10363907
8323
Heinrich Peters
3481
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8219352
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
6.298726358757933
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.7866942235746366
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0019226387218415771
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
41497
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
21649518
description
https://api.openml.org/data/download/21649518/description.xml
-1
21649519
predictions
https://api.openml.org/data/download/21649519/predictions.arff
area_under_roc_curve
0.986861740318068 [0.996267,0.966199,0.9946,0.9776,0.984133,0.984299,0.984667,0.991667,0.9932,0.993267,0.9966,0.9932,0.982011,0.9694,0.9982,0.970066,0.998267,0.999867,0.986333,0.9696,0.995,0.969266,0.998533,0.9932,0.993333,0.9796]
average_cost
0
f_measure
0.9748094558444881 [0.986755,0.916803,0.985075,0.959866,0.963576,0.969799,0.97651,0.991597,0.989967,0.991625,0.994992,0.989967,0.952224,0.954315,0.995008,0.932455,0.996667,0.996678,0.978224,0.959184,0.994975,0.951096,0.96463,0.989967,0.993289,0.969697]
kappa
0.9737232288358229
kb_relative_information_score
0.9744290414771157
mean_absolute_error
0.0019435483075344515
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
0.9751320623881806 [0.980263,0.897764,0.980198,0.963087,0.957237,0.969799,0.983108,1,0.993289,0.996633,0.996656,0.993289,0.938312,0.969072,0.993355,0.921824,0.996667,0.993377,0.983165,0.979167,1,0.962457,0.931677,0.993289,1,0.979592]
predictive_accuracy
0.9747338720020521
prior_entropy
4.700438279892712
recall
0.9747338720020521 [0.993333,0.936667,0.99,0.956667,0.97,0.969799,0.97,0.983333,0.986667,0.986667,0.993333,0.986667,0.966555,0.94,0.996667,0.943333,0.996667,1,0.973333,0.94,0.99,0.94,1,0.986667,0.986667,0.96]
relative_absolute_error
0.026276775202915652
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.04408569277593868
root_relative_squared_error
0.2292456115603859
total_cost
0
area_under_roc_curve
0.9840000000000003 [0.999333,0.998667,0.982,0.982,0.982667,0.999333,0.966667,0.983333,1,1,1,0.999333,0.998,0.95,0.983333,0.914667,1,1,0.999333,0.964667,1,0.966,0.999333,0.966667,0.983333,0.965333]
area_under_roc_curve
0.9873333333333333 [0.998667,0.980667,1,0.966,0.999333,1,1,0.983333,0.983333,0.999333,0.983333,0.983333,0.998667,0.966667,1,0.964667,1,0.999333,0.983333,0.95,0.983333,0.95,0.997333,1,1,1]
area_under_roc_curve
0.9873333333333335 [0.999333,0.949333,0.983333,0.966,0.982,0.982667,0.983333,0.983333,0.983333,0.983333,0.983333,0.983333,1,1,0.999333,0.998,1,0.999333,0.982667,0.966667,1,0.998,0.998,0.983333,1,0.982667]
area_under_roc_curve
0.9860000000000002 [1,0.98,0.999333,0.983333,1,0.999333,0.998667,0.983333,1,0.983333,1,1,0.980667,0.949333,1,0.948,0.983333,1,0.983333,0.933333,1,0.95,0.998667,0.999333,0.983333,0.999333]
area_under_roc_curve
0.9853333333333335 [0.999333,0.964,1,0.982,0.982,0.964667,0.982667,1,1,0.983333,1,0.983333,0.982,0.966,0.999333,0.982667,1,1,0.949333,0.966,1,0.966,0.999333,0.983333,1,0.983333]
area_under_roc_curve
0.992 [1,0.964,1,0.982667,0.983333,0.983333,1,1,1,1,1,0.983333,0.982,0.966,1,0.966,1,1,1,1,1,0.982667,0.999333,0.999333,1,1]
area_under_roc_curve
0.9846666666666669 [0.982667,0.982667,0.999333,0.983333,0.966,0.966,1,0.983333,0.999333,1,0.999333,1,0.932,0.964667,1,0.964,0.999333,1,0.982667,0.999333,0.966667,0.982667,0.998,1,0.983333,0.966667]
area_under_roc_curve
0.9873190921228305 [1,0.94733,0.983333,0.966667,0.964664,0.999332,0.965999,1,1,1,1,1,0.998,0.95,1,0.998665,1,1,0.983333,0.965999,1,0.965999,0.999332,1,1,0.981998]
area_under_roc_curve
0.9846470850022253 [1,0.94733,1,0.963996,0.999332,0.982092,0.965999,1,0.966667,0.983333,1,1,0.982666,0.981998,1,0.964664,1,1,1,0.95,1,0.965999,0.996662,1,1,0.95]
