6016874
1
Jan van Rijn
3481
Supervised Classification
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4051563
bootstrap
false
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.5118072362604177
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
18
6902
min_samples_split
9
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
54780
6902
verbose
0
6902
warm_start
false
6902
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
openml-pimp
openml-python
Sklearn_0.18.1.
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
12956877
description
https://api.openml.org/data/download/12956877/description.xml
-1
12956878
predictions
https://api.openml.org/data/download/12956878/predictions.arff
area_under_roc_curve
0.9967391180164676 [0.995984,0.995065,0.999692,0.99497,0.994308,0.998557,0.991714,0.999465,0.999341,0.996726,0.996654,0.999121,0.996023,0.993485,0.999431,0.988577,0.997213,0.999807,0.999493,0.994347,0.999105,0.992506,0.997286,0.999712,0.999888,0.996759]
average_cost
0
f_measure
0.9056401334766264 [0.88746,0.850163,0.956376,0.856667,0.827703,0.919463,0.88707,0.96173,0.943457,0.872549,0.880795,0.935108,0.855148,0.862295,0.953795,0.846543,0.918644,0.961983,0.949833,0.884682,0.926667,0.836538,0.901408,0.968386,0.983278,0.918826]
kappa
0.90182885875299
kb_relative_information_score
6829.180896375111
mean_absolute_error
0.01920018451164182
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
0.9065985629085184 [0.857143,0.83121,0.962838,0.856667,0.839041,0.919463,0.871383,0.960133,0.915361,0.855769,0.875,0.933555,0.894161,0.848387,0.944444,0.856655,0.934483,0.954098,0.95302,0.914591,0.926667,0.805556,0.955224,0.966777,0.986577,0.953405]
predictive_accuracy
0.9056047197640118
prior_entropy
4.700438289429255
recall
0.9056047197640118 [0.92,0.87,0.95,0.856667,0.816667,0.919463,0.903333,0.963333,0.973333,0.89,0.886667,0.936667,0.819398,0.876667,0.963333,0.836667,0.903333,0.97,0.946667,0.856667,0.926667,0.87,0.853333,0.97,0.98,0.886667]
relative_absolute_error
0.25958651519546644
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.08172376599014466
root_relative_squared_error
0.42496360006513867
total_cost
0
area_under_roc_curve
0.9963042735042735 [0.989644,0.994667,0.999244,0.993867,0.990711,0.999778,0.998222,0.999156,0.999822,0.996356,0.994356,0.999289,0.994356,0.992978,0.998578,0.981111,0.994533,0.999733,1,0.992711,0.999289,0.9976,0.999111,0.9992,1,0.9996]
area_under_roc_curve
0.9963452991452991 [0.995778,0.996711,0.999689,0.994889,0.994711,0.999422,0.999378,0.999689,0.999378,0.998311,0.997067,0.999822,0.997244,0.990222,1,0.966489,0.999511,0.999733,0.999733,0.9972,0.999378,0.983422,0.998933,0.999822,1,0.998444]
area_under_roc_curve
0.9973299145299147 [0.997289,0.993467,0.999778,0.993289,0.9972,0.998489,0.997067,0.998133,0.9984,0.989511,0.997467,0.998044,0.998667,0.996933,0.999911,0.998578,0.999467,0.999644,0.9992,0.997511,0.997156,0.995644,0.9988,0.999333,1,0.9916]
area_under_roc_curve
0.997353846153846 [0.995733,0.997378,0.999289,0.998133,0.997378,0.997822,0.999244,0.999911,0.999956,0.998844,0.9988,0.999289,0.997244,0.9852,0.999333,0.987422,1,0.999956,0.9996,0.9968,0.999822,0.988311,0.996222,0.999822,0.999822,0.999867]
