6021422
1
Jan van Rijn
3950
Supervised Classification
predictive_accuracy
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
4056107
class_weight
null
6941
criterion
"gini"
6941
max_depth
3
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
53605
6941
splitter
"best"
6941
axis
0
6947
categorical_features
[0]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
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
false
6948
threshold
0.0
6949
algorithm
"SAMME"
6971
learning_rate
0.03934317027150858
6971
n_estimators
476
6971
random_state
26714
6971
openml-pimp
openml-python
Sklearn_0.18.1.
1116
musk
https://www.openml.org/data/download/53999/musk.arff
-1
12965965
description
https://api.openml.org/data/download/12965965/description.xml
-1
12965966
predictions
https://api.openml.org/data/download/12965966/predictions.arff
area_under_roc_curve
0.996509085732478 [0.996509,0.996509]
average_cost
0
f_measure
0.9430546927718962 [0.969808,0.796242]
kappa
0.7673519241302014
kb_relative_information_score
-9235.831240586207
mean_absolute_error
0.4068022286443213
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9496998807424772 [0.942659,0.988338]
predictive_accuracy
0.9474083055471355
prior_entropy
0.6203559250859288
recall
0.9474083055471355 [0.998567,0.666667]
relative_absolute_error
1.5596395753827113
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.40934505280484884
root_relative_squared_error
1.1336665988346524
total_cost
0
area_under_roc_curve
0.9961919268849962 [0.996192,0.996192]
area_under_roc_curve
0.9976807927472064 [0.997681,0.997681]
area_under_roc_curve
0.9963806311054889 [0.996381,0.996381]
area_under_roc_curve
0.9976807927472064 [0.997681,0.997681]
area_under_roc_curve
0.9970131421744325 [0.997013,0.997013]
area_under_roc_curve
0.9962225033382529 [0.996223,0.996223]
area_under_roc_curve
0.9933059245203456 [0.993306,0.993306]
area_under_roc_curve
0.994201981868016 [0.994202,0.994202]
area_under_roc_curve
0.9985450157919017 [0.998545,0.998545]
area_under_roc_curve
0.9982966038539338 [0.998297,0.998297]
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
0.9422175124638367 [0.969644,0.790419]
f_measure
0.938628585295702 [0.96791,0.778443]
f_measure
0.9292685054343084 [0.963731,0.740741]
f_measure
0.9422846751590988 [0.969592,0.792899]
f_measure
0.9500026287160945 [0.972878,0.824859]
f_measure
0.9404626623376623 [0.96875,0.785714]
f_measure
0.9375177865612648 [0.966957,0.776471]
f_measure
0.9554217311686555 [0.975395,0.846154]
f_measure
0.94754814616916 [0.972125,0.811765]
f_measure
0.9460617873683922 [0.971229,0.807018]
kappa
0.7615803814713898
kappa
0.7481435643564358
kappa
0.7072243346007606
kappa
0.7639774399215304
kappa
0.7984633569739952
kappa
0.7560975609756097
kappa
0.7449353185257503
kappa
0.8219653179190749
kappa
0.78501814623007
kappa
0.7793280500055808
kb_relative_information_score
-933.1390291320413
kb_relative_information_score
-928.4841132622529
kb_relative_information_score
-921.3187719029484
kb_relative_information_score
-917.4629089024478
kb_relative_information_score
-917.2091649009095
kb_relative_information_score
-939.7763392019768
kb_relative_information_score
-918.6189542469215
kb_relative_information_score
-908.2393993452304
kb_relative_information_score
-925.8609723192073
kb_relative_information_score
-925.7215873722649
mean_absolute_error
0.4080556451220271
mean_absolute_error
0.4084296215352307
mean_absolute_error
0.40671953818376555
mean_absolute_error
0.40550292353252393
mean_absolute_error
0.40523296709524537
mean_absolute_error
0.41120885803612645
mean_absolute_error
0.4059848899453032
mean_absolute_error
0.4033048833430452
mean_absolute_error
0.40675462225075265
mean_absolute_error
0.4068283047775956
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
0.9500943781246812 [0.941077,1]
precision
0.9474255156608098 [0.937815,1]
precision
