6030345
1
Jan van Rijn
3950
Supervised Classification
predictive_accuracy
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4065029
bootstrap
true
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.5152644131375071
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
5
6902
min_samples_split
8
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
37147
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[0]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
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
openml-pimp
openml-python
Sklearn_0.18.1.
1116
musk
https://www.openml.org/data/download/53999/musk.arff
-1
12983771
description
https://api.openml.org/data/download/12983771/description.xml
-1
12983772
predictions
https://api.openml.org/data/download/12983772/predictions.arff
area_under_roc_curve
0.9997239193167857 [0.999724,0.999724]
average_cost
0
f_measure
0.993454998739056 [0.996155,0.978639]
kappa
0.9747942192146168
kb_relative_information_score
6004.846696900623
mean_absolute_error
0.027178842188789794
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.993465903220266 [0.994288,0.988956]
predictive_accuracy
0.9934828735980601
prior_entropy
0.6203559250859288
recall
0.99348287359806 [0.998029,0.968535]
relative_absolute_error
0.10420099720687594
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.08128803739209324
root_relative_squared_error
0.22512433519056518
total_cost
0
area_under_roc_curve
0.9997166085123718 [0.999717,0.999717]
area_under_roc_curve
0.9996837444655281 [0.999684,0.999684]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9999824302480849 [0.999982,0.999982]
area_under_roc_curve
0.9997540234731886 [0.999754,0.999754]
area_under_roc_curve
0.9991215124042448 [0.999122,0.999122]
area_under_roc_curve
0.9991039426523297 [0.999104,0.999104]
area_under_roc_curve
0.9997715932251037 [0.999772,0.999772]
area_under_roc_curve
0.9997870754817418 [0.999787,0.999787]
area_under_roc_curve
0.9999112814507258 [0.999911,0.999911]
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
0.9954452693878888 [0.997319,0.985075]
f_measure
0.992345964678636 [0.99554,0.974874]
f_measure
0.9969574059373737 [0.998211,0.990099]
f_measure
0.9969574059373737 [0.998211,0.990099]
f_measure
0.990909090909091 [0.994624,0.970588]
f_measure
0.9908344155844157 [0.994643,0.97]
f_measure
0.9862801517637259 [0.991957,0.955224]
f_measure
0.9939393939393939 [0.996416,0.980392]
f_measure
0.9969526387082939 [0.998211,0.99]
f_measure
0.9939052774165877 [0.996422,0.98]
kappa
0.9823937399964433
kappa
0.9704173838209983
kappa
0.9883103081827842
kappa
0.9883103081827842
kappa
0.9652118912080964
kappa
0.9646453824726807
kappa
0.9471830985915491
kappa
0.9768079274720639
kappa
0.9882113021233967
kappa
0.9764226042467935
kb_relative_information_score
602.4064068965628
kb_relative_information_score
593.381594007383
kb_relative_information_score
614.1514494503746
kb_relative_information_score
614.4927438972226
kb_relative_information_score
604.2697637309975
kb_relative_information_score
587.349204139913
kb_relative_information_score
580.6512678082604
kb_relative_information_score
608.0485850564303
kb_relative_information_score
600.7860622388056
kb_relative_information_score
599.3096196748547
mean_absolute_error
0.02611379313307473
mean_absolute_error
0.030756523944693682
mean_absolute_error
0.023939701402629056
mean_absolute_error
0.023184730104512715
mean_absolute_error
0.025738974339397192
mean_absolute_error
0.03336456969237238
mean_absolute_error
0.03297941089900362
mean_absolute_error
0.02339438311451935
mean_absolute_error
0.02644407441765616
mean_absolute_error
0.025869163193424655
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
0.9954448051948053 [0.996429,0.99]
precision
0.9924915226869045 [0.991119,1]
precision
0.9969805194805195 [0.996429,1]
precision
0.9969805194805195 [0.996429,1]
precision
