.998133,0.999822,0.994622,0.999689,0.999689,1,0.998444,0.9988,1,0.994222,1,0.999422,1,0.999422,0.999822,0.9968,1,1,1,0.999822]
area_under_roc_curve
0.9995350427350428 [0.999733,0.9996,0.999867,0.999156,0.999467,0.999956,0.999778,0.994889,0.999867,0.999867,0.999778,1,1,0.999911,1,1,1,0.999778,0.999822,0.999689,1,0.999511,0.999956,0.999422,1,0.997867]
area_under_roc_curve
0.999382905982906 [0.999911,0.998222,0.999956,0.999733,0.999644,0.999956,0.999867,1,1,1,1,0.999911,0.9988,0.999156,1,0.991822,1,1,0.999956,0.999822,1,0.997378,1,1,1,0.999822]
area_under_roc_curve
0.9985111111111109 [1,0.999156,1,0.998756,0.9992,0.998578,0.998089,0.999956,1,0.999733,0.999867,0.999867,0.9984,0.999156,1,0.999867,1,1,0.991511,0.985511,0.999733,0.996578,0.999778,1,1,0.997556]
area_under_roc_curve
0.9994837606837604 [1,0.998844,0.997911,0.9972,0.999422,0.999911,0.998667,1,1,0.999867,0.999689,1,0.998756,0.999467,1,0.9988,0.999956,1,0.999956,0.999733,1,0.998978,1,1,1,0.999422]
area_under_roc_curve
0.9994358974358973 [0.999822,0.9996,1,0.9996,0.997422,0.999111,1,0.999733,1,1,1,1,0.9988,0.9964,1,0.995689,1,1,1,1,0.999644,0.999733,1,1,1,0.999778]
area_under_roc_curve
0.9993144497898495 [0.999866,0.996306,1,0.995372,0.998487,1,0.997819,1,1,1,1,1,0.999954,0.999688,0.999911,0.999955,1,1,1,0.99555,0.999955,0.99951,1,1,1,0.999822]
area_under_roc_curve
0.9992202000327922 [1,0.997018,0.999955,0.996395,0.999866,0.999678,0.99684,1,0.999955,0.999822,1,1,0.999332,0.999733,1,0.998709,0.999644,1,1,0.995238,0.999733,0.999199,0.999377,1,1,0.999243]
area_under_roc_curve
0.9996693831684293 [1,0.999555,1,1,0.999955,0.996736,0.999733,1,0.999955,1,1,1,0.998487,0.999288,0.999911,1,1,1,0.999777,1,0.999822,0.998976,0.999822,1,1,0.999288]
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
0.9626939640336685 [0.965517,0.967742,0.967742,0.95082,1,0.965517,0.947368,1,1,1,0.9375,1,0.885246,0.915254,0.983051,0.877193,0.966667,0.983607,0.967742,0.915254,0.983607,0.918033,1,0.966667,1,0.965517]
f_measure
0.9575928445851173 [0.920635,0.920635,1,0.95082,0.933333,0.952381,0.95082,0.983051,0.966667,0.967742,0.966667,1,0.933333,0.918033,1,0.892857,1,0.966667,0.947368,0.949153,0.947368,0.896552,1,1,1,0.933333]
f_measure
0.9666831694156789 [0.967742,0.933333,0.983607,0.9,0.935484,0.983607,0.949153,0.983051,0.966667,0.983051,0.983051,0.983051,0.983607,0.949153,1,0.983051,0.983607,0.966667,0.966667,0.931034,0.983607,0.9375,0.983051,0.983051,0.983607,0.947368]
f_measure
0.9652765825433477 [0.983051,0.892308,0.983607,0.95082,0.965517,0.966667,0.967742,0.983051,1,0.983051,0.952381,0.983607,0.9,0.915254,1,0.933333,1,1,0.966667,0.947368,0.983607,0.888889,1,0.983607,1,0.966667]
f_measure
0.9459555538415593 [0.967742,0.918033,1,0.9375,0.896552,0.918033,0.966667,0.983051,0.983607,0.95082,0.965517,0.983607,0.862069,0.885246,1,0.947368,0.967742,1,0.912281,0.915254,0.95082,0.885246,0.931034,0.983607,0.983051,0.9]
f_measure
0.9667021043985403 [1,0.888889,0.983051,0.885246,0.915254,0.947368,0.966667,1,1,0.983051,0.966667,0.983607,0.965517,0.967742,1,0.896552,0.983051,1,0.967742,0.966667,1,0.949153,0.983607,0.983607,1,0.95082]
f_measure
0.9600752998752894 [0.967742,0.920635,0.983607,0.947368,0.827586,0.966667,0.983607,0.965517,0.983607,0.983051,0.983607,0.983607,0.918033,0.931034,0.983051,0.866667,0.983607,1,0.983051,0.967742,0.933333,0.966667,1,0.983607,0.983051,0.965517]
f_measure
