10317678
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)
8155117
l2_regularization
1e-07
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
8
12677
max_depth
12
12677
max_iter
500
12677
max_leaf_nodes
8
12677
min_samples_leaf
18
12677
n_iter_no_change
null
12677
random_state
3934
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
21557039
description
https://api.openml.org/data/download/21557039/description.xml
-1
21557040
predictions
https://api.openml.org/data/download/21557040/predictions.arff
area_under_roc_curve
0.9994429086400278 [0.99989,0.99839,0.999763,0.99892,0.999398,0.999106,0.999079,0.999515,0.999848,0.999849,0.99991,0.999963,0.99937,0.999304,0.999812,0.998443,0.999996,0.999967,0.999164,0.998233,0.999943,0.998856,0.99996,0.999746,0.999994,0.999096]
average_cost
0
f_measure
0.9606383660792716 [0.973597,0.896104,0.966997,0.930233,0.931553,0.926174,0.964706,0.989899,0.981758,0.978369,0.980066,0.983498,0.942177,0.945274,0.988275,0.938023,0.990066,0.99,0.940199,0.940375,0.978369,0.909091,0.986622,0.99,0.993311,0.941569]
kappa
0.9590509067540063
kb_relative_information_score
0.9676326483871749
mean_absolute_error
0.0032448982425639953
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
0.9608117341982856 [0.964052,0.873418,0.957516,0.927152,0.93311,0.926174,0.972881,1,0.976898,0.976744,0.976821,0.973856,0.958478,0.940594,0.993266,0.942761,0.983553,0.99,0.937086,0.961672,0.976744,0.918367,0.989933,0.99,0.996644,0.943144]
predictive_accuracy
0.9606258817493908
prior_entropy
4.700438279892712
recall
0.9606258817493908 [0.983333,0.92,0.976667,0.933333,0.93,0.926174,0.956667,0.98,0.986667,0.98,0.983333,0.993333,0.926421,0.95,0.983333,0.933333,0.996667,0.99,0.943333,0.92,0.98,0.9,0.983333,0.99,0.99,0.94]
relative_absolute_error
0.04387102772061082
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.04894457423995802
root_relative_squared_error
0.2545117961790492
total_cost
0
area_under_roc_curve
0.9994769230769232 [0.999822,0.999333,0.999778,0.996489,0.999911,0.999778,0.999911,1,1,1,0.999733,1,0.9992,0.999289,0.998133,0.999244,1,0.999822,0.999867,0.999644,1,0.9996,1,0.997822,1,0.999022]
area_under_roc_curve
0.9995470085470086 [0.999778,0.998533,1,0.999867,0.999022,0.999822,0.999422,1,0.998711,0.999778,0.999778,0.999956,0.998667,0.998978,1,0.997689,1,0.999822,0.999911,0.999644,1,0.998978,1,1,1,0.999867]
area_under_roc_curve
0.9993076923076923 [0.9996,0.998756,0.999644,0.998267,0.999067,0.999689,0.999644,0.995289,0.999911,0.999778,1,1,0.999911,0.999689,1,0.999733,1,1,0.999289,0.9992,1,0.998533,0.999733,0.999778,1,0.996489]
area_under_roc_curve
0.9993880341880342 [1,0.998,0.999956,0.999733,1,0.998978,0.999822,1,1,0.999867,1,1,0.9992,0.998444,1,0.994,1,1,0.998178,0.999911,1,0.998222,1,1,1,0.999778]
area_under_roc_curve
0.9988564102564104 [1,0.998578,1,0.9992,0.999511,0.995689,0.997378,1,1,0.999467,1,0.999956,0.9992,0.999644,1,1,1,1,0.995822,0.989867,0.999822,0.997556,1,1,1,0.998578]
area_under_roc_curve
0.9997042735042736 [1,0.998711,0.998622,0.998667,0.999244,0.999733,0.999778,1,1,0.999911,0.999822,0.999867,1,1,1,0.999244,1,1,0.999822,0.999911,0.999956,0.999467,0.999956,1,1,0.9996]