0.9408181818181819 [0.93,1]
precision
0.9500996474015024 [0.940978,1]
precision
0.9539673659673659 [0.950427,0.973333]
precision
0.9487603305785125 [0.939394,1]
precision
0.944041769041769 [0.939189,0.970588]
precision
0.9577625391849529 [0.956897,0.9625]
precision
0.9540752552660682 [0.945763,1]
precision
0.9518078200052483 [0.945671,0.985714]
predictive_accuracy
0.946969696969697
predictive_accuracy
0.9439393939393939
predictive_accuracy
0.9363636363636364
predictive_accuracy
0.946969696969697
predictive_accuracy
0.953030303030303
predictive_accuracy
0.9454545454545454
predictive_accuracy
0.9424242424242425
predictive_accuracy
0.9575757575757575
predictive_accuracy
0.9514415781487102
predictive_accuracy
0.9499241274658574
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
0.946969696969697 [1,0.653465]
recall
0.943939393939394 [1,0.637255]
recall
0.9363636363636364 [1,0.588235]
recall
0.946969696969697 [1,0.656863]
recall
0.953030303030303 [0.996416,0.715686]
recall
0.9454545454545454 [1,0.647059]
recall
0.9424242424242424 [0.996416,0.647059]
recall
0.9575757575757575 [0.994624,0.754902]
recall
0.9514415781487102 [1,0.683168]
recall
0.9499241274658573 [0.998208,0.683168]
relative_absolute_error
1.5690513346511497
relative_absolute_error
1.5641875487137964
relative_absolute_error
1.5576383393896296
relative_absolute_error
1.5529789969014385
relative_absolute_error
1.5519451284560035
relative_absolute_error
1.5748313583211686
relative_absolute_error
1.5548248127336344
relative_absolute_error
1.5445610298523502
relative_absolute_error
1.5630835075510023
relative_absolute_error
1.563366656005138
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
0.41047295135849243
root_mean_squared_error
0.4109514996213511
root_mean_squared_error
0.4094277742329987
root_mean_squared_error
0.408053609658598
root_mean_squared_error
0.40759426188052406
root_mean_squared_error
0.41356665094519385
root_mean_squared_error
0.4087155093240587
root_mean_squared_error
0.4060858210906596
root_mean_squared_error
0.4091940246129024
root_mean_squared_error
0.40934244097198164
root_relative_squared_error
1.1401432678054522
root_relative_squared_error
1.1368866510570133
root_relative_squared_error
1.1326713043421561
root_relative_squared_error
1.1288697137349162
root_relative_squared_error
1.1275989400363993
root_relative_squared_error
1.1441213992774488
root_relative_squared_error
1.1307008419695004
root_relative_squared_error
1.1234258777663093
root_relative_squared_error
1.1358874590992372
root_relative_squared_error
1.136299450161821
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
69025.391868
usercpu_time_millis
68483.32631999998
usercpu_time_millis
68584.23958100002
usercpu_time_millis
68646.586821
usercpu_time_millis
68474.73017000004
usercpu_time_millis
68341.80884300004
usercpu_time_millis
68514.89677200004
usercpu_time_millis
68063.95372300012
usercpu_time_millis
68805.62622499997
usercpu_time_millis
68357.50632199996
usercpu_time_millis_testing
155.49064000001067
usercpu_time_millis_testing
154.89845199999763
usercpu_time_millis_testing
156.53027300001554
usercpu_time_millis_testing
154.50177899998607
usercpu_time_millis_testing
156.69424600002912
usercpu_time_millis_testing
156.17597400000705
usercpu_time_millis_testing
155.34897200001296
usercpu_time_millis_testing
155.95344900009422
usercpu_time_millis_testing
155.99837700005992
usercpu_time_millis_testing
157.07208699996045
usercpu_time_millis_training
68869.901228
usercpu_time_millis_training
68328.42786799998
usercpu_time_millis_training
68427.709308
usercpu_time_millis_training
68492.08504200002
usercpu_time_millis_training
68318.03592400001
usercpu_time_millis_training
68185.63286900002
usercpu_time_millis_training
68359.54780000003
usercpu_time_millis_training
67908.00027400002
usercpu_time_millis_training
68649.62784799992
usercpu_time_millis_training
68200.434235