5995470
1
Jan van Rijn
3481
Supervised Classification
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
4030203
class_weight
null
6941
criterion
"gini"
6941
max_depth
6
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
28005
6941
splitter
"best"
6941
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
algorithm
"SAMME.R"
6971
learning_rate
0.04951511078221144
6971
n_estimators
80
6971
random_state
38954
6971
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
12914090
description
https://api.openml.org/data/download/12914090/description.xml
-1
12914091
predictions
https://api.openml.org/data/download/12914091/predictions.arff
area_under_roc_curve
0.9960297692115314 [0.995212,0.993871,0.998498,0.992908,0.991522,0.995175,0.990472,0.999647,0.999817,0.996246,0.997973,0.998964,0.993909,0.996495,0.999653,0.987002,0.997543,0.999888,0.998826,0.991895,0.999668,0.991251,0.996704,0.999364,0.99996,0.994295]
average_cost
0
f_measure
0.9123966659328459 [0.91222,0.841935,0.956971,0.882353,0.807432,0.8875,0.901173,0.973064,0.962233,0.890388,0.8992,0.956522,0.863158,0.870253,0.959732,0.860427,0.963087,0.968174,0.888087,0.892256,0.957792,0.82504,0.917874,0.976431,0.984823,0.923858]
kappa
0.9086316114545697
kb_relative_information_score
7074.879340506741
mean_absolute_error
0.014112167408643583
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
0.9145366868081851 [0.94306,0.815625,0.989324,0.917266,0.818493,0.830409,0.905724,0.982993,0.94822,0.901024,0.864615,0.959732,0.907749,0.828313,0.966216,0.847896,0.969595,0.973064,0.968504,0.901361,0.933544,0.795666,0.88785,0.986395,0.996587,0.938144]
predictive_accuracy
0.912145697062973
prior_entropy
4.700438289429255
recall
0.912145697062973 [0.883333,0.87,0.926667,0.85,0.796667,0.95302,0.896667,0.963333,0.976667,0.88,0.936667,0.953333,0.822742,0.916667,0.953333,0.873333,0.956667,0.963333,0.82,0.883333,0.983333,0.856667,0.95,0.966667,0.973333,0.91]
relative_absolute_error
0.19079651850447607
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.07618304239106535
root_relative_squared_error
0.39615183620302585
total_cost
0
area_under_roc_curve
0.9962461538461539 [0.998711,0.993111,0.994267,0.998489,0.989822,0.999733,0.996489,0.999778,0.999644,0.997422,0.996533,0.999956,0.987822,0.997022,0.998667,0.987156,0.995867,0.999733,0.999733,0.984489,0.999778,0.998711,0.992133,0.999333,0.999689,0.998311]
area_under_roc_curve
0.9961111111111111 [0.994222,0.996044,0.999689,0.994756,0.990667,0.9968,0.998978,0.999867,0.999911,0.997689,0.997289,0.999911,0.996622,0.998489,1,0.961911,0.999956,0.999822,0.999511,0.991867,0.999733,0.992133,0.999422,1,1,0.9936]
area_under_roc_curve
0.9962769230769228 [0.988711,0.995511,0.999733,0.992978,0.9936,0.997422,0.9944,0.999778,0.999467,0.990356,0.996356,1,0.998267,0.996133,0.999644,0.9924,0.998667,0.999822,0.996533,0.994133,0.999333,0.998844,0.997156,0.994844,1,0.989111]
area_under_roc_curve
0.9966478632478631 [0.997467,0.993778,0.999911,0.989867,0.996,0.997733,0.9988,1,1,0.998533,0.999111,0.998444,0.999289,0.999511,0.999867,0.980489,1,1,0.998978,0.988089,1,0.979689,0.999556,1,1,0.997733]