area_under_roc_curve
0.999591452991453 [0.999867,0.999289,0.999867,0.999822,0.997733,0.999422,1,1,1,1,1,1,0.999067,0.999244,1,0.996756,1,1,0.999911,0.999422,0.999822,0.999778,1,1,1,0.999378]
area_under_roc_curve
0.9995955377388077 [0.999955,0.996573,0.999911,0.999555,0.998932,0.999466,0.997908,1,1,1,1,1,0.999724,0.99951,1,1,1,1,0.999555,0.999199,1,0.99951,1,1,1,0.999688]
area_under_roc_curve
0.9994412998532349 [1,0.997864,0.999866,0.997908,0.999955,0.999494,0.997775,1,1,0.999955,1,1,0.999644,0.999777,1,0.999243,0.999955,1,0.999911,0.995372,0.999866,0.99951,1,1,1,0.999377]
area_under_roc_curve
0.9997532193830827 [0.999911,0.999243,0.999955,0.999777,1,0.999632,0.999866,1,0.999955,1,1,0.999911,0.999377,0.999599,0.999733,0.999555,1,1,0.999822,0.999955,0.999955,0.998487,1,1,1,0.998843]
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
0.9589564311686017 [0.935484,0.935484,0.920635,0.918033,0.983051,0.966667,0.95082,0.983051,0.967742,0.983607,0.95082,1,0.931034,0.933333,0.983051,0.928571,0.983607,0.966667,0.983607,0.931034,0.983051,0.933333,1,0.949153,1,0.931034]
f_measure
0.9541486498480322 [0.95082,0.825397,0.983607,0.966667,0.857143,0.952381,0.95082,1,0.966667,0.95082,0.966667,0.967742,0.933333,0.933333,0.965517,0.896552,1,0.966667,0.965517,0.947368,0.983051,0.912281,1,1,1,0.965517]
f_measure
0.955255056768673 [0.967742,0.915254,0.95082,0.888889,0.935484,0.9375,0.965517,0.983051,0.949153,0.983051,0.983051,0.983051,0.966667,0.933333,0.983607,0.966667,1,0.983051,0.931034,0.892857,0.983607,0.888889,0.966667,0.983051,0.983607,0.931034]
f_measure
0.9679349365550283 [1,0.888889,0.983607,0.949153,0.983051,0.933333,0.935484,0.983051,1,0.95082,1,1,0.95082,0.949153,1,0.933333,1,1,0.933333,0.949153,1,0.892857,1,0.983607,1,0.966667]
f_measure
0.9576364990596822 [0.983607,0.903226,1,0.952381,0.983607,0.870968,0.983051,0.983051,0.983607,0.966667,0.983051,0.983607,0.909091,0.920635,1,0.983051,0.983607,1,0.862069,0.949153,0.966667,0.881356,0.983051,1,0.983051,0.9]
f_measure
0.9551471251591657 [1,0.830769,0.965517,0.862069,0.862069,0.915254,0.983051,1,1,0.983051,0.983607,0.95082,0.928571,0.952381,0.983607,0.915254,0.983051,1,0.933333,0.967742,0.983607,0.931034,0.983051,0.983607,1,0.952381]
f_measure
0.9627383865444795 [0.95082,0.933333,0.95082,0.965517,0.877193,0.928571,1,0.965517,0.983607,1,0.983607,0.983607,0.935484,0.965517,0.983051,0.915254,1,1,0.952381,0.95082,0.95082,0.923077,1,1,0.983051,0.949153]
f_measure
0.967794978682075 [0.966667,0.90625,0.966667,0.949153,0.896552,0.931034,0.949153,1,1,1,0.983607,1,0.983051,0.965517,1,0.967742,1,1,0.935484,0.931034,0.983607,0.928571,0.983607,1,1,0.935484]
f_measure
0.9603084141244616 [1,0.9,0.966667,0.915254,0.966667,0.912281,0.965517,1,1,0.983607,0.983051,1,0.949153,0.95082,1,0.892308,0.967742,1,0.95082,0.909091,0.966667,0.903226,0.965517,1,1,0.918033]
f_measure
0.9664709692956245 [0.983051,0.931034,0.983607,0.935484,0.967742,0.912281,0.965517,1,0.966667,0.983051,0.983607,0.967742,0.931034,0.95082,0.983051,0.983051,0.983607,0.983607,0.95082,0.967742,0.983051,0.896552,0.983607,1,0.983051,0.966667]
kappa
0.9573333333333334
kappa
0.9520000000000001
