6724893
1
Jan van Rijn
3481
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4756792
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
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
true
6948
threshold
0.0
6949
C
13.187958850019967
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.27597274662591675
6953
decision_function_shape
null
6953
degree
3
6953
gamma
1.440934668747424
6953
kernel
"poly"
6953
max_iter
-1
6953
probability
true
6953
random_state
59763
6953
shrinking
false
6953
tol
0.004731936399625435
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
14381582
description
https://api.openml.org/data/download/14381582/description.xml
-1
14381583
predictions
https://api.openml.org/data/download/14381583/predictions.arff
area_under_roc_curve
0.9996100626714233 [0.999925,0.99892,0.999954,0.999423,0.999679,0.999278,0.999004,0.999882,0.999986,0.99943,0.999516,1,0.999563,0.999153,0.999998,0.998333,0.999992,0.99998,0.999697,0.99933,0.999996,0.999243,0.999996,0.999976,1,0.999607]
average_cost
0
f_measure
0.9761474107467168 [0.988391,0.933775,0.983389,0.94702,0.960133,0.962963,0.973333,0.993289,0.994992,0.991653,0.991653,0.996667,0.963333,0.963333,0.996667,0.93178,0.998336,0.996678,0.974874,0.963087,0.996656,0.939394,0.98843,0.991681,0.998331,0.959866]
kappa
0.9751904550443775
kb_relative_information_score
7518.388108084655
mean_absolute_error
0.006216457420427579
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
0.97618694104539 [0.983498,0.927632,0.980132,0.940789,0.956954,0.966216,0.973333,1,0.996656,0.993311,0.993311,0.996667,0.960133,0.963333,0.996667,0.930233,0.996678,0.993377,0.979798,0.969595,1,0.94898,0.980328,0.990033,1,0.963087]
predictive_accuracy
0.9761446710273183
prior_entropy
4.700438289429255
recall
0.9761446710273182 [0.993333,0.94,0.986667,0.953333,0.963333,0.959732,0.973333,0.986667,0.993333,0.99,0.99,0.996667,0.966555,0.963333,0.996667,0.933333,1,1,0.97,0.956667,0.993333,0.93,0.996667,0.993333,0.996667,0.956667]
relative_absolute_error
0.08404651099323235
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.04122573694463556
root_relative_squared_error
0.21437384064561396
total_cost
0
area_under_roc_curve
0.9998205128205129 [0.999911,1,0.999778,0.999644,0.999956,0.999867,1,1,1,1,1,1,0.999556,0.999511,1,0.998533,0.999911,1,1,0.999422,0.999956,0.999778,1,0.999778,1,0.999733]
area_under_roc_curve
0.9995025641025642 [0.999911,0.998978,1,0.999467,0.999867,1,1,1,0.999911,0.999467,0.9956,1,0.999333,0.998933,1,0.997867,1,0.999733,1,0.999778,1,0.998222,1,1,1,1]
area_under_roc_curve
0.9996529914529915 [0.999689,0.999467,0.999956,0.998756,0.999778,0.999689,0.998844,0.998667,1,0.999822,1,1,1,1,1,1,1,1,0.999911,0.999244,1,0.998844,1,1,1,0.998311]
area_under_roc_curve
0.9995384615384615 [1,0.998844,0.999956,0.999511,1,0.999956,1,1,1,0.999956,1,1,0.9992,0.999556,1,0.991378,1,1,0.999956,0.999689,1,1,1,1,1,1]
area_under_roc_curve
0.9992581196581196 [1,0.997867,1,0.999556,0.999511,0.998356,0.999956,1,1,0.995289,1,1,0.999556,0.998578,1,0.999778,1,1,0.998133,0.996356,1,0.997911,0.999956,1,1,0.999911]
area_under_roc_curve
0.9999589743589743 [1,0.999733,1,0.999911,1,1,0.999956,1,1,1,1,1,0.999956,0.999911,1,0.999644,1,1,1,0.999911,1,0.999956,1,0.999956,1,1]
area_under_roc_curve