area_under_roc_curve
0.9962512820512818 [0.999733,0.993156,0.993867,0.994622,0.990756,0.979111,0.998844,0.999689,0.999822,0.995778,0.997867,0.999822,0.994667,0.992889,1,0.996222,1,0.999822,0.998489,0.987111,0.999644,0.996444,0.997467,0.999733,1,0.996978]
area_under_roc_curve
0.9968461538461538 [0.9996,0.996311,0.999911,0.992267,0.996,0.9996,0.992,1,1,0.999156,0.995778,0.993956,0.996489,0.996356,0.999822,0.990267,0.991333,1,0.999333,0.998356,1,0.982844,0.999733,1,1,0.998889]
area_under_roc_curve
0.9964974358974359 [0.986222,0.993778,1,0.998267,0.991556,0.992222,0.9988,0.997289,0.999911,0.998578,0.9984,0.9996,0.983733,0.997111,0.998844,0.9924,0.999956,0.999911,0.999822,0.9988,0.999422,0.997111,1,1,1,0.9872]
area_under_roc_curve
0.996879221075255 [0.99862,0.992256,1,0.996351,0.987761,0.998442,0.97263,0.999644,0.999822,0.998976,0.999955,0.998665,0.996,0.993191,0.999866,0.999866,0.996885,0.999777,0.999466,0.995238,0.999332,0.997063,0.999377,1,0.999955,0.999688]
area_under_roc_curve
0.9930367496128059 [0.999599,0.989764,0.999644,0.974944,0.986426,0.994989,0.969737,1,0.999822,0.985759,0.998264,0.999688,0.993947,0.998665,0.999911,0.995594,0.993858,1,0.99951,0.984958,0.999288,0.983445,0.984958,0.999866,1,0.986382]
area_under_roc_curve
0.9971636453796905 [0.992345,0.995728,0.997552,0.999777,0.995461,0.997609,0.992657,0.999911,0.999911,0.999421,0.999154,0.999733,0.994081,0.996395,0.999866,0.986382,0.999955,1,0.99862,0.998442,0.999822,0.992835,0.996351,1,0.999911,0.994348]
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
0.9043889953822946 [0.872727,0.830769,0.912281,0.933333,0.785714,0.895522,0.881356,0.965517,0.967742,0.931034,0.861538,0.983051,0.852459,0.847458,0.966667,0.862069,0.933333,0.949153,0.912281,0.903226,0.965517,0.861538,0.861538,0.928571,0.983051,0.866667]
f_measure
0.9195646890201312 [0.866667,0.852459,0.983607,0.928571,0.80597,0.878788,0.931034,0.966667,0.983051,0.892308,0.933333,0.967742,0.892857,0.90625,0.965517,0.821429,0.983051,0.983607,0.888889,0.866667,0.966667,0.827586,0.920635,0.983051,1,0.912281]
f_measure
0.9002626057551509 [0.903226,0.813559,0.947368,0.821429,0.807018,0.920635,0.896552,0.966667,0.9,0.881356,0.918033,0.983051,0.9,0.819672,0.952381,0.830769,0.966667,0.931034,0.872727,0.847458,0.966667,0.833333,0.885246,0.965517,0.983607,0.892857]
f_measure
0.9270875540489736 [0.965517,0.8,0.983051,0.847458,0.836364,0.920635,0.923077,0.966667,1,0.888889,0.895522,0.933333,0.912281,0.920635,0.949153,0.912281,0.983607,1,0.912281,0.877193,0.983607,0.741935,0.967742,1,1,0.983051]
f_measure
0.9001111248414967 [0.966667,0.830769,0.909091,0.896552,0.774194,0.776119,0.95082,0.949153,0.952381,0.9,0.852459,0.966667,0.814815,0.818182,0.983607,0.881356,1,0.965517,0.784314,0.830769,0.967742,0.814815,0.949153,0.966667,0.983051,0.918033]
f_measure
0.9179696357618234 [0.947368,0.852459,0.947368,0.793103,0.806452,0.895522,0.881356,1,0.983051,0.915254,0.875,0.912281,0.912281,0.903226,0.95082,0.842105,0.95082,0.983607,0.888889,0.931034,0.967742,0.888889,0.9375,0.983051,1,0.918033]
f_measure