kappa
0.9533333333333334
kappa
0.9666666666666667
kappa
0.9560000000000001
kappa
0.9533333333333334
kappa
0.9613333333333334
kappa
0.9666238789650746
kappa
0.9586134680607851
kappa
0.9652887151477552
kb_relative_information_score
0.9667881512371701
kb_relative_information_score
0.9614633839156099
kb_relative_information_score
0.964112104124778
kb_relative_information_score
0.974159936696748
kb_relative_information_score
0.9626464116890829
kb_relative_information_score
0.9698636973734203
kb_relative_information_score
0.9670191162554329
kb_relative_information_score
0.9711089036020223
kb_relative_information_score
0.9680531092100381
kb_relative_information_score
0.9711211516873968
mean_absolute_error
0.003364877994906082
mean_absolute_error
0.0037764161487441198
mean_absolute_error
0.003526654163305716
mean_absolute_error
0.0026477826079055315
mean_absolute_error
0.0036491221563743695
mean_absolute_error
0.0032140077745086487
mean_absolute_error
0.003269645677867145
mean_absolute_error
0.002841918904955455
mean_absolute_error
0.0032281708055521088
mean_absolute_error
0.0029294436769820935
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
0.9601762160716554 [0.90625,0.90625,0.878788,0.903226,1,0.966667,0.935484,1,0.9375,0.967742,0.935484,1,0.964286,0.933333,1,1,0.967742,0.966667,0.967742,0.964286,1,0.933333,1,0.965517,1,0.964286]
precision
0.9558351072463975 [0.935484,0.787879,0.967742,0.966667,0.818182,0.909091,0.935484,1,0.966667,0.935484,0.966667,0.9375,0.933333,0.933333,1,0.928571,1,0.966667,1,1,1,0.962963,1,1,1,1]
precision
0.956991433197949 [0.9375,0.931034,0.935484,0.848485,0.90625,0.882353,1,1,0.965517,1,1,1,0.966667,0.933333,0.967742,0.966667,1,1,0.964286,0.961538,0.967742,0.848485,0.966667,1,0.967742,0.964286]
precision
0.9686901274511973 [1,0.848485,0.967742,0.965517,1,0.933333,0.90625,1,1,0.935484,1,1,0.935484,0.965517,1,0.933333,1,1,0.933333,0.965517,1,0.961538,1,0.967742,1,0.966667]
precision
0.9589845348848407 [0.967742,0.875,1,0.909091,0.967742,0.84375,1,1,0.967742,0.966667,1,0.967742,1,0.878788,1,1,0.967742,1,0.892857,0.965517,0.966667,0.896552,1,1,1,0.9]
precision
0.9568832423601611 [1,0.771429,1,0.892857,0.892857,0.931034,1,1,1,1,0.967742,0.935484,1,0.909091,0.967742,0.931034,1,1,0.933333,0.9375,0.967742,0.964286,1,0.967742,1,0.909091]
precision
0.9643636938443666 [0.935484,0.933333,0.935484,1,0.925926,1,1,1,0.967742,1,0.967742,0.967742,0.90625,1,1,0.931034,1,1,0.909091,0.935484,0.935484,0.857143,1,1,1,0.965517]
precision
0.969016255478875 [0.966667,0.852941,0.966667,0.965517,0.928571,0.964286,0.965517,1,1,1,0.967742,1,0.966667,1,1,0.9375,1,1,0.90625,0.964286,0.967742,1,0.967742,1,1,0.90625]
precision
0.961893877440284 [1,0.9,0.966667,0.931034,0.966667,0.928571,1,1,1,0.967742,1,1,0.965517,0.935484,1,0.828571,0.9375,1,0.935484,1,0.966667,0.875,1,1,1,0.903226]
precision
0.9672601793626473 [1,0.964286,0.967742,0.90625,0.9375,0.928571,1,1,0.966667,1,0.967742,0.9375,0.964286,0.935484,1,1,0.967742,0.967742,0.935484,0.9375,1,0.928571,0.967742,1,1,0.966667]
predictive_accuracy
0.958974358974359
predictive_accuracy
0.9538461538461539
predictive_accuracy
0.9551282051282051