0.990909090909091 [0.994624,0.970588]
precision
0.9909011679728508 [0.991103,0.989796]
precision
0.9862745098039215 [0.989305,0.969697]
precision
0.9939393939393939 [0.996416,0.980392]
precision
0.9969759375677434 [0.996429,1]
precision
0.9939158000994116 [0.994643,0.989899]
predictive_accuracy
0.9954545454545455
predictive_accuracy
0.9924242424242425
predictive_accuracy
0.9969696969696971
predictive_accuracy
0.9969696969696971
predictive_accuracy
0.990909090909091
predictive_accuracy
0.990909090909091
predictive_accuracy
0.9863636363636364
predictive_accuracy
0.9939393939393939
predictive_accuracy
0.9969650986342944
predictive_accuracy
0.9939301972685888
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
0.9954545454545455 [0.998211,0.980198]
recall
0.9924242424242424 [1,0.95098]
recall
0.996969696969697 [1,0.980392]
recall
0.996969696969697 [1,0.980392]
recall
0.990909090909091 [0.994624,0.970588]
recall
0.990909090909091 [0.998208,0.95098]
recall
0.9863636363636363 [0.994624,0.941176]
recall
0.9939393939393939 [0.996416,0.980392]
recall
0.9969650986342944 [1,0.980198]
recall
0.9939301972685888 [0.998208,0.970297]
relative_absolute_error
0.10041248652742421
relative_absolute_error
0.11779011428008722
relative_absolute_error
0.09168331795613534
relative_absolute_error
0.08879195885316193
relative_absolute_error
0.09857410201301027
relative_absolute_error
0.12777830433755857
relative_absolute_error
0.1263032384826373
relative_absolute_error
0.08959487962705212
relative_absolute_error
0.10161973419249383
relative_absolute_error
0.09941045566498825
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
0.078378781815847
root_mean_squared_error
0.09121004357159271
root_mean_squared_error
0.06710633971445731
root_mean_squared_error
0.0682060034895937
root_mean_squared_error
0.0788086176626702
root_mean_squared_error
0.09738671650058724
root_mean_squared_error
0.09988563526733753
root_mean_squared_error
0.07426477950501773
root_mean_squared_error
0.07624643375376446
root_mean_squared_error
0.07386331433138336
root_relative_squared_error
0.2177075008971391
root_relative_squared_error
0.25233021676381967
root_relative_squared_error
0.1856479460300279
root_relative_squared_error
0.18869013730504558
root_relative_squared_error
0.21802199405890835
root_relative_squared_error
0.26941782201015485
root_relative_squared_error
0.2763310158800201
root_relative_squared_error
0.20545158380183826
root_relative_squared_error
0.21165354988717738
root_relative_squared_error
0.20503821510075354
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
34590.40235499924
usercpu_time_millis
34323.29308499902
usercpu_time_millis
34287.284961003024
usercpu_time_millis
34352.866778001044
usercpu_time_millis
33752.48067299981
usercpu_time_millis
33642.47229700413
usercpu_time_millis
34246.76181999894
usercpu_time_millis
33803.8101419952
usercpu_time_millis
34464.320861003216
usercpu_time_millis
35451.29657399957
usercpu_time_millis_testing
89.02407799905632
usercpu_time_millis_testing
89.99473799849511
usercpu_time_millis_testing
91.94332000333816
usercpu_time_millis_testing
89.22100199924898
usercpu_time_millis_testing
88.98881799905212
usercpu_time_millis_testing
88.79970000270987
usercpu_time_millis_testing
89.31849399959901
usercpu_time_millis_testing
88.53384199755965
usercpu_time_millis_testing
89.53888300311519
usercpu_time_millis_testing
88.97499500017148
usercpu_time_millis_training
34501.378277000185
usercpu_time_millis_training
34233.29834700053
usercpu_time_millis_training
34195.341640999686
usercpu_time_millis_training
34263.645776001795
usercpu_time_millis_training
33663.49185500076
usercpu_time_millis_training
33553.67259700142
usercpu_time_millis_training
34157.44332599934
usercpu_time_millis_training
33715.27629999764
usercpu_time_millis_training
34374.7819780001
usercpu_time_millis_training
35362.3215789994