10363650
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)
8219096
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
0.7589959989428396
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
5.643789449176531
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
57639
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
21649002
description
https://api.openml.org/data/download/21649002/description.xml
-1
21649003
predictions
https://api.openml.org/data/download/21649003/predictions.arff
area_under_roc_curve
0.5036014405762305 [0.506667,0.5,0.51,0.51,0.513333,0.5,0.5,0.5,0.5,0.52,0.5,0.5,0.5,0.5,0.5,0.506667,0.5,0.503333,0.51,0.503333,0.5,0.5,0.5,0.506667,0.5,0.503601]
average_cost
0
kappa
0.007202881152460983
kb_relative_information_score
0.03390555845532803
mean_absolute_error
0.07343060940599196
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
0.04540207772220085
prior_entropy
4.700438279892712
recall
0.04540207772220085 [0.013333,0,0.02,0.02,0.026667,0,0,0,0,0.04,0,0,0,0,0,0.013333,0,0.006667,0.02,0.006667,0,0,0,0.013333,0,1]
relative_absolute_error
0.9927819179457937
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.27098082848421573
root_relative_squared_error
1.4091003642095172
total_cost
0
area_under_roc_curve
0.5033333333333334 [0.5,0.5,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.503333]
area_under_roc_curve
0.5026666666666666 [0.5,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.502667]
area_under_roc_curve
0.5046666666666666 [0.516667,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.504667]
area_under_roc_curve
0.5026666666666666 [0.516667,0.5,0.516667,0.5,0.533333,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.502667]
area_under_roc_curve
0.504 [0.533333,0.5,0.516667,0.516667,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.504]
area_under_roc_curve
0.5033333333333334 [0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.503333]
area_under_roc_curve
0.5026666666666666 [0.5,0.5,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.502667]
area_under_roc_curve
0.5033377837116155 [0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.503338]
area_under_roc_curve
0.5060080106809078 [0.5,0.5,0.533333,0.516667,0.516667,0.5,0.5,0.5,0.5,0.55,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.506008]
area_under_roc_curve
0.5033377837116155 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.533333,0.516667,0.5,0.5,0.5,0.516667,0.5,0.503338]
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
0.0066666666666666645
kappa
0.005333333333333329
kappa
0.009333333333333329
kappa
0.005333333333333329
kappa
0.008
kappa
0.0066666666666666645
kappa
0.005333333333333329
kappa
0.006675567423230971
kappa
0.012016021361815754
kappa
0.006675567423230971
kb_relative_information_score
0.03336895582504552
kb_relative_information_score
0.032071616539299165
kb_relative_information_score
0.035963634396538435
kb_relative_information_score
0.03207161653930008
kb_relative_information_score
0.034666295110792
kb_relative_information_score
0.03336895582504552
kb_relative_information_score
0.03207161653929949
kb_relative_information_score
0.03342723692869876
kb_relative_information_score
0.03862326010065238
kb_relative_information_score
0.03342722853382754
mean_absolute_error
0.07347140039447857
mean_absolute_error
0.07357001972386713
mean_absolute_error
0.07327416173570145
mean_absolute_error
0.07357001972386713
mean_absolute_error
0.07337278106509001
mean_absolute_error
0.07347140039447857
mean_absolute_error
0.07357001972386713
mean_absolute_error
0.07346696948750989
mean_absolute_error
0.07307198578058778
mean_absolute_error
0.07346696948750989
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
0.04487179487179487
predictive_accuracy
0.04358974358974359
predictive_accuracy
0.047435897435897434
predictive_accuracy
0.04358974358974359
predictive_accuracy
0.04615384615384615
predictive_accuracy
0.04487179487179487
predictive_accuracy
0.04358974358974359
predictive_accuracy
0.04492939666238768
predictive_accuracy
0.05006418485237484
predictive_accuracy
0.04492939666238768
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
0.04487179487179487 [0,0,0,0.033333,0.033333,0,0,0,0,0.033333,0,0,0,0,0,0.033333,0,0,0.033333,0,0,0,0,0,0,1]
recall
0.04358974358974359 [0,0,0.033333,0.033333,0,0,0,0,0,0.033333,0,0,0,0,0,0.033333,0,0,0,0,0,0,0,0,0,1]
recall
0.047435897435897434 [0.033333,0,0.033333,0.033333,0,0,0,0,0,0.033333,0,0,0,0,0,0,0,0.033333,0.033333,0,0,0,0,0.033333,0,1]
recall
0.04358974358974359 [0.033333,0,0.033333,0,0.066667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.046153846153846156 [0.066667,0,0.033333,0.033333,0.033333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.033333,0,0,0,0,0,1]
recall
0.04487179487179487 [0,0,0,0,0.033333,0,0,0,0,0.066667,0,0,0,0,0,0,0,0.033333,0,0,0,0,0,0.033333,0,1]
recall
0.04358974358974359 [0,0,0,0.033333,0.033333,0,0,0,0,0.033333,0,0,0,0,0,0,0,0,0.033333,0,0,0,0,0,0,1]
recall
0.044929396662387676 [0,0,0,0,0.033333,0,0,0,0,0.066667,0,0,0,0,0,0.033333,0,0,0,0,0,0,0,0.033333,0,1]
recall
0.05006418485237484 [0,0,0.066667,0.033333,0.033333,0,0,0,0,0.1,0,0,0,0,0,0.033333,0,0,0.033333,0,0,0,0,0,0,1]
recall
0.044929396662387676 [0,0,0,0,0,0,0,0,0,0.033333,0,0,0,0,0,0,0,0,0.066667,0.033333,0,0,0,0.033333,0,1]
relative_absolute_error
0.9933333333333443
relative_absolute_error
0.9946666666666776
relative_absolute_error
0.9906666666666776
relative_absolute_error
0.9946666666666776
relative_absolute_error
0.992000000000011
relative_absolute_error
0.9933333333333443
relative_absolute_error
0.9946666666666776
relative_absolute_error
0.9932735774209384
relative_absolute_error
0.98793356549437
relative_absolute_error
0.9932737469294747
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
0.2710560834854635
root_mean_squared_error
0.271237939315036
root_mean_squared_error
0.2706920053043707
root_mean_squared_error
0.271237939315036
root_mean_squared_error
0.27087410556398706
root_mean_squared_error
0.2710560834854635
root_mean_squared_error
0.271237939315036
root_mean_squared_error
0.27104790994861017
root_mean_squared_error
0.27031830456073036
root_mean_squared_error
0.27104790994861017
root_relative_squared_error
1.4094915783890067
root_relative_squared_error
1.41043722866539
root_relative_squared_error
1.407598371922187
root_relative_squared_error
1.41043722866539
root_relative_squared_error
1.408545293234748
root_relative_squared_error
1.4094915783890067
root_relative_squared_error
1.41043722866539
root_relative_squared_error
1.4094492887769374
root_relative_squared_error
1.4056555802214106
root_relative_squared_error
1.4094495293085783
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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wall_clock_time_millis
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