10412658
1
Jan van Rijn
3481
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8250421
C
0.13596581269056157
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.395145144318553
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
64897
16360
shrinking
false
16360
tol
0.0012282787010128315
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
21747109
description
https://api.openml.org/data/download/21747109/description.xml
-1
21747110
predictions
https://api.openml.org/data/download/21747110/predictions.arff
area_under_roc_curve
0.5078698145925037 [0.505,0.51,0.516667,0.506667,0.505,0.5,0.505,0.51,0.51,0.503333,0.506667,0.508333,0.5,0.508333,0.508333,0.506667,0.508333,0.513333,0.506667,0.51,0.50787,0.51,0.515,0.506667,0.511667,0.505]
average_cost
0
kappa
0.015739629185007337
kb_relative_information_score
0.04221172963403008
mean_absolute_error
0.07279920284922935
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]
predictive_accuracy
0.05361036296011286
prior_entropy
4.700438279892712
recall
0.053610362960112866 [0.01,0.02,0.033333,0.013333,0.01,0,0.01,0.02,0.02,0.006667,0.013333,0.016667,0,0.016667,0.016667,0.013333,0.016667,0.026667,0.013333,0.02,1,0.02,0.03,0.013333,0.023333,0.01]
relative_absolute_error
0.9842453006209867
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.2698132740419369
root_relative_squared_error
1.4030290808679897
total_cost
0
area_under_roc_curve
0.5093333333333333 [0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.516667,0.516667,0.533333,0.516667,0.5,0.509333,0.516667,0.55,0.5,0.5,0.5]
area_under_roc_curve
0.5073333333333334 [0.5,0.5,0.533333,0.516667,0.5,0.5,0.533333,0.5,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.516667,0.5,0.5,0.5,0.5,0.507333,0.5,0.533333,0.5,0.516667,0.5]
area_under_roc_curve
0.51 [0.516667,0.516667,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.516667,0.516667,0.516667,0.5,0.5,0.516667,0.5,0.516667,0.516667,0.516667,0.5,0.51,0.516667,0.5,0.516667,0.516667,0.5]
area_under_roc_curve
0.5073333333333334 [0.5,0.516667,0.533333,0.5,0.533333,0.5,0.516667,0.516667,0.516667,0.5,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.516667,0.5,0.5,0.507333,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5086666666666666 [0.533333,0.516667,0.516667,0.516667,0.516667,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.516667,0.5,0.533333,0.508667,0.5,0.516667,0.5,0.5,0.5]
area_under_roc_curve
0.5066666666666666 [0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.55,0.5,0.5,0.533333,0.5,0.5,0.506667,0.5,0.5,0.516667,0.5,0.533333]
area_under_roc_curve
0.5033333333333334 [0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.503333,0.5,0.5,0.5,0.516667,0.5]
area_under_roc_curve
0.5060080106809078 [0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.506008,0.533333,0.5,0.516667,0.5,0.5]
area_under_roc_curve
0.5113484646194927 [0.5,0.5,0.55,0.5,0.5,0.5,0.5,0.516667,0.516667,0.5,0.5,0.533333,0.5,0.516667,0.516667,0.516667,0.533333,0.5,0.5,0.5,0.511348,0.516667,0.516667,0.5,0.55,0.5]
area_under_roc_curve
0.5086782376502003 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.516667,0.516667,0.566667,0.508678,0.516667,0.533333,0.516667,0.516667,0.516667]
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
kappa
0.018666666666666665
kappa
0.014666666666666665
kappa
0.02
kappa
0.014666666666666665
kappa
0.01733333333333333
kappa
0.013333333333333329
kappa
0.0066666666666666645
kappa
0.012016021361815754
kappa
0.022696929238985312
kappa
0.01735647530040053
kb_relative_information_score
0.0450450093967655
kb_relative_information_score
0.04115299153952546
kb_relative_information_score
0.04634234868251216
kb_relative_information_score
0.041152991539525494
kb_relative_information_score
0.043747670111018856
kb_relative_information_score
0.03985565225377884
kb_relative_information_score
0.033368955825046356
kb_relative_information_score
0.038623261659960446
kb_relative_information_score
