10227989
8637
joe zhou
3948
Supervised Classification
9767
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)
8153352
copy
true
9559
fill_value
null
9559
missing_values
NaN
9559
strategy
"mean"
9559
verbose
0
9559
class_weight
null
9614
criterion
"gini"
9614
max_depth
null
9614
max_features
null
9614
max_leaf_nodes
null
9614
min_impurity_decrease
0.0
9614
min_impurity_split
null
9614
min_samples_leaf
1
9614
min_samples_split
2
9614
min_weight_fraction_leaf
0.0
9614
presort
false
9614
random_state
57268
9614
splitter
"best"
9614
memory
null
9767
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
9767
openml-python
Sklearn_0.20.3.
1114
KDDCup09_upselling
https://www.openml.org/data/download/53997/KDDCup09_upselling.arff
-1
21376942
description
https://api.openml.org/data/download/21376942/description.xml
-1
21376943
predictions
https://api.openml.org/data/download/21376943/predictions.arff
area_under_roc_curve
0.6821285633766373 [0.682129,0.682129]
average_cost
0
f_measure
0.9069472228166764 [0.947821,0.392771]
kappa
0.340865104769279
kb_relative_information_score
939.2887141201489
mean_absolute_error
0.0961
mean_prior_absolute_error
0.13644884284613232
number_of_instances
50000 [46318,3682]
precision
0.9103366581688188 [0.953506,0.367289]
predictive_accuracy
0.9039
prior_entropy
0.37942519132030705
recall
0.9039 [0.942204,0.422053]
relative_absolute_error
0.7042932574251874
root_mean_prior_squared_error
0.26118413177440014
root_mean_squared_error
0.31
root_relative_squared_error
1.1869021210973296
total_cost
0
area_under_roc_curve
0.6882462266276188 [0.688246,0.688246]
area_under_roc_curve
0.6792750807238868 [0.679275,0.679275]
area_under_roc_curve
0.6710149620785464 [0.671015,0.671015]
area_under_roc_curve
0.6718339340692349 [0.671834,0.671834]
area_under_roc_curve
0.6816240519636555 [0.681624,0.681624]
area_under_roc_curve
0.6948684012915822 [0.694868,0.694868]
area_under_roc_curve
0.6861765037170534 [0.686177,0.686177]
area_under_roc_curve
0.6852050011263798 [0.685205,0.685205]
area_under_roc_curve
0.6811402361486366 [0.68114,0.68114]
area_under_roc_curve
0.6819068385026325 [0.681907,0.681907]
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
0.9077917240395055 [0.948055,0.401003]
f_measure
0.9067929619215365 [0.947905,0.389313]
f_measure
0.9051683023383623 [0.947174,0.37644]
f_measure
0.904710029016785 [0.946706,0.376112]
f_measure
0.9052557632253553 [0.946384,0.387578]
f_measure
0.9103428196376355 [0.949723,0.414665]
f_measure
0.9081620846905538 [0.948534,0.4]
f_measure
0.9068776714290321 [0.947506,0.395494]
f_measure
0.9082125921081753 [0.949035,0.395887]
f_measure
0.9061372477052225 [0.947185,0.390977]
kappa
0.34939785274069535
kappa
0.33744705097682426
kappa
0.32380495369105294
kappa
0.32306039569670475
kappa
0.3343896690796055
kappa
0.3646519225660268
kappa
0.34879518866804704
kappa
0.3433545852611246
kappa
0.3450678593306093
kappa
0.33848714460017704
kb_relative_information_score
117.5251046851568
kb_relative_information_score
97.10782990951544
kb_relative_information_score
25.647368194736384
kb_relative_information_score
-15.187181356548463
kb_relative_information_score
-35.604456132203595
kb_relative_information_score
270.65466550251045
kb_relative_information_score
158.35965423644055
kb_relative_information_score
66.48191774603355
kb_relative_information_score
208.82100476969129
kb_relative_information_score
45.48280656449966
mean_absolute_error
0.0956
mean_absolute_error
0.096
mean_absolute_error
0.0974
mean_absolute_error
0.0982
mean_absolute_error
0.0986
mean_absolute_error
0.0926
mean_absolute_error
0.0948
mean_absolute_error
0.0966
mean_absolute_error
0.094
mean_absolute_error
0.0972
mean_prior_absolute_error
0.13641473541058433
mean_prior_absolute_error
0.13641473541058433
mean_prior_absolute_error
0.13641473541058433
mean_prior_absolute_error
0.13641473541058433
mean_prior_absolute_error
0.13641473541058433
mean_prior_absolute_error
0.13641473541058433
mean_prior_absolute_error
0.13641473541058433
mean_prior_absolute_error
0.13641473541058433
mean_prior_absolute_error
0.1365852725890972
mean_prior_absolute_error
0.1365852725890972
number_of_instances
5000 [4632,368]
number_of_instances
5000 [4632,368]
number_of_instances
5000 [4632,368]
number_of_instances
5000 [4632,368]
number_of_instances
5000 [4632,368]
number_of_instances
5000 [4632,368]
number_of_instances
5000 [4632,368]
number_of_instances
5000 [4632,368]
number_of_instances
5000 [4631,369]
number_of_instances
5000 [4631,369]
precision
0.911621670144013 [0.954486,0.372093]
precision
