6041713
1
Jan van Rijn
3950
Supervised Classification
predictive_accuracy
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)
4076393
axis
0
6947
categorical_features
[0]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0]
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
922.5515261568601
6953
cache_size
200
6953
class_weight
null
6953
coef0
-0.9715110766061275
6953
decision_function_shape
null
6953
degree
5
6953
gamma
0.0001824709264099409
6953
kernel
"poly"
6953
max_iter
-1
6953
probability
true
6953
random_state
10450
6953
shrinking
true
6953
tol
0.0015793515062219135
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1116
musk
https://www.openml.org/data/download/53999/musk.arff
-1
13006453
description
https://api.openml.org/data/download/13006453/description.xml
-1
13006454
predictions
https://api.openml.org/data/download/13006454/predictions.arff
area_under_roc_curve
0.9999166648607783 [0.999917,0.999917]
average_cost
0
f_measure
0.9975750227341619 [0.998567,0.992134]
kappa
0.9907002917786979
kb_relative_information_score
6418.96553564603
mean_absolute_error
0.008356098768532296
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9975750227341619 [0.998567,0.992134]
predictive_accuracy
0.997575022734162
prior_entropy
0.6203559250859288
recall
0.9975750227341619 [0.998567,0.992134]
relative_absolute_error
0.032036457564750445
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.046470165681825215
root_relative_squared_error
0.12869747494154532
total_cost
0
area_under_roc_curve
0.9999468640960696 [0.999947,0.999947]
area_under_roc_curve
0.9999121512404247 [0.999912,0.999912]
area_under_roc_curve
0.9999297209923396 [0.99993,0.99993]
area_under_roc_curve
0.9995431864502072 [0.999543,0.999543]
area_under_roc_curve
0.9999472907442547 [0.999947,0.999947]
area_under_roc_curve
0.9999824302480849 [0.999982,0.999982]
area_under_roc_curve
0.9998770117365942 [0.999877,0.999877]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9999467688704353 [0.999947,0.999947]
area_under_roc_curve
1 [1,1]
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
0.9984879021615353 [0.999105,0.995074]
f_measure
0.9969574059373737 [0.998211,0.990099]
f_measure
0.9954635936086225 [0.997309,0.985366]
f_measure
0.9939393939393939 [0.996416,0.980392]
f_measure
0.9984817948081617 [0.999105,0.995074]
f_measure
0.9984878645362075 [0.999103,0.995122]
f_measure
0.9984817948081617 [0.999105,0.995074]
f_measure
0.9984817948081617 [0.999105,0.995074]
f_measure
0.9984856064092471 [0.999103,0.995074]
f_measure
0.9984856064092471 [0.999103,0.995074]
kappa
0.9941786621507199
kappa
0.9883103081827842
kappa
0.9826753464930702
kappa
0.9768079274720639
kappa
0.9941786621507199
kappa
0.9942251154976902
kappa
0.9941786621507199
kappa
0.9941786621507199
kappa
0.9941770563650341
kappa
0.9941770563650341
kb_relative_information_score
646.0120901522776
kb_relative_information_score
632.7338944112925
kb_relative_information_score
640.0430847683028
kb_relative_information_score
633.2848882431534
kb_relative_information_score
645.7674927770023
kb_relative_information_score
643.4051228041271
kb_relative_information_score
638.6359611860673
kb_relative_information_score
650.1090920870257
kb_relative_information_score
643.1075786825232
kb_relative_information_score
645.8663305342718
mean_absolute_error
0.005222131070870153
mean_absolute_error
0.013622076979033277
mean_absolute_error
0.009535098929840008
mean_absolute_error
0.012784080234119654
mean_absolute_error
0.007606248326742899
mean_absolute_error
0.008500417410168324
mean_absolute_error
0.009323324443237135
mean_absolute_error
0.005496666664216245
mean_absolute_error
0.006154425919000672
mean_absolute_error
0.005308564363769207
mean_prior_absolute_error
0.2600651974288342
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.2602257782682673
mean_prior_absolute_error
0.2602257782682673
number_of_instances
660 [559,101]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
659 [558,101]
number_of_instances
659 [558,101]
precision
0.9984997029114676 [1,0.990196]
precision
0.9969805194805195 [0.996429,1]