0.04901532323430315
kb_relative_information_score
0.043819291667477875
mean_absolute_error
0.0725838264299815
mean_absolute_error
0.07287968441814718
mean_absolute_error
0.07248520710059293
mean_absolute_error
0.07287968441814718
mean_absolute_error
0.07268244575937007
mean_absolute_error
0.07297830374753575
mean_absolute_error
0.07347140039447857
mean_absolute_error
0.07307198578058778
mean_absolute_error
0.07228201836674357
mean_absolute_error
0.07267700207366568
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]
predictive_accuracy
0.05641025641025641
predictive_accuracy
0.052564102564102565
predictive_accuracy
0.05769230769230769
predictive_accuracy
0.052564102564102565
predictive_accuracy
0.05512820512820513
predictive_accuracy
0.05128205128205129
predictive_accuracy
0.04487179487179487
predictive_accuracy
0.05006418485237484
predictive_accuracy
0.06033376123234916
predictive_accuracy
0.055198973042362
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
0.05641025641025641 [0,0,0,0.033333,0,0,0,0.066667,0,0,0,0.066667,0,0,0,0.033333,0.033333,0.066667,0.033333,0,1,0.033333,0.1,0,0,0]
recall
0.052564102564102565 [0,0,0.066667,0.033333,0,0,0.066667,0,0.033333,0,0,0,0,0.033333,0,0.033333,0,0,0,0,1,0,0.066667,0,0.033333,0]
recall
0.057692307692307696 [0.033333,0.033333,0.033333,0.033333,0,0,0,0,0.033333,0.033333,0.033333,0.033333,0,0,0.033333,0,0.033333,0.033333,0.033333,0,1,0.033333,0,0.033333,0.033333,0]
recall
0.052564102564102565 [0,0.033333,0.066667,0,0.066667,0,0.033333,0.033333,0.033333,0,0,0,0,0.066667,0,0,0,0.033333,0,0,1,0,0,0,0,0]
recall
0.05512820512820513 [0.066667,0.033333,0.033333,0.033333,0.033333,0,0,0,0.066667,0,0,0,0,0,0,0,0.033333,0.033333,0,0.066667,1,0,0.033333,0,0,0]
recall
0.05128205128205128 [0,0.033333,0,0,0,0,0,0,0,0,0.033333,0,0,0,0.1,0,0,0.066667,0,0,1,0,0,0.033333,0,0.066667]
recall
0.04487179487179487 [0,0.033333,0,0,0,0,0,0.033333,0,0,0.033333,0,0,0,0,0,0,0,0.033333,0,1,0,0,0,0.033333,0]
recall
0.05006418485237484 [0,0.033333,0.033333,0,0,0,0,0.033333,0,0.033333,0.033333,0,0,0,0,0.033333,0,0,0,0,1,0.066667,0,0.033333,0,0]
recall
0.06033376123234917 [0,0,0.1,0,0,0,0,0.033333,0.033333,0,0,0.066667,0,0.033333,0.033333,0.033333,0.066667,0,0,0,1,0.033333,0.033333,0,0.1,0]
recall
0.055198973042362 [0,0,0,0,0,0,0,0,0,0,0,0,0,0.033333,0,0,0,0.033333,0.033333,0.133333,1,0.033333,0.066667,0.033333,0.033333,0.033333]
relative_absolute_error
0.9813333333333439
relative_absolute_error
0.9853333333333439
relative_absolute_error
0.9800000000000105
relative_absolute_error
0.9853333333333439
relative_absolute_error
0.9826666666666773
relative_absolute_error
0.9866666666666773
relative_absolute_error
0.9933333333333443
relative_absolute_error
0.9879333968971699
relative_absolute_error
0.9772532026241602
relative_absolute_error
0.9825933840592651
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
0.2694138571602832
root_mean_squared_error
0.2699623759306974
root_mean_squared_error
0.2692307692307715
root_mean_squared_error
0.2699623759306974
root_mean_squared_error
0.26959682075159946
root_mean_squared_error
0.2701449680218674
root_mean_squared_error
0.2710560834854635
root_mean_squared_error
0.27031830456073036
root_mean_squared_error
0.2688531539088645
root_mean_squared_error
0.2695867245872201
root_relative_squared_error
1.4009520018357489
root_relative_squared_error
1.4038042993291144
root_relative_squared_error
1.3999999446399352
root_relative_squared_error
1.4038042993291144
root_relative_squared_error
1.4019034124729717
root_relative_squared_error
1.4047537781656532
root_relative_squared_error
1.4094915783890067
root_relative_squared_error
1.4056553403372316
root_relative_squared_error
1.3980367946826107
root_relative_squared_error
1.4018513632860685
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
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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