0.999523076923077 [1,0.999289,1,0.999778,0.998578,0.999778,1,1,1,1,1,1,0.998267,0.995422,1,0.996978,0.999956,1,1,0.999867,0.999911,1,1,1,1,0.999778]
area_under_roc_curve
0.9996863620185638 [1,0.997508,0.999955,0.998709,0.999733,0.999911,0.997018,1,1,1,1,1,0.999954,0.999911,1,1,1,1,0.999955,0.999733,1,0.999866,1,1,1,0.999599]
area_under_roc_curve
0.9996743694202455 [1,0.998531,1,0.99951,1,0.999862,0.99595,1,1,1,1,1,0.999733,0.999822,1,0.999733,1,1,1,0.999644,1,0.999466,1,1,1,0.999288]
area_under_roc_curve
0.9996968783938419 [1,0.99911,1,1,0.999866,0.995264,1,1,1,1,1,1,0.999866,0.999955,1,0.999822,1,1,0.99911,1,1,0.999154,1,1,1,0.999822]
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
0.9717952317442801 [0.966667,1,0.95082,0.920635,0.947368,0.966667,0.983051,0.983051,1,1,0.983607,0.983607,0.983607,0.983051,0.983051,0.896552,1,1,0.983607,0.95082,1,0.933333,1,0.949153,1,0.918033]
f_measure
0.9780934561585688 [0.967742,0.949153,1,0.967742,0.952381,0.983607,0.967742,0.983051,0.983051,0.983607,0.983051,1,0.966667,0.966667,1,0.931034,1,0.983607,0.983051,0.983051,0.983051,0.928571,0.983607,1,1,1]
f_measure
0.9744485410808582 [0.983607,0.912281,0.983051,0.949153,0.95082,0.935484,0.983051,0.983051,1,0.983051,0.983051,1,1,1,1,0.920635,1,1,0.947368,0.949153,1,0.9375,0.967742,1,1,0.966667]
f_measure
0.975589012137216 [1,0.95082,0.966667,0.931034,1,0.966667,0.967742,1,1,0.983051,1,1,0.918033,0.915254,1,0.933333,1,1,0.966667,0.915254,1,0.983051,1,1,1,0.967742]
f_measure
0.9654408897436205 [1,0.892308,1,0.949153,0.95082,0.918033,0.983607,1,1,0.966667,0.983051,0.983051,0.935484,0.949153,0.983607,0.933333,1,1,0.931034,0.949153,1,0.877193,0.966667,1,1,0.949153]
f_measure
0.9846009748510183 [1,0.935484,1,0.967742,0.983051,0.965517,0.966667,1,1,1,1,1,0.965517,0.967742,1,0.947368,1,1,0.983607,0.983051,1,0.966667,1,0.983607,1,0.983607]
f_measure
0.9742573924544793 [0.966667,0.983051,0.983607,0.95082,0.912281,0.965517,1,0.983051,0.983607,1,0.983607,1,0.933333,0.933333,1,0.918033,0.983607,1,1,0.983607,0.983051,0.967742,0.983607,0.983607,0.983051,0.965517]
f_measure
0.976937641176908 [1,0.903226,0.983051,0.931034,0.95082,0.966667,0.949153,1,1,1,1,1,0.966667,0.965517,1,0.952381,1,1,0.966667,0.966667,1,0.947368,1,1,1,0.95082]
f_measure
0.9744147581532262 [1,0.885246,1,0.903226,0.967742,0.982456,0.949153,1,0.983051,1,1,1,0.983051,0.967742,1,0.918033,1,0.983607,1,0.965517,1,0.915254,0.983607,1,1,0.947368]
f_measure
0.9858086452135305 [1,0.931034,0.967742,1,0.983607,0.982456,0.983051,1,1,1,1,1,0.983051,0.983607,1,0.966667,1,1,0.983607,0.983607,1,0.933333,1,1,1,0.949153]
kappa
0.9706666666666667
kappa
0.9773333333333333
kappa
0.9733333333333333
kappa
0.9746666666666667
kappa
0.964
kappa
0.9840000000000001
kappa
0.9733333333333333
kappa
0.9759692340386151
kappa
0.9732990116521194
kappa
0.9853144564086657
kb_relative_information_score
749.7027433918179
kb_relative_information_score
752.3513467997617
kb_relative_information_score
750.6686174400497
kb_relative_information_score
753.9957863607701
kb_relative_information_score
746.8617493348497
kb_relative_information_score
757.4170129870637
kb_relative_information_score
748.8515501631814
kb_relative_information_score
752.6752110216812
kb_relative_information_score
751.348486966898
kb_relative_information_score
754.5156036185871
mean_absolute_error
0.006660417065377446
mean_absolute_error
0.005962128540751119