0.9113456762930419 [0.912281,0.833333,0.983051,0.857143,0.793103,0.888889,0.933333,0.965517,0.952381,0.862069,0.903226,0.918033,0.763636,0.865672,0.928571,0.84375,0.966667,0.983051,0.909091,0.967742,0.952381,0.830769,0.983607,0.983607,0.983051,0.931034]
f_measure
0.9309300619139376 [0.949153,0.888889,1,0.947368,0.833333,0.918033,0.885246,0.965517,0.952381,0.896552,0.983607,0.966667,0.928571,0.903226,0.983051,0.869565,0.947368,0.931034,0.915254,0.892857,0.983607,0.842105,0.923077,0.983607,0.947368,0.966667]
f_measure
0.895993929635285 [0.935484,0.819672,0.928571,0.827586,0.8,0.915254,0.821429,1,0.983607,0.825397,0.852459,0.966667,0.836364,0.861538,0.965517,0.830769,0.915254,1,0.912281,0.851852,0.90625,0.818182,0.852459,0.966667,1,0.903226]
f_measure
0.9146623099306828 [0.784314,0.9,0.966667,0.966667,0.833333,0.875,0.9,0.983607,0.949153,0.915254,0.920635,0.966667,0.813559,0.857143,0.95082,0.915254,0.983051,0.952381,0.872727,0.95082,0.923077,0.786885,0.9,1,0.965517,0.947368]
kappa
0.9
kappa
0.9159999999999999
kappa
0.896
kappa
0.924
kappa
0.896
kappa
0.9146666666666666
kappa
0.908
kappa
0.9279072079081677
kappa
0.8918613678468417
kappa
0.9118877954982468
kb_relative_information_score
704.2671478685317
kb_relative_information_score
711.519784865525
kb_relative_information_score
701.8224368302008
kb_relative_information_score
713.4755415940459
kb_relative_information_score
700.5958877005058
kb_relative_information_score
712.1040984103572
kb_relative_information_score
708.656623718298
kb_relative_information_score
715.7455894887339
kb_relative_information_score
694.1179929113778
kb_relative_information_score
712.5742371191495
mean_absolute_error
0.014335357280644497
mean_absolute_error
0.013109056861331118
mean_absolute_error
0.014767812139346373
mean_absolute_error
0.013628574874202114
mean_absolute_error
0.015277788682657526
mean_absolute_error
0.013658886694826929
mean_absolute_error
0.014351865239346085
mean_absolute_error
0.01316738136730128
mean_absolute_error
0.015603151364689961
mean_absolute_error
0.013221357772190067
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
0.909492677689071 [0.96,0.771429,0.962963,0.933333,0.846154,0.810811,0.896552,1,0.9375,0.964286,0.8,1,0.83871,0.862069,0.966667,0.892857,0.933333,0.965517,0.962963,0.875,1,0.8,0.8,1,1,0.866667]
precision
0.9245317191556792 [0.866667,0.83871,0.967742,1,0.72973,0.805556,0.964286,0.966667,1,0.828571,0.933333,0.9375,0.961538,0.852941,1,0.884615,1,0.967742,1,0.866667,0.966667,0.857143,0.878788,1,1,0.962963]
precision
0.9051557656839166 [0.875,0.827586,1,0.884615,0.851852,0.878788,0.928571,0.966667,0.9,0.896552,0.903226,1,0.9,0.806452,0.909091,0.771429,0.966667,0.964286,0.96,0.862069,0.966667,0.714286,0.870968,1,0.967742,0.961538]
precision
0.9316354408102183 [1,0.742857,1,0.862069,0.92,0.878788,0.857143,0.966667,1,1,0.810811,0.933333,0.962963,0.878788,0.965517,0.962963,0.967742,1,0.962963,0.925926,0.967742,0.71875,0.9375,1,1,1]
precision
0.9068916910059847 [0.966667,0.771429,1,0.928571,0.75,0.702703,0.935484,0.965517,0.909091,0.9,0.83871,0.966667,0.916667,0.75,0.967742,0.896552,1,1,0.952381,0.771429,0.9375,0.916667,0.965517,0.966667,1,0.903226]