predictive_accuracy
0.967948717948718
predictive_accuracy
0.9576923076923077
predictive_accuracy
0.9551282051282051
predictive_accuracy
0.9628205128205128
predictive_accuracy
0.9679075738125802
predictive_accuracy
0.9602053915275995
predictive_accuracy
0.9666238767650834
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
0.958974358974359 [0.966667,0.966667,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,1,1,0.966667,1,0.9,0.933333,0.966667,0.866667,1,0.966667,1,0.9,0.966667,0.933333,1,0.933333,1,0.9]
recall
0.9538461538461539 [0.966667,0.866667,1,0.966667,0.9,1,0.966667,1,0.966667,0.966667,0.966667,1,0.933333,0.933333,0.933333,0.866667,1,0.966667,0.933333,0.9,0.966667,0.866667,1,1,1,0.933333]
recall
0.9551282051282052 [1,0.9,0.966667,0.933333,0.966667,1,0.933333,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,0.933333,1,0.966667,1,0.966667,0.9,0.833333,1,0.933333,0.966667,0.966667,1,0.9]
recall
0.967948717948718 [1,0.933333,1,0.933333,0.966667,0.933333,0.966667,0.966667,1,0.966667,1,1,0.966667,0.933333,1,0.933333,1,1,0.933333,0.933333,1,0.833333,1,1,1,0.966667]
recall
0.9576923076923077 [1,0.933333,1,1,1,0.9,0.966667,0.966667,1,0.966667,0.966667,1,0.833333,0.966667,1,0.966667,1,1,0.833333,0.933333,0.966667,0.866667,0.966667,1,0.966667,0.9]
recall
0.9551282051282052 [1,0.9,0.933333,0.833333,0.833333,0.9,0.966667,1,1,0.966667,1,0.966667,0.866667,1,1,0.9,0.966667,1,0.933333,1,1,0.9,0.966667,1,1,1]
recall
0.9628205128205128 [0.966667,0.933333,0.966667,0.933333,0.833333,0.866667,1,0.933333,1,1,1,1,0.966667,0.933333,0.966667,0.9,1,1,1,0.966667,0.966667,1,1,1,0.966667,0.933333]
recall
0.9679075738125802 [0.966667,0.966667,0.966667,0.933333,0.866667,0.9,0.933333,1,1,1,1,1,1,0.933333,1,1,1,1,0.966667,0.9,1,0.866667,1,1,1,0.966667]
recall
0.9602053915275995 [1,0.9,0.966667,0.9,0.966667,0.896552,0.933333,1,1,1,0.966667,1,0.933333,0.966667,1,0.966667,1,1,0.966667,0.833333,0.966667,0.933333,0.933333,1,1,0.933333]
recall
0.9666238767650834 [0.966667,0.9,1,0.966667,1,0.896552,0.933333,1,0.966667,0.966667,1,1,0.9,0.966667,0.966667,0.966667,1,1,0.966667,1,0.966667,0.866667,1,1,0.966667,0.966667]
relative_absolute_error
0.04549315049112995
relative_absolute_error
0.051057146331020195
relative_absolute_error
0.04768036428789299
relative_absolute_error
0.035798020858882576
relative_absolute_error
0.04933613155418118
relative_absolute_error
0.04345338511135667
relative_absolute_error
0.044205609564763534
relative_absolute_error
0.03842274939549814
relative_absolute_error
0.04364488332820389
relative_absolute_error
0.039606091250974314
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
0.04985317693795862
root_mean_squared_error
0.054362231394839505
root_mean_squared_error
0.05081744837534436
root_mean_squared_error
0.04425356064682845
root_mean_squared_error
0.05273696971880657
root_mean_squared_error
0.04844504943752713
root_mean_squared_error
0.048607562418882484
root_mean_squared_error
0.045763851333184516
root_mean_squared_error
0.04830837569451453
root_mean_squared_error
0.045327623876506476
root_relative_squared_error
0.25923650982641794
root_relative_squared_error
0.2826835920750326