area_under_roc_curve
0.9971333333333332 [0.996844,0.996311,0.999822,0.994844,0.990489,0.996578,0.9984,0.999289,0.999911,0.997156,0.997333,0.999556,0.996222,0.9856,1,0.997156,0.9992,1,0.997911,0.988933,0.999333,0.998178,0.998756,0.999956,0.999733,0.997956]
area_under_roc_curve
0.9958666666666668 [0.999244,0.995022,1,0.9888,0.995111,0.998844,0.994667,1,0.999956,0.998311,0.99,0.997778,0.9952,0.998711,0.999556,0.986533,0.989822,1,0.999244,0.988578,0.999733,0.9804,0.999333,0.999644,0.999467,0.998578]
area_under_roc_curve
0.9975128205128203 [0.996711,0.995422,0.999511,0.9976,0.991689,0.998089,0.998044,0.999156,0.999822,0.997644,0.997467,0.999867,0.990933,0.996444,0.999289,0.988933,0.998756,0.999911,0.999778,0.999422,0.998578,0.998267,0.998133,0.999822,0.999956,0.996089]
area_under_roc_curve
0.9968071078082714 [0.995372,0.988563,0.999866,0.997953,0.993814,0.999911,0.971162,0.999955,0.999822,0.99773,0.998887,0.999911,0.998621,0.997063,0.998264,0.999644,0.996217,0.999911,1,0.994081,0.999421,0.995372,0.996707,0.999955,1,0.998843]
area_under_roc_curve
0.9958104904385423 [0.999332,0.994348,0.999911,0.993102,0.995772,0.998529,0.97105,0.999955,0.996796,0.994838,0.996351,0.999822,0.995149,0.998754,0.999955,0.997018,0.99862,0.999555,1,0.990699,0.998442,0.995194,0.988117,1,1,0.989853]
area_under_roc_curve
0.9977823359401466 [0.995105,0.998887,0.999955,0.998665,0.997196,0.998023,0.993725,1,0.999777,0.998887,0.998531,0.997997,0.995505,0.994437,0.999421,0.988963,0.996351,0.999866,0.999466,0.99862,0.999644,0.995105,0.99951,0.999955,1,0.998754]
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
0.8895366666424931 [0.847458,0.721311,0.935484,0.857143,0.754098,0.915254,0.9,0.965517,0.966667,0.881356,0.870968,0.920635,0.857143,0.825397,0.966667,0.806452,0.877193,0.95082,0.9375,0.857143,0.933333,0.918033,0.830189,0.915254,0.983607,0.933333]
f_measure
0.9179365711552605 [0.875,0.862069,0.983607,0.875,0.857143,0.9375,0.920635,0.983051,0.95082,0.875,0.862069,1,0.877193,0.866667,0.983607,0.836364,0.949153,0.95082,0.965517,0.892857,0.931034,0.786885,0.966667,0.965517,0.983607,0.928571]
f_measure
0.9056939408445134 [0.878788,0.877193,0.966667,0.785714,0.888889,0.918033,0.857143,0.966667,0.920635,0.852459,0.870968,0.928571,0.896552,0.881356,0.952381,0.877193,0.947368,0.931034,0.915254,0.915254,0.933333,0.8,0.931034,0.966667,1,0.888889]
f_measure
0.9124637543043181 [0.95082,0.861538,0.918033,0.903226,0.862069,0.9,0.882353,0.983051,0.920635,0.9,0.90625,0.933333,0.881356,0.821429,0.95082,0.877193,0.965517,0.966667,0.949153,0.872727,0.935484,0.827586,0.888889,0.967742,0.95082,0.947368]
f_measure
0.9042919923442794 [0.888889,0.857143,0.983051,0.870968,0.727273,0.9,0.966667,0.931034,0.967742,0.918033,0.866667,0.966667,0.777778,0.823529,0.983607,0.903226,0.95082,1,0.877193,0.852459,0.9,0.870968,0.830189,0.983607,0.983051,0.931034]
f_measure
0.9020746012460522 [0.918033,0.861538,0.947368,0.793103,0.807018,0.862069,0.892308,0.966667,0.983607,0.933333,0.83871,0.931034,0.872727,0.920635,0.920635,0.777778,0.915254,0.983607,0.903226,0.912281,0.95082,0.8125,0.949153,0.95082,0.983051,0.866667]
f_measure