precision
0.9218341723443391 [1,0.83871,1,0.821429,0.78125,0.810811,0.896552,1,1,0.931034,0.823529,0.962963,0.962963,0.875,0.935484,0.888889,0.935484,0.967742,1,0.964286,0.9375,0.848485,0.882353,1,1,0.903226]
precision
0.915582730550071 [0.962963,0.833333,1,0.923077,0.821429,0.848485,0.933333,1,0.909091,0.892857,0.875,0.903226,0.84,0.783784,1,0.794118,0.966667,1,1,0.9375,0.909091,0.771429,0.967742,0.967742,1,0.964286]
precision
0.934803690131247 [0.965517,0.848485,1,1,0.833333,0.903226,0.870968,1,0.909091,0.928571,0.967742,0.966667,0.962963,0.875,1,0.769231,1,0.964286,0.931034,0.961538,0.967742,0.888889,0.857143,0.967742,1,0.966667]
precision
0.9008677969120763 [0.90625,0.806452,1,0.857143,0.88,0.9,0.884615,1,0.967742,0.787879,0.83871,0.966667,0.92,0.8,1,0.771429,0.931034,1,0.962963,0.958333,0.852941,0.75,0.83871,0.966667,1,0.875]
precision
0.9184978198402042 [0.952381,0.9,0.966667,0.966667,0.833333,0.8,0.9,0.967742,0.965517,0.931034,0.878788,0.966667,0.827586,0.818182,0.935484,0.931034,1,0.909091,0.96,0.935484,0.857143,0.774194,0.9,1,1,1]
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.9192307692307692
predictive_accuracy
0.9
predictive_accuracy
0.926923076923077
predictive_accuracy
0.9
predictive_accuracy
0.9179487179487179
predictive_accuracy
0.9115384615384616
predictive_accuracy
0.9306803594351734
predictive_accuracy
0.8960205391527599
predictive_accuracy
0.9152759948652118
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
recall
0.9038461538461539 [0.8,0.9,0.866667,0.933333,0.733333,1,0.866667,0.933333,1,0.9,0.933333,0.966667,0.866667,0.833333,0.966667,0.833333,0.933333,0.933333,0.866667,0.933333,0.933333,0.933333,0.933333,0.866667,0.966667,0.866667]
recall
0.9192307692307692 [0.866667,0.866667,1,0.866667,0.9,0.966667,0.9,0.966667,0.966667,0.966667,0.933333,1,0.833333,0.966667,0.933333,0.766667,0.966667,1,0.8,0.866667,0.966667,0.8,0.966667,0.966667,1,0.866667]
recall
0.9 [0.933333,0.8,0.9,0.766667,0.766667,0.966667,0.866667,0.966667,0.9,0.866667,0.933333,0.966667,0.9,0.833333,1,0.9,0.966667,0.9,0.8,0.833333,0.966667,1,0.9,0.933333,1,0.833333]
recall
0.926923076923077 [0.933333,0.866667,0.966667,0.833333,0.766667,0.966667,1,0.966667,1,0.8,1,0.933333,0.866667,0.966667,0.933333,0.866667,1,1,0.866667,0.833333,1,0.766667,1,1,1,0.966667]
recall
0.9 [0.966667,0.9,0.833333,0.866667,0.8,0.866667,0.966667,0.933333,1,0.9,0.866667,0.966667,0.733333,0.9,1,0.866667,1,0.933333,0.666667,0.9,1,0.733333,0.933333,0.966667,0.966667,0.933333]
recall
0.9179487179487179 [0.9,0.866667,0.9,0.766667,0.833333,1,0.866667,1,0.966667,0.9,0.933333,0.866667,0.866667,0.933333,0.966667,0.8,0.966667,1,0.8,0.9,1,0.933333,1,0.966667,1,0.933333]
recall
0.9115384615384615 [0.866667,0.833333,0.966667,0.8,0.766667,0.933333,0.933333,0.933333,1,0.833333,0.933333,0.933333,0.7,0.966667,0.866667,0.9,0.966667,0.966667,0.833333,1,1,0.9,1,1,0.966667,0.9]
recall
0.9306803594351734 [0.933333,0.933333,1,0.9,0.833333,0.933333,0.9,0.933333,1,0.866667,1,0.966667,0.896552,0.933333,0.966667,1,0.9,0.9,0.9,0.833333,1,0.8,1,1,0.9,0.966667]
recall