root_relative_squared_error
0.26425072110254727
root_relative_squared_error
0.23011850626395172
root_relative_squared_error
0.27423223169385275
root_relative_squared_error
0.2519142471137178
root_relative_squared_error
0.2527593145833492
root_relative_squared_error
0.23797205344796704
root_relative_squared_error
0.2512036244706878
root_relative_squared_error
0.2357037106448491
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
295196.004671001
usercpu_time_millis
241199.62573299563
usercpu_time_millis
236007.23051899695
usercpu_time_millis
254211.25827100332
usercpu_time_millis
251753.42528700276
usercpu_time_millis
267414.6039390034
usercpu_time_millis
282275.5821779938
usercpu_time_millis
274862.5756409965
usercpu_time_millis
236284.23088299314
usercpu_time_millis
243916.3216080051
usercpu_time_millis_testing
464.6811330021592
usercpu_time_millis_testing
407.57751599448966
usercpu_time_millis_testing
400.325532995339
usercpu_time_millis_testing
411.34009799861815
usercpu_time_millis_testing
402.75430399924517
usercpu_time_millis_testing
385.64712300285464
usercpu_time_millis_testing
409.9026009935187
usercpu_time_millis_testing
403.9726499977405
usercpu_time_millis_testing
475.8949059978477
usercpu_time_millis_testing
395.096016000025
usercpu_time_millis_training
294731.32353799883
usercpu_time_millis_training
240792.04821700114
usercpu_time_millis_training
235606.9049860016
usercpu_time_millis_training
253799.9181730047
usercpu_time_millis_training
251350.6709830035
usercpu_time_millis_training
267028.9568160006
usercpu_time_millis_training
281865.67957700026
usercpu_time_millis_training
274458.60299099877
usercpu_time_millis_training
235808.3359769953
usercpu_time_millis_training
243521.22559200507
wall_clock_time_millis
295259.17196273804
wall_clock_time_millis
241308.62092971802
wall_clock_time_millis
236011.00087165833
wall_clock_time_millis
254273.1273174286
wall_clock_time_millis
251757.59434700012
wall_clock_time_millis
267425.58312416077
wall_clock_time_millis
282285.7446670532
wall_clock_time_millis
274867.1329021454
wall_clock_time_millis
236290.3606891632
wall_clock_time_millis
243929.93712425232
wall_clock_time_millis_testing
464.6952152252197
wall_clock_time_millis_testing
407.58824348449707
wall_clock_time_millis_testing
400.33745765686035
wall_clock_time_millis_testing
411.35263442993164
wall_clock_time_millis_testing
402.76527404785156
wall_clock_time_millis_testing
385.65826416015625
wall_clock_time_millis_testing
410.0766181945801
wall_clock_time_millis_testing
403.98406982421875
wall_clock_time_millis_testing
475.9087562561035
wall_clock_time_millis_testing
395.10607719421387
wall_clock_time_millis_training
294794.4767475128
wall_clock_time_millis_training
240901.03268623352
wall_clock_time_millis_training
235610.66341400146
wall_clock_time_millis_training
253861.77468299866
wall_clock_time_millis_training
251354.82907295227
wall_clock_time_millis_training
267039.9248600006
wall_clock_time_millis_training
281875.66804885864
wall_clock_time_millis_training
274463.14883232117
wall_clock_time_millis_training
235814.4519329071
wall_clock_time_millis_training
243534.8310470581