0.9010859070991489 [0.888889,0.875,0.915254,0.857143,0.807018,0.918033,0.885246,0.949153,0.923077,0.866667,0.933333,0.965517,0.806452,0.857143,0.947368,0.758621,0.918033,0.966667,0.965517,0.90625,0.918033,0.819672,0.920635,0.983607,0.983051,0.892857]
f_measure
0.904432015614707 [0.870968,0.833333,0.966667,0.896552,0.8,0.967742,0.807018,0.9375,0.9375,0.847458,0.933333,0.918033,0.949153,0.915254,0.885246,0.923077,0.827586,0.966667,1,0.827586,0.896552,0.83871,0.888889,0.965517,0.983051,0.933333]
f_measure
0.8973432384281992 [0.923077,0.83871,0.947368,0.813559,0.857143,0.928571,0.857143,0.967742,0.915254,0.8,0.872727,0.966667,0.8,0.888889,1,0.818182,0.885246,0.935484,1,0.851852,0.881356,0.8,0.881356,0.983607,1,0.918033]
f_measure
0.9193510354255977 [0.827586,0.915254,1,0.903226,0.903226,0.945455,0.896552,0.967742,0.95082,0.857143,0.852459,0.830769,0.827586,0.825397,0.949153,0.877193,0.949153,0.967742,0.983607,0.95082,0.983607,0.9,0.909091,1,0.983051,0.947368]
kappa
0.8853333333333333
kappa
0.9146666666666666
kappa
0.9013333333333333
kappa
0.9093333333333333
kappa
0.9013333333333333
kappa
0.8986666666666667
kappa
0.8973333333333333
kappa
0.9012066817366208
kappa
0.8931958635676558
kappa
0.9158915984143877
kb_relative_information_score
676.9985178224472
kb_relative_information_score
685.2301605247313
kb_relative_information_score
679.3779101294954
kb_relative_information_score
687.1068440469554
kb_relative_information_score
681.4526107302878
kb_relative_information_score
680.6743482532377
kb_relative_information_score
682.6531751845865
kb_relative_information_score
685.5262429979753
kb_relative_information_score
681.1388146151737
kb_relative_information_score
689.0222720701933
mean_absolute_error
0.02020547605237239
mean_absolute_error
0.018986945402588173
mean_absolute_error
0.019726185975765514
mean_absolute_error
0.018905296380044578
mean_absolute_error
0.01936511361851406
mean_absolute_error
0.019425326542443947
mean_absolute_error
0.019241503195630137
mean_absolute_error
0.018932902210951872
mean_absolute_error
0.019111717040301842
mean_absolute_error
0.01809951148909509
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
0.8925310426360232 [0.862069,0.709677,0.90625,0.818182,0.741935,0.931034,0.9,1,0.966667,0.896552,0.84375,0.878788,0.923077,0.787879,0.966667,0.78125,0.925926,0.935484,0.882353,0.923077,0.933333,0.903226,0.956522,0.931034,0.967742,0.933333]
precision
0.9213312666304427 [0.823529,0.892857,0.967742,0.823529,0.818182,0.882353,0.878788,1,0.935484,0.823529,0.892857,1,0.925926,0.866667,0.967742,0.92,0.965517,0.935484,1,0.961538,0.964286,0.774194,0.966667,1,0.967742,1]
precision
0.9112649643118862 [0.805556,0.925926,0.966667,0.846154,0.848485,0.903226,0.818182,0.966667,0.878788,0.83871,0.84375,1,0.928571,0.896552,0.909091,0.925926,1,0.964286,0.931034,0.931034,0.933333,0.7,0.964286,0.966667,1,1]
precision
0.9166246321108609 [0.935484,0.8,0.903226,0.875,0.892857,0.9,0.789474,1,0.878788,0.9,0.852941,0.933333,0.896552,0.884615,0.935484,0.925926,1,0.966667,0.965517,0.96,0.90625,0.857143,1,0.9375,0.935484,1]
precision
0.9077858112063102 [0.848485,0.818182,1,0.84375,0.8,0.9,0.966667,0.964286,0.9375,0.903226,0.866667,0.966667,0.875,0.736842,0.967742,0.875,0.935484,1,0.925926,0.83871,0.9,0.84375,0.956522,0.967742,1,0.964286]