mean_absolute_error
0.006399164755015059
mean_absolute_error
0.0061811935618947475
mean_absolute_error
0.006740635969364664
mean_absolute_error
0.005765102260126322
mean_absolute_error
0.0065930082891166916
mean_absolute_error
0.005812023029860526
mean_absolute_error
0.006112897372547815
mean_absolute_error
0.005936993798605719
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
0.972488634835687 [0.966667,1,0.935484,0.878788,1,0.966667,1,1,1,1,0.967742,0.967742,0.967742,1,1,0.928571,1,1,0.967742,0.935484,1,0.933333,1,0.965517,1,0.903226]
precision
0.9790651900009519 [0.9375,0.965517,1,0.9375,0.909091,0.967742,0.9375,1,1,0.967742,1,1,0.966667,0.966667,1,0.964286,1,0.967742,1,1,1,1,0.967742,1,1,1]
precision
0.9757223361078544 [0.967742,0.962963,1,0.965517,0.935484,0.90625,1,1,1,1,1,1,1,1,1,0.878788,1,1,1,0.965517,1,0.882353,0.9375,1,1,0.966667]
precision
0.975899911175217 [1,0.935484,0.966667,0.964286,1,0.966667,0.9375,1,1,1,1,1,0.903226,0.931034,1,0.933333,1,1,0.966667,0.931034,1,1,1,1,1,0.9375]
precision
0.9664600865136184 [1,0.828571,1,0.965517,0.935484,0.903226,0.967742,1,1,0.966667,1,1,0.90625,0.965517,0.967742,0.933333,1,1,0.964286,0.965517,1,0.925926,0.966667,1,1,0.965517]
precision
0.9853003515301901 [1,0.90625,1,0.9375,1,1,0.966667,1,1,1,1,1,1,0.9375,1,1,1,1,0.967742,1,1,0.966667,1,0.967742,1,0.967742]
precision
0.9748730585424132 [0.966667,1,0.967742,0.935484,0.962963,1,1,1,0.967742,1,0.967742,1,0.933333,0.933333,1,0.903226,0.967742,1,1,0.967742,1,0.9375,0.967742,0.967742,1,1]
precision
0.9777597951974415 [1,0.875,1,0.964286,0.935484,0.966667,0.965517,1,1,1,1,1,0.935484,1,1,0.909091,1,1,0.966667,0.966667,1,1,1,1,1,0.935484]
precision
0.9752077975671156 [1,0.870968,1,0.875,0.9375,1,0.965517,1,1,1,1,1,1,0.9375,1,0.903226,1,0.967742,1,1,1,0.931034,0.967742,1,1,1]
precision
0.9860694748755008 [1,0.964286,0.9375,1,0.967742,1,1,1,1,1,1,1,1,0.967742,1,0.966667,1,1,0.967742,0.967742,1,0.933333,1,1,1,0.965517]
predictive_accuracy
0.9717948717948718
predictive_accuracy
0.9782051282051282
predictive_accuracy
0.9743589743589743
predictive_accuracy
0.9756410256410257
predictive_accuracy
0.9653846153846153
predictive_accuracy
0.9846153846153847
predictive_accuracy
0.9743589743589743
predictive_accuracy
0.9768934531450577
predictive_accuracy
0.9743260590500641
predictive_accuracy
0.9858793324775352
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
0.9717948717948718 [0.966667,1,0.966667,0.966667,0.9,0.966667,0.966667,0.966667,1,1,1,1,1,0.966667,0.966667,0.866667,1,1,1,0.966667,1,0.933333,1,0.933333,1,0.933333]
recall
0.9782051282051282 [1,0.933333,1,1,1,1,1,0.966667,0.966667,1,0.966667,1,0.966667,0.966667,1,0.9,1,1,0.966667,0.966667,0.966667,0.866667,1,1,1,1]
recall
0.9743589743589743 [1,0.866667,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,1,0.966667,0.966667,1,1,1,1,0.966667,1,1,0.9,0.933333,1,1,1,1,1,0.966667]
recall
0.9756410256410256 [1,0.966667,0.966667,0.9,1,0.966667,1,1,1,0.966667,1,1,0.933333,0.9,1,0.933333,1,1,0.966667,0.9,1,0.966667,1,1,1,1]
recall
0.9653846153846154 [1,0.966667,1,0.933333,0.966667,0.933333,1,1,1,0.966667,0.966667,0.966667,0.966667,0.933333,1,0.933333,1,1,0.9,0.933333,1,0.833333,0.966667,1,1,0.933333]
recall
0.9846153846153847 [1,0.966667,1,1,0.966667,0.933333,0.966667,1,1,1,1,1,0.933333,1,1,0.9,1,1,1,0.966667,1,0.966667,1,1,1,1]