0.8960205391527599 [0.966667,0.833333,0.866667,0.8,0.733333,0.931034,0.766667,1,1,0.866667,0.866667,0.966667,0.766667,0.933333,0.933333,0.9,0.9,1,0.866667,0.766667,0.966667,0.9,0.866667,0.966667,1,0.933333]
recall
0.9152759948652118 [0.666667,0.9,0.966667,0.966667,0.833333,0.965517,0.9,1,0.933333,0.9,0.966667,0.966667,0.8,0.9,0.966667,0.9,0.966667,1,0.8,0.966667,1,0.8,0.9,1,0.933333,0.9]
relative_absolute_error
0.19381403043431242
relative_absolute_error
0.17723444876519565
relative_absolute_error
0.19966082012396175
relative_absolute_error
0.18425833229921149
relative_absolute_error
0.20655570298952852
relative_absolute_error
0.18466814811405896
relative_absolute_error
0.1940372180359579
relative_absolute_error
0.17802302296120545
relative_absolute_error
0.21095467429819867
relative_absolute_error
0.17875281457078482
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
0.07787016110819059
root_mean_squared_error
0.07402805233209724
root_mean_squared_error
0.07809363288904708
root_mean_squared_error
0.07294410061857193
root_mean_squared_error
0.0809715106795559
root_mean_squared_error
0.07314485189120977
root_mean_squared_error
0.07615675715829406
root_mean_squared_error
0.07045223024099923
root_mean_squared_error
0.08346793600724615
root_mean_squared_error
0.07374491894608355
root_relative_squared_error
0.4049248217506839
root_relative_squared_error
0.3849458569050249
root_relative_squared_error
0.40608687496518664
root_relative_squared_error
0.37930930821757886
root_relative_squared_error
0.42105183888407427
root_relative_squared_error
0.3803532147940165
root_relative_squared_error
0.3960151215635374
root_relative_squared_error
0.3663516380729597
root_relative_squared_error
0.43403338966928956
root_relative_squared_error
0.38347368668942466
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
276403.33650799945
usercpu_time_millis
278824.0635780003
usercpu_time_millis
276206.3327999986
usercpu_time_millis
280439.1929430003
usercpu_time_millis
276069.4782520004
usercpu_time_millis
277116.2064649998
usercpu_time_millis
277470.30264000024
usercpu_time_millis
276649.82426399906
usercpu_time_millis
280314.411596999
usercpu_time_millis
276563.501437
usercpu_time_millis_testing
196.85980400026892
usercpu_time_millis_testing
199.31437500054017
usercpu_time_millis_testing
197.46267099981196
usercpu_time_millis_testing
199.0361699990899
usercpu_time_millis_testing
196.90754899966123
usercpu_time_millis_testing
198.3011140000599
usercpu_time_millis_testing
196.69524100027047
usercpu_time_millis_testing
196.92947399926197
usercpu_time_millis_testing
197.52818899905833
usercpu_time_millis_testing
196.34175399914966
usercpu_time_millis_training
276206.4767039992
usercpu_time_millis_training
278624.74920299975
usercpu_time_millis_training
276008.87012899877
usercpu_time_millis_training
280240.1567730012
usercpu_time_millis_training
275872.57070300076
usercpu_time_millis_training
276917.90535099973
usercpu_time_millis_training
277273.607399
usercpu_time_millis_training
276452.8947899998
usercpu_time_millis_training
280116.88340799994
usercpu_time_millis_training
276367.1596830009