area_under_roc_curve
0.9899866488651534 [0.983333,0.947997,0.998665,1,0.981998,0.965517,0.983333,1,0.999332,1,1,0.999332,0.966667,0.999332,1,0.999332,1,1,0.999332,1,1,0.965332,0.999332,1,0.983333,0.966667]
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
0.9691001830758411 [0.983607,0.967742,0.95082,0.95082,0.966667,0.983607,0.965517,0.983051,1,1,1,0.983607,0.952381,0.947368,0.983051,0.862069,1,1,0.983607,0.918033,1,0.949153,0.983607,0.965517,0.983051,0.933333]
f_measure
0.9757762677393184 [0.967742,0.920635,1,0.949153,0.983607,1,1,0.983051,0.983051,0.983607,0.983051,0.983051,0.967742,0.965517,1,0.918033,1,0.983607,0.983051,0.947368,0.983051,0.947368,0.9375,1,1,1]
f_measure
0.9757266633683455 [0.983607,0.931034,0.983051,0.949153,0.95082,0.966667,0.983051,0.983051,0.983051,0.983051,0.983051,0.983051,1,1,0.983607,0.952381,1,0.983607,0.966667,0.965517,1,0.952381,0.952381,0.983051,1,0.966667]
f_measure
0.9731567091630503 [1,0.90625,0.983607,0.983051,1,0.983607,0.967742,0.983051,1,0.983051,1,1,0.920635,0.931034,1,0.9,0.983051,1,0.983051,0.928571,1,0.947368,0.967742,0.983607,0.983051,0.983607]
f_measure
0.9718679274962524 [0.983607,0.903226,1,0.95082,0.95082,0.918033,0.966667,1,1,0.983051,1,0.983051,0.95082,0.949153,0.983607,0.966667,1,1,0.931034,0.949153,1,0.949153,0.983607,0.983051,1,0.983051]
f_measure
0.9846942136072628 [1,0.903226,1,0.966667,0.983051,0.983051,1,1,1,1,1,0.983051,0.95082,0.949153,1,0.949153,1,1,1,1,1,0.966667,0.983607,0.983607,1,1]
f_measure
0.9705147243571124 [0.966667,0.966667,0.983607,0.983051,0.949153,0.949153,1,0.983051,0.983607,1,0.983607,1,0.896552,0.918033,1,0.903226,0.983607,1,0.966667,0.983607,0.965517,0.966667,0.952381,1,0.983051,0.965517]
f_measure
0.9756594638672527 [1,0.885246,0.983051,0.965517,0.918033,0.983607,0.949153,1,1,1,1,1,0.95082,0.947368,1,0.967742,1,1,0.983051,0.949153,1,0.949153,0.983607,1,1,0.95082]
f_measure
0.9706913092393822 [1,0.885246,1,0.903226,0.983607,0.965517,0.949153,1,0.965517,0.983051,1,1,0.966667,0.95082,1,0.918033,1,1,1,0.947368,1,0.949153,0.923077,1,1,0.947368]
f_measure
0.9807136393126448 [0.983051,0.9,0.967742,1,0.95082,0.964286,0.983051,1,0.983607,1,1,0.983607,0.965517,0.983607,1,0.983607,1,1,0.983607,1,1,0.933333,0.983607,1,0.983051,0.965517]
kappa
0.968
kappa
0.9746666666666667
kappa
0.9746666666666667
kappa
0.972
kappa
0.9706666666666667
kappa
0.9840000000000001
kappa
0.9693333333333334
kappa
0.974634234956804
kappa
0.9692939160239932
kappa
0.9799742244189356
kb_relative_information_score
0.9688638571420808
kb_relative_information_score
0.9753505535708139
kb_relative_information_score
0.9753480348601209
kb_relative_information_score
0.9727546178335567
kb_relative_information_score
0.9714522411264247
kb_relative_information_score
0.9844281526945836
kb_relative_information_score
0.9701511303433861
kb_relative_information_score
0.9753188825265071
kb_relative_information_score
0.9701190377578592
kb_relative_information_score
0.9805073201586134
mean_absolute_error
0.002366863905325443
mean_absolute_error
0.0018737672583826422
mean_absolute_error
0.0018737672583826422
mean_absolute_error
0.0020710059171597625
mean_absolute_error
0.0021696252465483227
mean_absolute_error
0.0011834319526627217
mean_absolute_error
0.002268244575936883
mean_absolute_error
0.0018761726078799243
mean_absolute_error
0.0022711563148020133
mean_absolute_error
0.001481188900957835
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
0.969918019966685 [0.967742,0.9375,0.935484,0.935484,0.966667,0.967742,1,1,1,1,1,0.967742,0.909091,1,1,0.892857,1,1,0.967742,0.903226,1,0.965517,0.967742,1,1,0.933333]
precision