0.9665528149837668 [0.983607,0.870968,1,0.965517,0.896552,0.983607,0.931034,1,0.983051,1,1,0.967742,0.966667,0.947368,0.949153,0.952381,0.983607,1,0.983051,0.933333,0.966667,0.915254,1,1,1,0.95082]
f_measure
0.9513262750999969 [0.967742,0.870968,0.983051,0.9,0.949153,0.965517,0.915254,1,0.966667,0.949153,0.983051,1,0.947368,0.967742,1,0.875,0.903226,0.983607,1,0.888889,0.933333,0.918033,0.933333,1,0.983051,0.95082]
f_measure
0.9743116331684483 [0.983051,0.933333,0.967742,1,0.983051,0.965517,0.947368,1,0.983051,1,1,0.983051,0.949153,0.966667,0.967742,1,0.983607,0.967742,0.983607,0.983607,0.95082,0.918033,0.949153,1,1,0.965517]
kappa
0.9613333333333334
kappa
0.9560000000000001
kappa
0.9653333333333334
kappa
0.964
kappa
0.944
kappa
0.9653333333333334
kappa
0.9586666666666667
kappa
0.965288893611333
kappa
0.949268209083119
kappa
0.9732990574121679
kb_relative_information_score
0.9680815798505219
kb_relative_information_score
0.9636756905060844
kb_relative_information_score
0.9717597586374659
kb_relative_information_score
0.9725127371651513
kb_relative_information_score
0.960657637229351
kb_relative_information_score
0.9691380451223303
kb_relative_information_score
0.9691923735987639
kb_relative_information_score
0.9722545039386677
kb_relative_information_score
0.960677967651258
kb_relative_information_score
0.977404374910423
mean_absolute_error
0.003528818171870133
mean_absolute_error
0.003800348206966103
mean_absolute_error
0.0029235466941523684
mean_absolute_error
0.0029237701084748368
mean_absolute_error
0.003945531173203531
mean_absolute_error
0.0029205888077936375
mean_absolute_error
0.0032240755356197767
mean_absolute_error
0.002857461958246486
mean_absolute_error
0.0038859187737835996
mean_absolute_error
0.0025998104152068235
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396448587535052
mean_prior_absolute_error
0.07396447325283656
mean_prior_absolute_error
0.07396447325283656
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
precision
0.9638977867798288 [1,0.9375,0.9375,0.935484,1,1,1,1,1,1,0.882353,1,0.870968,0.931034,1,0.925926,0.966667,0.967742,0.9375,0.931034,0.967742,0.903226,1,0.966667,1,1]
precision
0.9589995133285756 [0.878788,0.878788,1,0.935484,0.933333,0.909091,0.935484,1,0.966667,0.9375,0.966667,1,0.933333,0.903226,1,0.961538,1,0.966667,1,0.965517,1,0.928571,1,1,1,0.933333]
precision
0.9677387724791293 [0.9375,0.933333,0.967742,0.9,0.90625,0.967742,0.965517,1,0.966667,1,1,1,0.967742,0.965517,1,1,0.967742,0.966667,0.966667,0.964286,0.967742,0.882353,1,1,0.967742,1]
precision
0.9671531448714429 [1,0.828571,0.967742,0.935484,1,0.966667,0.9375,1,1,1,0.909091,0.967742,0.9,0.931034,1,0.933333,1,1,0.966667,1,0.967742,1,1,0.967742,1,0.966667]
precision
0.947165845555396 [0.9375,0.903226,1,0.882353,0.928571,0.903226,0.966667,1,0.967742,0.935484,1,0.967742,0.892857,0.870968,1,1,0.9375,1,0.962963,0.931034,0.935484,0.870968,0.964286,0.967742,1,0.9]
precision
0.9676263623288092 [1,0.848485,1,0.870968,0.931034,1,0.966667,1,1,1,0.966667,0.967742,1,0.9375,1,0.928571,1,1,0.9375,0.966667,1,0.965517,0.967742,0.967742,1,0.935484]
precision
0.9609988130149419 [0.9375,0.878788,0.967742,1,0.857143,0.966667,0.967742,1,0.967742,1,0.967742,0.967742,0.903226,0.964286,1,0.866667,0.967742,1,1,0.9375,0.933333,0.966667,1,0.967742,1,1]
precision
0.9675004054726887 [0.967742,0.84375,1,1,0.928571,0.967742,0.964286,1,1,1,1,0.9375,0.935484,1,0.965517,0.909091,0.967742,1,1,0.933333,0.966667,0.931034,1,1,1,0.935484]
precision