precision
0.9053705816171463 [0.903226,0.8,1,0.821429,0.851852,0.892857,0.828571,0.966667,0.967742,0.933333,0.8125,0.964286,0.96,0.878788,0.878788,0.875,0.931034,0.967742,0.875,0.962963,0.935484,0.764706,0.965517,0.935484,1,0.866667]
precision
0.9040558353227438 [0.848485,0.823529,0.931034,0.923077,0.851852,0.903226,0.870968,0.965517,0.857143,0.866667,0.933333,1,0.78125,0.923077,1,0.785714,0.903226,0.966667,1,0.852941,0.903226,0.806452,0.878788,0.967742,1,0.961538]
precision
0.9066135448650092 [0.84375,0.833333,0.966667,0.928571,0.8,0.9375,0.851852,0.882353,0.882353,0.862069,0.933333,0.903226,0.933333,0.931034,0.870968,0.857143,0.857143,0.966667,1,0.857143,0.928571,0.8125,1,1,1,0.933333]
precision
0.9024365721500142 [0.857143,0.8125,1,0.827586,0.923077,0.962963,0.923077,0.9375,0.931034,0.742857,0.96,0.966667,0.88,0.848485,1,0.75,0.870968,0.90625,1,0.958333,0.896552,0.742857,0.896552,0.967742,1,0.903226]
precision
0.9221502889131732 [0.857143,0.931034,1,0.875,0.875,1,0.928571,0.9375,0.935484,0.818182,0.83871,0.771429,0.857143,0.787879,0.965517,0.925926,0.965517,0.9375,0.967742,0.935484,0.967742,0.9,1,1,1,1]
predictive_accuracy
0.8897435897435898
predictive_accuracy
0.9179487179487179
predictive_accuracy
0.9051282051282051
predictive_accuracy
0.9128205128205128
predictive_accuracy
0.9051282051282051
predictive_accuracy
0.9025641025641026
predictive_accuracy
0.9012820512820512
predictive_accuracy
0.9050064184852374
predictive_accuracy
0.8973042362002568
predictive_accuracy
0.9191270860077022
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
0.8897435897435897 [0.833333,0.733333,0.966667,0.9,0.766667,0.9,0.9,0.933333,0.966667,0.866667,0.9,0.966667,0.8,0.866667,0.966667,0.833333,0.833333,0.966667,1,0.8,0.933333,0.933333,0.733333,0.9,1,0.933333]
recall
0.9179487179487179 [0.933333,0.833333,1,0.933333,0.9,1,0.966667,0.966667,0.966667,0.933333,0.833333,1,0.833333,0.866667,1,0.766667,0.933333,0.966667,0.933333,0.833333,0.9,0.8,0.966667,0.933333,1,0.866667]
recall
0.9051282051282051 [0.966667,0.833333,0.966667,0.733333,0.933333,0.933333,0.9,0.966667,0.966667,0.866667,0.9,0.866667,0.866667,0.866667,1,0.833333,0.9,0.9,0.9,0.9,0.933333,0.933333,0.9,0.966667,1,0.8]
recall
0.9128205128205128 [0.966667,0.933333,0.933333,0.933333,0.833333,0.9,1,0.966667,0.966667,0.9,0.966667,0.933333,0.866667,0.766667,0.966667,0.833333,0.933333,0.966667,0.933333,0.8,0.966667,0.8,0.8,1,0.966667,0.9]
recall
0.9051282051282051 [0.933333,0.9,0.966667,0.9,0.666667,0.9,0.966667,0.9,1,0.933333,0.866667,0.966667,0.7,0.933333,1,0.933333,0.966667,1,0.833333,0.866667,0.9,0.9,0.733333,1,0.966667,0.9]
recall
0.9025641025641026 [0.933333,0.933333,0.9,0.766667,0.766667,0.833333,0.966667,0.966667,1,0.933333,0.866667,0.9,0.8,0.966667,0.966667,0.7,0.9,1,0.933333,0.866667,0.966667,0.866667,0.933333,0.966667,0.966667,0.866667]
recall
0.9012820512820513 [0.933333,0.933333,0.9,0.8,0.766667,0.933333,0.9,0.933333,1,0.866667,0.933333,0.933333,0.833333,0.8,0.9,0.733333,0.933333,0.966667,0.933333,0.966667,0.933333,0.833333,0.966667,1,0.966667,0.833333]
recall