0.9098704855070499 [0.953077,0.366029]
precision
0.9079629934265224 [0.95182,0.355932]
precision
0.9079072866603211 [0.951976,0.353222]
precision
0.9096325270770617 [0.953539,0.356979]
precision
0.9136449471119604 [0.955429,0.387707]
precision
0.9114609852602289 [0.954128,0.374408]
precision
0.9108018543203745 [0.954038,0.366589]
precision
0.9106131290145119 [0.953169,0.376528]
precision
0.9098771862134801 [0.953402,0.363636]
predictive_accuracy
0.9044
predictive_accuracy
0.904
predictive_accuracy
0.9026000000000001
predictive_accuracy
0.9018
predictive_accuracy
0.9014
predictive_accuracy
0.9074
predictive_accuracy
0.9052
predictive_accuracy
0.9034
predictive_accuracy
0.9059999999999999
predictive_accuracy
0.9028
prior_entropy
0.37942519132030705
prior_entropy
0.37942519132030705
prior_entropy
0.37942519132030705
prior_entropy
0.37942519132030705
prior_entropy
0.37942519132030705
prior_entropy
0.37942519132030705
prior_entropy
0.37942519132030705
prior_entropy
0.37942519132030705
prior_entropy
0.37942519132030705
prior_entropy
0.37942519132030705
recall
0.9044 [0.94171,0.434783]
recall
0.904 [0.942789,0.415761]
recall
0.9026 [0.942573,0.399457]
recall
0.9018 [0.941494,0.402174]
recall
0.9014 [0.939335,0.423913]
recall
0.9074 [0.944085,0.445652]
recall
0.9052 [0.943005,0.429348]
recall
0.9034 [0.941062,0.429348]
recall
0.906 [0.944936,0.417344]
recall
0.9028 [0.941049,0.422764]
relative_absolute_error
0.7008040569243553
relative_absolute_error
0.703736291472156
relative_absolute_error
0.7139991123894582
relative_absolute_error
0.7198635814850596
relative_absolute_error
0.72279581603286
relative_absolute_error
0.6788122978158504
relative_absolute_error
0.694939587828754
relative_absolute_error
0.708134643293857
relative_absolute_error
0.6882147556478464
relative_absolute_error
0.7116433430741559
root_mean_prior_squared_error
0.26111882975979983
root_mean_prior_squared_error
0.26111882975979983
root_mean_prior_squared_error
0.26111882975979983
root_mean_prior_squared_error
0.26111882975979983
root_mean_prior_squared_error
0.26111882975979983
root_mean_prior_squared_error
0.26111882975979983
root_mean_prior_squared_error
0.26111882975979983
root_mean_prior_squared_error
0.26111882975979983
root_mean_prior_squared_error
0.26144517672667095
root_mean_prior_squared_error
0.26144517672667095
root_mean_squared_error
0.30919249667480614
root_mean_squared_error
0.30983866769659335
root_mean_squared_error
0.3120897306865447
root_mean_squared_error
0.31336879231984793
root_mean_squared_error
0.31400636936215165
root_mean_squared_error
0.3043024810940588
root_mean_squared_error
0.30789608636681304
root_mean_squared_error
0.31080540535840107
root_mean_squared_error
0.3065941943351178
root_mean_squared_error
0.3117691453623979
root_relative_squared_error
1.1841064735133378
root_relative_squared_error
1.1865810978917544
root_relative_squared_error
1.195201935354997
root_relative_squared_error
1.2001003244695614
root_relative_squared_error
1.2025420367079709
root_relative_squared_error
1.1653793078575876
root_relative_squared_error
1.1791416446299299
root_relative_squared_error
1.1902833880050219
root_relative_squared_error
1.1726901913958354
root_relative_squared_error
1.1924838287926742
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
4520.725176000042
usercpu_time_millis
4608.721061999972
usercpu_time_millis
4761.619728000028
usercpu_time_millis
4683.638581999958
usercpu_time_millis
4635.352771999919
usercpu_time_millis
4384.166492999952
usercpu_time_millis
4607.4000889999525
usercpu_time_millis
4621.318540999937
usercpu_time_millis
4404.609489999984
usercpu_time_millis
4621.786195999903
usercpu_time_millis_testing
56.83053999996446
usercpu_time_millis_testing
61.32977800007211
usercpu_time_millis_testing
59.281490999978814
usercpu_time_millis_testing
57.962170999985574
usercpu_time_millis_testing
57.96872700000222
usercpu_time_millis_testing
58.02940699993542
usercpu_time_millis_testing
57.03577600002063
usercpu_time_millis_testing
58.20146899998235
usercpu_time_millis_testing
59.21775100000559
usercpu_time_millis_testing
56.693812999924376
usercpu_time_millis_training
4463.894636000077
usercpu_time_millis_training
4547.3912839999
usercpu_time_millis_training
4702.338237000049
usercpu_time_millis_training
4625.676410999972
usercpu_time_millis_training
4577.384044999917
usercpu_time_millis_training
4326.137086000017
usercpu_time_millis_training
4550.364312999932
usercpu_time_millis_training
4563.1170719999545
usercpu_time_millis_training
4345.391738999979
usercpu_time_millis_training
4565.092382999978