6062100
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)
4096634
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
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
0.608456664032067
6953
cache_size
200
6953
class_weight
null
6953
coef0
-0.6734767519138918
6953
decision_function_shape
null
6953
degree
2
6953
gamma
0.1165142478957011
6953
kernel
"poly"
6953
max_iter
-1
6953
probability
true
6953
random_state
939
6953
shrinking
false
6953
tol
0.0005998362537777304
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
13047602
description
https://api.openml.org/data/download/13047602/description.xml
-1
13047603
predictions
https://api.openml.org/data/download/13047603/predictions.arff
area_under_roc_curve
0.9995835440358534 [0.999907,0.99886,0.999957,0.99941,0.99968,0.999514,0.998952,0.999884,0.999988,0.99933,0.999537,1,0.999506,0.998667,0.999999,0.998245,0.999992,0.999985,0.999699,0.999207,0.999993,0.99923,0.999996,0.999976,1,0.999659]
average_cost
0
f_measure
0.975258503866265 [0.988391,0.932455,0.983389,0.950166,0.961857,0.958264,0.966667,0.991597,0.994992,0.991653,0.991653,0.996667,0.951907,0.951424,0.996667,0.940199,0.998336,0.996678,0.968174,0.961474,0.994992,0.940778,0.996667,0.991681,0.998331,0.961474]
kappa
0.9742567682174061
kb_relative_information_score
7514.602899208199
mean_absolute_error
0.006305934972423897
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
0.9753246602960167 [0.983498,0.921824,0.980132,0.94702,0.957096,0.953488,0.966667,1,0.996656,0.993311,0.993311,0.996667,0.944079,0.956229,0.996667,0.937086,0.996678,0.993377,0.973064,0.96633,0.996656,0.955326,0.996667,0.990033,1,0.96633]
predictive_accuracy
0.9752468898294215
prior_entropy
4.700438289429255
recall
0.9752468898294215 [0.993333,0.943333,0.986667,0.953333,0.966667,0.963087,0.966667,0.983333,0.993333,0.99,0.99,0.996667,0.959866,0.946667,0.996667,0.943333,1,1,0.963333,0.956667,0.993333,0.926667,0.996667,0.993333,0.996667,0.956667]
relative_absolute_error
0.08525624759221459
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.04150243741745305
root_relative_squared_error
0.21581268316154045
total_cost
0
area_under_roc_curve
0.9998085470085468 [0.999822,1,0.999867,0.999733,0.999911,0.999867,1,1,1,1,1,1,0.999467,0.999378,1,0.998622,0.999911,1,0.999956,0.999467,0.999956,0.9996,1,0.999733,1,0.999733]
area_under_roc_curve
0.9995042735042735 [0.999867,0.999067,1,0.999511,0.999822,1,1,1,0.999911,0.9992,0.996133,1,0.999422,0.9988,1,0.997689,1,0.999733,1,0.999644,1,0.998311,1,1,1,1]
area_under_roc_curve
0.9996683760683761 [0.999511,0.999422,0.999956,0.998533,0.999644,0.999644,0.999244,0.998711,1,0.999822,1,1,1,1,1,1,1,1,0.999867,0.999244,1,0.9988,1,1,1,0.998978]
area_under_roc_curve
0.9994769230769232 [1,0.998667,0.999956,0.999467,1,0.999911,1,1,1,1,1,1,0.999111,0.999556,1,0.990133,1,1,0.999911,0.999689,1,1,1,1,1,1]
area_under_roc_curve
0.9991863247863249 [1,0.997822,1,0.999378,0.999467,0.9984,0.999956,1,1,0.994667,1,1,0.999467,0.998533,1,0.999778,1,1,0.998222,0.995422,1,0.997867,0.999956,1,1,0.999911]
area_under_roc_curve
0.999957264957265 [1,0.999733,1,0.999956,1,1,0.999956,1,1,1,1,1,0.999956,0.999911,1,0.999467,1,1,1,0.999911,1,1,1,1,1,1]
area_under_roc_curve
0.9993504273504275 [1,0.999022,1,0.999822,0.998667,0.999778,1,1,1,1,1,1,0.998222,0.990889,1,0.997289,0.999911,1,1,0.999822,0.999911,1,1,1,1,0.999778]