0.953240050969904 [0.9375,0.84375,1,0.9,0.965517,0.965517,0.931034,1,0.966667,0.965517,1,1,1,0.9375,1,0.823529,0.875,0.967742,1,1,0.933333,0.903226,0.933333,1,1,0.935484]
precision
0.9750501912694319 [1,0.933333,0.9375,1,1,0.965517,1,1,1,1,1,1,0.965517,0.966667,0.9375,1,0.967742,0.9375,0.967742,0.967742,0.935484,0.903226,0.965517,1,1,1]
predictive_accuracy
0.9628205128205128
predictive_accuracy
0.9576923076923077
predictive_accuracy
0.9666666666666667
predictive_accuracy
0.9653846153846153
predictive_accuracy
0.9461538461538461
predictive_accuracy
0.9666666666666667
predictive_accuracy
0.9602564102564102
predictive_accuracy
0.9666238767650834
predictive_accuracy
0.951219512195122
predictive_accuracy
0.9743260590500641
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700435698259304
prior_entropy
4.700429514669705
prior_entropy
4.700429514669705
recall
0.9628205128205128 [0.933333,1,1,0.966667,1,0.933333,0.9,1,1,1,1,1,0.9,0.9,0.966667,0.833333,0.966667,1,1,0.9,1,0.933333,1,0.966667,1,0.933333]
recall
0.9576923076923077 [0.966667,0.966667,1,0.966667,0.933333,1,0.966667,0.966667,0.966667,1,0.966667,1,0.933333,0.933333,1,0.833333,1,0.966667,0.9,0.933333,0.9,0.866667,1,1,1,0.933333]
recall
0.9666666666666667 [1,0.933333,1,0.9,0.966667,1,0.933333,0.966667,0.966667,0.966667,0.966667,0.966667,1,0.933333,1,0.966667,1,0.966667,0.966667,0.9,1,1,0.966667,0.966667,1,0.9]
recall
0.9653846153846154 [0.966667,0.966667,1,0.966667,0.933333,0.966667,1,0.966667,1,0.966667,1,1,0.9,0.9,1,0.933333,1,1,0.966667,0.9,1,0.8,1,1,1,0.966667]
recall
0.9461538461538461 [1,0.933333,1,1,0.866667,0.933333,0.966667,0.966667,1,0.966667,0.933333,1,0.833333,0.9,1,0.9,1,1,0.866667,0.9,0.966667,0.9,0.9,1,0.966667,0.9]
recall
0.9666666666666667 [1,0.933333,0.966667,0.9,0.9,0.9,0.966667,1,1,0.966667,0.966667,1,0.933333,1,1,0.866667,0.966667,1,1,0.966667,1,0.933333,1,1,1,0.966667]
recall
0.9602564102564103 [1,0.966667,1,0.9,0.8,0.966667,1,0.933333,1,0.966667,1,1,0.933333,0.9,0.966667,0.866667,1,1,0.966667,1,0.933333,0.966667,1,1,0.966667,0.933333]
recall
0.9666238767650834 [1,0.9,1,0.933333,0.866667,1,0.9,1,0.966667,1,1,1,1,0.9,0.933333,1,1,1,0.966667,0.933333,0.966667,0.9,1,1,1,0.966667]
recall
0.9512195121951219 [1,0.9,0.966667,0.9,0.933333,0.965517,0.9,1,0.966667,0.933333,0.966667,1,0.9,1,1,0.933333,0.933333,1,1,0.8,0.933333,0.933333,0.933333,1,0.966667,0.966667]
recall
0.9743260590500642 [0.966667,0.933333,1,1,0.966667,0.965517,0.9,1,0.966667,1,1,0.966667,0.933333,0.966667,1,1,1,1,1,1,0.966667,0.933333,0.933333,1,1,0.933333]
relative_absolute_error
0.04770962168368391
relative_absolute_error
0.051380707758181404
relative_absolute_error
0.03952635130493978
relative_absolute_error
0.03952937186657956
relative_absolute_error
0.05334358146171142
relative_absolute_error
0.039486360681369743
relative_absolute_error
0.043589501241579114
relative_absolute_error
0.03863289150771704
relative_absolute_error
0.05253763871879631
relative_absolute_error
0.035149448118419746
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230767088031558
root_mean_prior_squared_error
0.19230763806177284
root_mean_prior_squared_error
0.19230763806177284
root_mean_squared_error
0.04830529700714982
root_mean_squared_error
0.05227908640497464
root_mean_squared_error
0.04517978723490744
root_mean_squared_error
0.04530501246594929
root_mean_squared_error
0.05413523737476203
root_mean_squared_error
0.046624027430302264
root_mean_squared_error