precision
0.9954812456721086 [0.998205,0.980583]
precision
0.9939393939393939 [0.996416,0.980392]
precision
0.9984875589526753 [0.998211,1]
precision
0.9984995586937335 [1,0.990291]
precision
0.9984875589526753 [0.998211,1]
precision
0.9984875589526753 [0.998211,1]
precision
0.9984974262846261 [1,0.990196]
precision
0.9984974262846261 [1,0.990196]
predictive_accuracy
0.9984848484848484
predictive_accuracy
0.9969696969696971
predictive_accuracy
0.9954545454545455
predictive_accuracy
0.9939393939393939
predictive_accuracy
0.9984848484848484
predictive_accuracy
0.9984848484848484
predictive_accuracy
0.9984848484848484
predictive_accuracy
0.9984848484848484
predictive_accuracy
0.9984825493171472
predictive_accuracy
0.9984825493171472
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
recall
0.9984848484848485 [0.998211,1]
recall
0.996969696969697 [1,0.980392]
recall
0.9954545454545455 [0.996416,0.990196]
recall
0.9939393939393939 [0.996416,0.980392]
recall
0.9984848484848485 [1,0.990196]
recall
0.9984848484848485 [0.998208,1]
recall
0.9984848484848485 [1,0.990196]
recall
0.9984848484848485 [1,0.990196]
recall
0.9984825493171472 [0.998208,1]
recall
0.9984825493171472 [0.998208,1]
relative_absolute_error
0.020080084234643386
relative_absolute_error
0.05216928957829456
relative_absolute_error
0.036517143310389064
relative_absolute_error
0.04895996291552822
relative_absolute_error
0.02913010785161702
relative_absolute_error
0.032554561106210925
relative_absolute_error
0.03570609778965938
relative_absolute_error
0.02105091575698951
relative_absolute_error
0.02365033149273959
relative_absolute_error
0.020399840473516027
root_mean_prior_squared_error
0.360018747598774
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.3602416958959955
root_mean_prior_squared_error
0.3602416958959955
root_mean_squared_error
0.040155659673923746
root_mean_squared_error
0.05436764152310899
root_mean_squared_error
0.05077585199106635
root_mean_squared_error
0.06752050729226804
root_mean_squared_error
0.03957849790442676
root_mean_squared_error
0.04053643845253569
root_mean_squared_error
0.05149815835607797
root_mean_squared_error
0.03678823581915612
root_mean_squared_error
0.04223984925364823
root_mean_squared_error
0.029789994264560138
root_relative_squared_error
0.11153769058347919
root_relative_squared_error
0.15040666831493962
root_relative_squared_error
0.14047007585537183
root_relative_squared_error
0.18679372987787243
root_relative_squared_error
0.10949288657637243
root_relative_squared_error
0.11214300422445195
root_relative_squared_error
0.1424683176554671
root_relative_squared_error
0.10177369898217321
root_relative_squared_error
0.11725419276796652
root_relative_squared_error
0.08269446486605686
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
10083.782235999934
usercpu_time_millis
10034.292162999918
usercpu_time_millis
10105.171185000017
usercpu_time_millis
10536.275006000324
usercpu_time_millis
10480.251545000101
usercpu_time_millis
10587.946831999943
usercpu_time_millis
10064.765879999868
usercpu_time_millis
10354.596816999674
usercpu_time_millis
11216.366600000129
usercpu_time_millis
10043.914534000123
usercpu_time_millis_testing
309.6759009999914
usercpu_time_millis_testing
316.35079700026836
usercpu_time_millis_testing
322.9933650000021
usercpu_time_millis_testing
321.22540900036256
usercpu_time_millis_testing
326.3496010004019
usercpu_time_millis_testing
325.1717580001241
usercpu_time_millis_testing
298.91256800010524
usercpu_time_millis_testing
310.7597779999196
usercpu_time_millis_testing
308.5764420002306
usercpu_time_millis_testing
299.5869070000481
usercpu_time_millis_training
9774.106334999942
usercpu_time_millis_training
9717.94136599965
usercpu_time_millis_training
9782.177820000015
usercpu_time_millis_training
10215.049596999961
usercpu_time_millis_training
10153.9019439997
usercpu_time_millis_training
10262.77507399982
usercpu_time_millis_training
9765.853311999763
usercpu_time_millis_training
10043.837038999754
usercpu_time_millis_training
10907.790157999898
usercpu_time_millis_training
9744.327627000075