area_under_roc_curve
0.9996726532538323 [1,0.997374,0.999955,0.998843,0.999644,0.999822,0.997063,1,1,1,1,1,0.999908,0.999822,1,1,1,1,0.999822,0.999866,1,0.999866,1,1,1,0.99951]
area_under_roc_curve
0.999650370512559 [1,0.99862,1,0.99951,1,0.999954,0.995149,1,1,1,1,1,0.999777,0.999822,1,0.999911,1,1,1,0.999466,1,0.999466,1,1,1,0.999243]
area_under_roc_curve
0.99978588824466 [1,0.999288,1,1,0.999866,0.997517,0.999866,1,1,1,1,1,0.999866,0.999911,1,0.999866,1,1,0.999199,1,1,0.99911,1,1,1,0.999866]
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
0.9730643767696455 [0.966667,1,0.95082,0.935484,0.965517,0.966667,0.983051,0.983051,1,1,0.983607,0.983607,0.983607,0.983051,0.983051,0.896552,1,1,0.983607,0.95082,1,0.933333,1,0.949153,1,0.918033]
f_measure
0.9768100144526084 [0.967742,0.915254,1,0.967742,0.952381,0.967742,0.967742,0.983051,0.983051,0.983607,0.983051,1,0.966667,0.966667,1,0.931034,1,0.983607,0.983051,0.983051,0.983051,0.928571,1,1,1,1]
f_measure
0.9731114271274063 [0.983607,0.912281,0.983051,0.931034,0.95082,0.952381,0.966667,0.983051,1,0.983051,0.983051,1,0.967742,0.949153,1,0.952381,1,1,0.947368,0.965517,1,0.923077,1,1,1,0.966667]
f_measure
0.9755585746564903 [1,0.967742,0.983607,0.947368,1,0.966667,0.967742,0.983051,1,0.983051,1,1,0.903226,0.896552,1,0.933333,1,1,0.966667,0.915254,1,0.983051,1,0.983607,1,0.983607]
f_measure
0.9642752761980916 [1,0.892308,1,0.949153,0.95082,0.918033,0.966667,1,1,0.966667,0.983051,0.983051,0.918033,0.933333,0.983607,0.933333,1,1,0.931034,0.933333,1,0.896552,0.966667,1,1,0.965517]
f_measure
0.9846189551498112 [1,0.952381,0.983051,0.967742,0.983051,0.965517,0.966667,1,1,1,1,1,0.965517,0.967742,1,0.947368,1,1,0.983607,0.983051,1,0.983051,1,0.983607,1,0.967742]
f_measure
0.9729967514816577 [0.966667,0.983051,0.983607,0.95082,0.912281,0.966667,1,0.983051,0.983607,1,0.983607,1,0.918033,0.915254,1,0.918033,0.983607,1,0.983051,0.983607,0.966667,0.967742,1,1,0.983051,0.965517]
f_measure
0.9730199293906068 [1,0.903226,0.983051,0.949153,0.95082,0.933333,0.915254,1,1,1,1,1,0.966667,0.965517,1,0.967742,1,1,0.933333,0.95082,1,0.928571,1,1,1,0.95082]
f_measure
0.9756868635536449 [1,0.870968,1,0.903226,0.967742,0.983051,0.949153,1,0.983051,1,1,1,0.983051,0.983607,1,0.935484,1,0.983607,1,0.965517,1,0.912281,1,1,1,0.947368]
f_measure
0.9832147251492089 [1,0.931034,0.967742,1,0.983607,0.964286,0.983051,1,1,1,1,1,0.949153,0.95082,1,0.983607,1,1,0.967742,0.983607,1,0.949153,1,1,1,0.949153]
kappa
0.972
kappa
0.976
kappa
0.972
kappa
0.9746666666666667
kappa
0.9626666666666667
kappa
0.9840000000000001
kappa
0.972
kappa
0.9719641063783844
kappa
0.9746341480134567
kappa
0.9826443278297441
kb_relative_information_score
749.6787690550041
kb_relative_information_score
752.0536252817972
kb_relative_information_score
750.4192724031459
kb_relative_information_score
753.5263928738162
kb_relative_information_score
746.6967522202656
kb_relative_information_score
756.8869245938071
kb_relative_information_score
748.2487951066148
kb_relative_information_score
751.5744695600977
kb_relative_information_score
751.407921262039
kb_relative_information_score
754.1099768515871
mean_absolute_error
0.006660665271447946
mean_absolute_error
0.005996322085347172