0.977234987471034 [0.9375,0.878788,1,0.965517,0.967742,1,1,1,1,0.967742,1,1,0.9375,1,1,0.903226,1,0.967742,1,1,1,1,0.882353,1,1,1]
precision
0.9767609753983502 [0.967742,0.964286,1,0.965517,0.935484,0.966667,1,1,1,1,1,1,1,1,0.967742,0.909091,1,0.967742,0.966667,1,1,0.909091,0.909091,1,1,0.966667]
precision
0.9746916350569101 [1,0.852941,0.967742,1,1,0.967742,0.9375,1,1,1,1,1,0.878788,0.964286,1,0.9,1,1,1,1,1,1,0.9375,0.967742,1,0.967742]
precision
0.9723874614447473 [0.967742,0.875,1,0.935484,0.935484,0.903226,0.966667,1,1,1,1,1,0.935484,0.965517,0.967742,0.966667,1,1,0.964286,0.965517,1,0.965517,0.967742,1,1,1]
precision
0.9850129060779782 [1,0.875,1,0.966667,1,1,1,1,1,1,1,1,0.935484,0.965517,1,0.965517,1,1,1,1,1,0.966667,0.967742,0.967742,1,1]
precision
0.971242268113792 [0.966667,0.966667,0.967742,1,0.965517,0.965517,1,1,0.967742,1,0.967742,1,0.928571,0.903226,1,0.875,0.967742,1,0.966667,0.967742,1,0.966667,0.909091,1,1,1]
precision
0.976453967180764 [1,0.870968,1,1,0.903226,0.967742,0.965517,1,1,1,1,1,0.90625,1,1,0.9375,1,1,1,0.965517,1,0.965517,0.967742,1,1,0.935484]
precision
0.9720383836228569 [1,0.870968,1,0.875,0.967742,0.965517,0.965517,1,1,1,1,1,0.966667,0.935484,1,0.903226,1,1,1,1,1,0.965517,0.857143,1,1,1]
precision
0.9812362830759036 [1,0.9,0.9375,1,0.935484,1,1,1,0.967742,1,1,0.967742,1,0.967742,1,0.967742,1,1,0.967742,1,1,0.933333,0.967742,1,1,1]
predictive_accuracy
0.9692307692307692
predictive_accuracy
0.9756410256410257
predictive_accuracy
0.9756410256410257
predictive_accuracy
0.9730769230769231
predictive_accuracy
0.9717948717948718
predictive_accuracy
0.9846153846153847
predictive_accuracy
0.9705128205128206
predictive_accuracy
0.975609756097561
predictive_accuracy
0.9704749679075738
predictive_accuracy
0.9807445442875482
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
0.9692307692307692 [1,1,0.966667,0.966667,0.966667,1,0.933333,0.966667,1,1,1,1,1,0.9,0.966667,0.833333,1,1,1,0.933333,1,0.933333,1,0.933333,0.966667,0.933333]
recall
0.9756410256410256 [1,0.966667,1,0.933333,1,1,1,0.966667,0.966667,1,0.966667,0.966667,1,0.933333,1,0.933333,1,1,0.966667,0.9,0.966667,0.9,1,1,1,1]
recall
0.9756410256410256 [1,0.9,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,1,1,1,1,1,1,0.966667,0.933333,1,1,1,0.966667,1,0.966667]
recall
0.9730769230769231 [1,0.966667,1,0.966667,1,1,1,0.966667,1,0.966667,1,1,0.966667,0.9,1,0.9,0.966667,1,0.966667,0.866667,1,0.9,1,1,0.966667,1]
recall
0.9717948717948718 [1,0.933333,1,0.966667,0.966667,0.933333,0.966667,1,1,0.966667,1,0.966667,0.966667,0.933333,1,0.966667,1,1,0.9,0.933333,1,0.933333,1,0.966667,1,0.966667]
recall
0.9846153846153847 [1,0.933333,1,0.966667,0.966667,0.966667,1,1,1,1,1,0.966667,0.966667,0.933333,1,0.933333,1,1,1,1,1,0.966667,1,1,1,1]
recall
0.9705128205128205 [0.966667,0.966667,1,0.966667,0.933333,0.933333,1,0.966667,1,1,1,1,0.866667,0.933333,1,0.933333,1,1,0.966667,1,0.933333,0.966667,1,1,0.966667,0.933333]
recall
0.975609756097561 [1,0.9,0.966667,0.933333,0.933333,1,0.933333,1,1,1,1,1,1,0.9,1,1,1,1,0.966667,0.933333,1,0.933333,1,1,1,0.966667]
recall
0.9704749679075738 [1,0.9,1,0.933333,1,0.965517,0.933333,1,0.933333,0.966667,1,1,0.966667,0.966667,1,0.933333,1,1,1,0.9,1,0.933333,1,1,1,0.9]
recall
0.9807445442875481 [0.966667,0.9,1,1,0.966667,0.931034,0.966667,1,1,1,1,1,0.933333,1,1,1,1,1,1,1,1,0.933333,1,1,0.966667,0.933333]
relative_absolute_error
0.03199999999999979
relative_absolute_error
0.025333333333333173
relative_absolute_error
0.025333333333333173
relative_absolute_error
0.02799999999999982
relative_absolute_error
0.029333333333333145
relative_absolute_error
0.0159999999999999
relative_absolute_error
0.030666666666666467
relative_absolute_error
0.02536585748789987
relative_absolute_error
0.030706043251851507
relative_absolute_error