0.9050064184852374 [0.9,0.833333,0.966667,0.866667,0.8,1,0.766667,1,1,0.833333,0.933333,0.933333,0.965517,0.9,0.9,1,0.8,0.966667,1,0.8,0.866667,0.866667,0.8,0.933333,0.966667,0.933333]
recall
0.8973042362002568 [1,0.866667,0.9,0.8,0.8,0.896552,0.8,1,0.9,0.866667,0.8,0.966667,0.733333,0.933333,1,0.9,0.9,0.966667,1,0.766667,0.866667,0.866667,0.866667,1,1,0.933333]
recall
0.9191270860077022 [0.8,0.9,1,0.933333,0.933333,0.896552,0.866667,1,0.966667,0.9,0.866667,0.9,0.8,0.866667,0.933333,0.833333,0.933333,1,1,0.966667,1,0.9,0.833333,1,0.966667,0.9]
relative_absolute_error
0.2731780362280731
relative_absolute_error
0.25670350184299057
relative_absolute_error
0.2666980343923481
relative_absolute_error
0.2555996070582011
relative_absolute_error
0.2618163361223085
relative_absolute_error
0.2626304148538406
relative_absolute_error
0.26014512320491784
relative_absolute_error
0.2559728765350814
relative_absolute_error
0.25839049748885895
relative_absolute_error
0.24470547403514387
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
0.08484287542581037
root_mean_squared_error
0.0810851477969681
root_mean_squared_error
0.0828396580340361
root_mean_squared_error
0.08055096596602344
root_mean_squared_error
0.08286995201003014
root_mean_squared_error
0.08307262881818887
root_mean_squared_error
0.0813691818978918
root_mean_squared_error
0.08060671653093389
root_mean_squared_error
0.081490012315738
root_mean_squared_error
0.0783280288972302
root_relative_squared_error
0.44118293476855525
root_relative_squared_error
0.4216427518712512
root_relative_squared_error
0.43076620474323696
root_relative_squared_error
0.4188650064601792
root_relative_squared_error
0.4309237334121768
root_relative_squared_error
0.43197765277292716
root_relative_squared_error
0.42311972913765045
root_relative_squared_error
0.419154972664092
root_relative_squared_error
0.42374818357220884
root_relative_squared_error
0.40730586515793904
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
252838.19730999946
usercpu_time_millis
241655.1646730004
usercpu_time_millis
241377.5104479996
usercpu_time_millis
245986.0323329999
usercpu_time_millis
243256.48571500005
usercpu_time_millis
244635.1155440002
usercpu_time_millis
242395.91288100064
usercpu_time_millis
240680.74072299985
usercpu_time_millis
241128.31027399987
usercpu_time_millis
244918.6291670003
usercpu_time_millis_testing
58.66417199968055
usercpu_time_millis_testing
59.01889200004007
usercpu_time_millis_testing
61.02966699972967
usercpu_time_millis_testing
59.93253799988452
usercpu_time_millis_testing
65.11425300004703
usercpu_time_millis_testing
58.91286800033413
usercpu_time_millis_testing
62.76572600017971
usercpu_time_millis_testing
58.86914099937712
usercpu_time_millis_testing
58.42875100006495
usercpu_time_millis_testing
58.27173400030006
usercpu_time_millis_training
252779.5331379998
usercpu_time_millis_training
241596.14578100035
usercpu_time_millis_training
241316.48078099987
usercpu_time_millis_training
245926.09979500002
usercpu_time_millis_training
243191.371462
usercpu_time_millis_training
244576.20267599987
usercpu_time_millis_training
242333.14715500045
usercpu_time_millis_training
240621.8715820005
usercpu_time_millis_training
241069.8815229998
usercpu_time_millis_training
244860.357433