mean_absolute_error
0.006507430335461495
mean_absolute_error
0.006245962327600839
mean_absolute_error
0.006748290222830036
mean_absolute_error
0.005892577530796427
mean_absolute_error
0.006685808354529297
mean_absolute_error
0.006083286865837505
mean_absolute_error
0.006217638563962407
mean_absolute_error
0.006020603710301477
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
0.9735448702669223 [0.966667,1,0.935484,0.90625,1,0.966667,1,1,1,1,0.967742,0.967742,0.967742,1,1,0.928571,1,1,0.967742,0.935484,1,0.933333,1,0.965517,1,0.903226]
precision
0.9778164734783199 [0.9375,0.931034,1,0.9375,0.909091,0.9375,0.9375,1,1,0.967742,1,1,0.966667,0.966667,1,0.964286,1,0.967742,1,1,1,1,1,1,1,1]
precision
0.9746980666822157 [0.967742,0.962963,1,0.964286,0.935484,0.909091,0.966667,1,1,1,1,1,0.9375,0.965517,1,0.909091,1,1,1,1,1,0.857143,1,1,1,0.966667]
precision
0.9761345532480126 [1,0.9375,0.967742,1,1,0.966667,0.9375,1,1,1,1,1,0.875,0.928571,1,0.933333,1,1,0.966667,0.931034,1,1,1,0.967742,1,0.967742]
precision
0.9652547396985662 [1,0.828571,1,0.965517,0.935484,0.903226,0.966667,1,1,0.966667,1,1,0.903226,0.933333,0.967742,0.933333,1,1,0.964286,0.933333,1,0.928571,0.966667,1,1,1]
precision
0.9855285171817428 [1,0.909091,1,0.9375,1,1,0.966667,1,1,1,1,1,1,0.9375,1,1,1,1,0.967742,1,1,1,1,0.967742,1,0.9375]
precision
0.9735439464235348 [0.966667,1,0.967742,0.935484,0.962963,0.966667,1,1,0.967742,1,0.967742,1,0.903226,0.931034,1,0.903226,0.967742,1,1,0.967742,0.966667,0.9375,1,1,1,1]
precision
0.973805047970859 [1,0.875,1,0.965517,0.935484,0.933333,0.931034,1,1,1,1,1,0.935484,1,1,0.9375,1,1,0.933333,0.935484,1,1,1,1,1,0.935484]
precision
0.9766717016593501 [1,0.84375,1,0.875,0.9375,0.966667,0.965517,1,1,1,1,1,1,0.967742,1,0.90625,1,0.967742,1,1,1,0.962963,1,1,1,1]
precision
0.98361542166276 [1,0.964286,0.9375,1,0.967742,1,1,1,1,1,1,1,0.965517,0.935484,1,0.967742,1,1,0.9375,0.967742,1,0.965517,1,1,1,0.965517]
predictive_accuracy
0.9730769230769231
predictive_accuracy
0.9769230769230769
predictive_accuracy
0.9730769230769231
predictive_accuracy
0.9756410256410257
predictive_accuracy
0.9641025641025641
predictive_accuracy
0.9846153846153847
predictive_accuracy
0.9730769230769231
predictive_accuracy
0.9730423620025674
predictive_accuracy
0.975609756097561
predictive_accuracy
0.9833119383825416
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
0.9730769230769231 [0.966667,1,0.966667,0.966667,0.933333,0.966667,0.966667,0.966667,1,1,1,1,1,0.966667,0.966667,0.866667,1,1,1,0.966667,1,0.933333,1,0.933333,1,0.933333]
recall
0.9769230769230769 [1,0.9,1,1,1,1,1,0.966667,0.966667,1,0.966667,1,0.966667,0.966667,1,0.9,1,1,0.966667,0.966667,0.966667,0.866667,1,1,1,1]
recall
0.9730769230769231 [1,0.866667,0.966667,0.9,0.966667,1,0.966667,0.966667,1,0.966667,0.966667,1,1,0.933333,1,1,1,1,0.9,0.933333,1,1,1,1,1,0.966667]
recall
0.9756410256410256 [1,1,1,0.9,1,0.966667,1,0.966667,1,0.966667,1,1,0.933333,0.866667,1,0.933333,1,1,0.966667,0.9,1,0.966667,1,1,1,1]
recall
0.9641025641025641 [1,0.966667,1,0.933333,0.966667,0.933333,0.966667,1,1,0.966667,0.966667,0.966667,0.933333,0.933333,1,0.933333,1,1,0.9,0.933333,1,0.866667,0.966667,1,1,0.933333]
recall
0.9846153846153847 [1,1,0.966667,1,0.966667,0.933333,0.966667,1,1,1,1,1,0.933333,1,1,0.9,1,1,1,0.966667,1,0.966667,1,1,1,1]