0.020025680381642288
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
0.04865042554105198
root_mean_squared_error
0.043287033374702896
root_mean_squared_error
0.043287033374702896
root_mean_squared_error
0.04550830602384319
root_mean_squared_error
0.04657923621688448
root_mean_squared_error
0.03440104580768907
root_mean_squared_error
0.04762609133591463
root_mean_squared_error
0.04331480818242099
root_mean_squared_error
0.04765665026837297
root_mean_squared_error
0.038486217025811134
root_relative_squared_error
0.2529822028098169
root_relative_squared_error
0.22509256464763927
root_relative_squared_error
0.22509256464763927
root_relative_squared_error
0.2366431819664237
root_relative_squared_error
0.24221201875003037
root_relative_squared_error
0.178885431126332
root_relative_squared_error
0.24765566515372955
root_relative_squared_error
0.2252370276450301
root_relative_squared_error
0.24781465129879426
root_relative_squared_error
0.20012838498618885
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
28526.306853978895
usercpu_time_millis
28336.411152995424
usercpu_time_millis
28200.314062007237
usercpu_time_millis
24549.16856298223
usercpu_time_millis
27982.77340302593
usercpu_time_millis
24650.160833989503
usercpu_time_millis
27690.454656025395
usercpu_time_millis
27752.007254981436
usercpu_time_millis
27775.296947016614
usercpu_time_millis
27761.518843006343
usercpu_time_millis_testing
4827.63531699311
usercpu_time_millis_testing
4711.633291997714
usercpu_time_millis_testing
4680.11743700481
usercpu_time_millis_testing
3405.968952982221
usercpu_time_millis_testing
4701.950212009251
usercpu_time_millis_testing
3442.8761650051456
usercpu_time_millis_testing
4630.222986015724
usercpu_time_millis_testing
4641.951988975052
usercpu_time_millis_testing
4624.656293017324
usercpu_time_millis_testing
4642.075809009839
usercpu_time_millis_training
23698.671536985785
usercpu_time_millis_training
23624.77786099771
usercpu_time_millis_training
23520.196625002427
usercpu_time_millis_training
21143.19961000001
usercpu_time_millis_training
23280.82319101668
usercpu_time_millis_training
21207.284668984357
usercpu_time_millis_training
23060.23167000967
usercpu_time_millis_training
23110.055266006384
usercpu_time_millis_training
23150.64065399929
usercpu_time_millis_training
23119.443033996504
wall_clock_time_millis
28550.39668083191
wall_clock_time_millis
28351.579904556274
wall_clock_time_millis
28215.431928634644
wall_clock_time_millis
24553.932666778564
wall_clock_time_millis
27983.272314071655
wall_clock_time_millis
24658.490896224976
wall_clock_time_millis
27690.950632095337
wall_clock_time_millis
27752.49671936035
wall_clock_time_millis
27776.05366706848
wall_clock_time_millis
27762.001514434814
wall_clock_time_millis_testing
4830.95383644104
wall_clock_time_millis_testing
4714.432239532471
wall_clock_time_millis_testing
4682.9845905303955
wall_clock_time_millis_testing
3406.0637950897217
wall_clock_time_millis_testing
4702.030181884766
wall_clock_time_millis_testing
3443.9642429351807
wall_clock_time_millis_testing
4630.303621292114
wall_clock_time_millis_testing
4642.030715942383
wall_clock_time_millis_testing
4625.009298324585
wall_clock_time_millis_testing
4642.158508300781
wall_clock_time_millis_training
23719.44284439087
wall_clock_time_millis_training
23637.147665023804
wall_clock_time_millis_training
23532.447338104248
wall_clock_time_millis_training
21147.868871688843
wall_clock_time_millis_training
23281.24213218689
wall_clock_time_millis_training
21214.526653289795
wall_clock_time_millis_training
23060.647010803223
wall_clock_time_millis_training
23110.46600341797
wall_clock_time_millis_training
23151.044368743896
wall_clock_time_millis_training
23119.843006134033