recall
0.9743589743589743 [0.966667,0.966667,1,0.966667,0.866667,0.933333,1,0.966667,1,1,1,1,0.933333,0.933333,1,0.933333,1,1,1,1,0.966667,1,1,1,0.966667,0.933333]
recall
0.9768934531450578 [1,0.933333,0.966667,0.9,0.966667,0.966667,0.933333,1,1,1,1,1,1,0.933333,1,1,1,1,0.966667,0.966667,1,0.9,1,1,1,0.966667]
recall
0.9743260590500642 [1,0.9,1,0.933333,1,0.965517,0.933333,1,0.966667,1,1,1,0.966667,1,1,0.933333,1,1,1,0.933333,1,0.9,1,1,1,0.9]
recall
0.9858793324775353 [1,0.9,1,1,1,0.965517,0.966667,1,1,1,1,1,0.966667,1,1,0.966667,1,1,1,1,1,0.933333,1,1,1,0.933333]
relative_absolute_error
0.09004883872390251
relative_absolute_error
0.08060797787095465
relative_absolute_error
0.08651670748780306
relative_absolute_error
0.08356973695681649
relative_absolute_error
0.09113339830580972
relative_absolute_error
0.0779441825569074
relative_absolute_error
0.08913747206885712
relative_absolute_error
0.07857856322634761
relative_absolute_error
0.08264639905771766
relative_absolute_error
0.08026818197313443
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
0.04430810040526227
root_mean_squared_error
0.040940275863313925
root_mean_squared_error
0.04245516750539458
root_mean_squared_error
0.040376682596453724
root_mean_squared_error
0.04670489067797182
root_mean_squared_error
0.034913602631253746
root_mean_squared_error
0.04420776098291933
root_mean_squared_error
0.04032563513196384
root_mean_squared_error
0.03912547108732261
root_mean_squared_error
0.03756740905643362
root_relative_squared_error
0.23040211299659297
root_relative_squared_error
0.21288942607096428
root_relative_squared_error
0.22076686229828688
root_relative_squared_error
0.20995874119917904
root_relative_squared_error
0.24286542192184707
root_relative_squared_error
0.1815507265034748
root_relative_squared_error
0.22988034802104176
root_relative_squared_error
0.20969332605073698
root_relative_squared_error
0.20345250704371282
root_relative_squared_error
0.19535058219770896
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
166902.73428300009
usercpu_time_millis
146029.31254300007
usercpu_time_millis
166428.43818999996
usercpu_time_millis
165239.52845899988
usercpu_time_millis
144049.0059120002
usercpu_time_millis
163412.42073299986
usercpu_time_millis
145805.68088799986
usercpu_time_millis
146139.07334299982
usercpu_time_millis
142896.15288399978
usercpu_time_millis
144924.48445200012
usercpu_time_millis_testing
3538.402996000059
usercpu_time_millis_testing
4230.153117999976
usercpu_time_millis_testing
3570.726868999941
usercpu_time_millis_testing
3938.488993999954
usercpu_time_millis_testing
3560.352420000072
usercpu_time_millis_testing
3588.85149799994
usercpu_time_millis_testing
4351.092652000034
usercpu_time_millis_testing
3603.7092349999966
usercpu_time_millis_testing
3554.071156999953
usercpu_time_millis_testing
3564.6069970000553
usercpu_time_millis_training
163364.33128700004
usercpu_time_millis_training
141799.15942500008
usercpu_time_millis_training
162857.711321
usercpu_time_millis_training
161301.03946499992
usercpu_time_millis_training
140488.65349200013
usercpu_time_millis_training
159823.56923499992
usercpu_time_millis_training
141454.58823599984
usercpu_time_millis_training
142535.36410799983
usercpu_time_millis_training
139342.08172699984
usercpu_time_millis_training
141359.87745500007