recall
0.9730769230769231 [0.966667,0.966667,1,0.966667,0.866667,0.966667,1,0.966667,1,1,1,1,0.933333,0.9,1,0.933333,1,1,0.966667,1,0.966667,1,1,1,0.966667,0.933333]
recall
0.9730423620025674 [1,0.933333,0.966667,0.933333,0.966667,0.933333,0.9,1,1,1,1,1,1,0.933333,1,1,1,1,0.933333,0.966667,1,0.866667,1,1,1,0.966667]
recall
0.975609756097561 [1,0.9,1,0.933333,1,1,0.933333,1,0.966667,1,1,1,0.966667,1,1,0.966667,1,1,1,0.933333,1,0.866667,1,1,1,0.9]
recall
0.9833119383825417 [1,0.9,1,1,1,0.931034,0.966667,1,1,1,1,1,0.933333,0.966667,1,1,1,1,1,1,1,0.933333,1,1,1,0.933333]
relative_absolute_error
0.0900521944699757
relative_absolute_error
0.08107027459389327
relative_absolute_error
0.08798045813543888
relative_absolute_error
0.08444541066916283
relative_absolute_error
0.09123688381266153
relative_absolute_error
0.07966764821636721
relative_absolute_error
0.09039212895323555
relative_absolute_error
0.0822460508424196
relative_absolute_error
0.08406250042109181
relative_absolute_error
0.08139858834282424
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
0.04401144774009182
root_mean_squared_error
0.04113284890531892
root_mean_squared_error
0.04267281478315664
root_mean_squared_error
0.04077624495495063
root_mean_squared_error
0.04707578663379478
root_mean_squared_error
0.0350196539613337
root_mean_squared_error
0.04470136285715412
root_mean_squared_error
0.041335755276706354
root_mean_squared_error
0.03882807867679262
root_mean_squared_error
0.03813547043046628
root_relative_squared_error
0.2288595191987053
root_relative_squared_error
0.21389080584979275
root_relative_squared_error
0.22189862809789626
root_relative_squared_error
0.21203646538120366
root_relative_squared_error
0.24479408081586168
root_relative_squared_error
0.18210219339808392
root_relative_squared_error
0.23244707766556677
root_relative_squared_error
0.21494595138865802
root_relative_squared_error
0.20190606607273867
root_relative_squared_error
0.19830450217591694
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
92577.66553500001
usercpu_time_millis
93538.564042
usercpu_time_millis
92709.85680299997
usercpu_time_millis
93654.61748400003
usercpu_time_millis
89443.45831999999
usercpu_time_millis
89117.4650380001
usercpu_time_millis
89960.66919299995
usercpu_time_millis
94453.568624
usercpu_time_millis
88815.73729199999
usercpu_time_millis
93608.5550140001
usercpu_time_millis_testing
3907.7657740000122
usercpu_time_millis_testing
4371.868554999992
usercpu_time_millis_testing
3951.7391529999486
usercpu_time_millis_testing
3978.218835000007
usercpu_time_millis_testing
3904.410891999987
usercpu_time_millis_testing
3915.0771360000363
usercpu_time_millis_testing
4038.039851999997
usercpu_time_millis_testing
3949.585819000049
usercpu_time_millis_testing
3897.232056000007
usercpu_time_millis_testing
3960.454690000006
usercpu_time_millis_training
88669.899761
usercpu_time_millis_training
89166.695487
usercpu_time_millis_training
88758.11765000003
usercpu_time_millis_training
89676.39864900002
usercpu_time_millis_training
85539.047428
usercpu_time_millis_training
85202.38790200006
usercpu_time_millis_training
85922.62934099995
usercpu_time_millis_training
90503.98280499996
usercpu_time_millis_training
84918.50523599998
usercpu_time_millis_training
89648.1003240001