0.046509130450677644
root_mean_squared_error
0.045121980376696215
root_mean_squared_error
0.05370603403788936
root_mean_squared_error
0.040065730219187266
root_relative_squared_error
0.2511875345044921
root_relative_squared_error
0.2718512385560781
root_relative_squared_error
0.23493488433150886
root_relative_squared_error
0.23558605550717732
root_relative_squared_error
0.281503223217305
root_relative_squared_error
0.24244493305059275
root_relative_squared_error
0.24184746878017024
root_relative_squared_error
0.2346343241023302
root_relative_squared_error
0.27927145577357654
root_relative_squared_error
0.20834185590859058
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
180694.47146297898
usercpu_time_millis
173311.39270798303
usercpu_time_millis
173550.45623303158
usercpu_time_millis
174769.57141497405
usercpu_time_millis
172597.84087503795
usercpu_time_millis
172710.57071496034
usercpu_time_millis
173480.5158849922
usercpu_time_millis
174608.8912759442
usercpu_time_millis
171631.52270199498
usercpu_time_millis
172338.79242796684
usercpu_time_millis_testing
237.71707800915465
usercpu_time_millis_testing
239.3089469987899
usercpu_time_millis_testing
254.18493303004652
usercpu_time_millis_testing
224.00604898575693
usercpu_time_millis_testing
256.68008002685383
usercpu_time_millis_testing
242.42436297936365
usercpu_time_millis_testing
232.46725997887552
usercpu_time_millis_testing
232.58330998942256
usercpu_time_millis_testing
227.78063802979887
usercpu_time_millis_testing
232.10746399126947
usercpu_time_millis_training
180456.75438496983
usercpu_time_millis_training
173072.08376098424
usercpu_time_millis_training
173296.27130000154
usercpu_time_millis_training
174545.5653659883
usercpu_time_millis_training
172341.1607950111
usercpu_time_millis_training
172468.14635198098
usercpu_time_millis_training
173248.04862501333
usercpu_time_millis_training
174376.30796595477
usercpu_time_millis_training
171403.74206396518
usercpu_time_millis_training
172106.68496397557
wall_clock_time_millis
180706.4709663391
wall_clock_time_millis
173332.0620059967
wall_clock_time_millis
173557.90066719055
wall_clock_time_millis
174773.08225631714
wall_clock_time_millis
172603.98983955383
wall_clock_time_millis
172719.2621231079
wall_clock_time_millis
173486.3567352295
wall_clock_time_millis
174627.34723091125
wall_clock_time_millis
171649.43051338196
wall_clock_time_millis
172345.19696235657
wall_clock_time_millis_testing
237.72644996643066
wall_clock_time_millis_testing
239.3171787261963
wall_clock_time_millis_testing
254.1952133178711
wall_clock_time_millis_testing
224.0140438079834
wall_clock_time_millis_testing
256.69002532958984
wall_clock_time_millis_testing
242.43497848510742
wall_clock_time_millis_testing
232.47504234313965
wall_clock_time_millis_testing
232.5911521911621
wall_clock_time_millis_testing
227.78940200805664
wall_clock_time_millis_testing
232.1159839630127
wall_clock_time_millis_training
180468.74451637268
wall_clock_time_millis_training
173092.7448272705
wall_clock_time_millis_training
173303.70545387268
wall_clock_time_millis_training
174549.06821250916
wall_clock_time_millis_training
172347.29981422424
wall_clock_time_millis_training
172476.8271446228
wall_clock_time_millis_training
173253.88169288635
wall_clock_time_millis_training
174394.7560787201
wall_clock_time_millis_training
171421.6411113739
wall_clock_time_millis_training
172113.08097839355