10435723
10963
Nelly Palacios
3512
Supervised Classification
17488
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=xgboost.sklearn.XGBClassifier)(1)
8259290
add_indicator
false
17407
copy
true
17407
fill_value
-1
17407
missing_values
NaN
17407
strategy
"constant"
17407
verbose
0
17407
memory
null
17488
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"}}]
17488
verbose
false
17488
base_score
0.5
17489
booster
"gbtree"
17489
colsample_bylevel
1
17489
colsample_bynode
1
17489
colsample_bytree
1
17489
gamma
0
17489
learning_rate
0.1
17489
max_delta_step
0
17489
max_depth
3
17489
min_child_weight
1
17489
missing
null
17489
n_estimators
100
17489
n_jobs
1
17489
nthread
null
17489
objective
"multi:softprob"
17489
random_state
42
17489
reg_alpha
0
17489
reg_lambda
1
17489
scale_pos_weight
1
17489
seed
null
17489
silent
null
17489
subsample
1
17489
verbosity
1
17489
openml-python
Sklearn_0.21.2.
377
synthetic_control
https://www.openml.org/data/download/52417/synthetic_control.arff
-1
21794350
description
https://api.openml.org/data/download/21794350/description.xml
-1
21794351
predictions
https://api.openml.org/data/download/21794351/predictions.arff
area_under_roc_curve
0.9989133333333332 [0.99998,0.99806,0.99746,0.99904,1,0.99894]
average_cost
0
f_measure
0.9733286314260325 [0.994975,0.969697,0.954774,0.974619,0.97561,0.970297]
kappa
0.9680000000000001
kb_relative_information_score
0.951988470521084
mean_absolute_error
0.020266545179144443
mean_prior_absolute_error
0.2777777777777742
weighted_recall
0.9733333333333334 [0.99,0.96,0.95,0.96,1,0.98]
number_of_instances
600 [100,100,100,100,100,100]
precision
0.9736739640144301 [1,0.979592,0.959596,0.989691,0.952381,0.960784]
predictive_accuracy
0.9733333333333333
prior_entropy
2.584962500721137
relative_absolute_error
0.07295956264492094
root_mean_prior_squared_error
0.37267799624996256
root_mean_squared_error
0.08867846310215076
root_relative_squared_error
0.2379492859639407
total_cost
0
unweighted_recall
0.9733333333333333 [0.99,0.96,0.95,0.96,1,0.98]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.9966666666666666 [1,0.992,0.988,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.9946666666666667 [1,1,0.986,0.99,1,0.992]
area_under_roc_curve
0.9993333333333335 [0.998,1,1,1,1,0.998]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.9993333333333333 [1,0.998,0.998,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.9969999999999999 [1,0.99,0.994,1,1,0.998]
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
0.9832915622389307 [1,1,1,1,0.952381,0.947368]
f_measure
0.9324143692564746 [1,0.842105,0.8,1,0.952381,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.9164274322169059 [1,0.947368,0.842105,0.9,0.909091,0.9]
f_measure
0.9496215285688969 [0.947368,1,1,0.888889,0.952381,0.909091]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.9832915622389307 [1,0.952381,0.947368,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1]
f_measure
0.9665831244778613 [1,0.947368,0.952381,0.947368,1,0.952381]
kappa
0.98
kappa
0.92
kappa
1
kappa
0.8999999999999999
kappa
0.94
kappa
1
kappa
0.98
kappa
1
kappa
1
kappa
0.96
kb_relative_information_score
0.9575751283899572
kb_relative_information_score
0.9337333842852804
kb_relative_information_score
0.9814555521502188
kb_relative_information_score
0.8935643532803479
kb_relative_information_score
0.9311162340380406
kb_relative_information_score
0.9771045639616357
kb_relative_information_score
0.9618219812560284
kb_relative_information_score
0.9803507293153629
kb_relative_information_score
0.9629895628521425
kb_relative_information_score
0.9401732156817375
mean_absolute_error
0.01885703901302778
mean_absolute_error
0.024824556182555555
mean_absolute_error
0.010180002747416669
mean_absolute_error
0.039580407709166675
mean_absolute_error
0.026621264718583337
mean_absolute_error
0.011932383566916671
mean_absolute_error
0.015963569484000004
mean_absolute_error
0.010477694907805556
mean_absolute_error
0.019187289153916664
mean_absolute_error
0.025041244308055557
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
precision
0.9848484848484849 [1,1,1,1,0.909091,1]
precision
0.9329966329966329 [1,0.888889,0.8,1,0.909091,1]
precision
1 [1,1,1,1,1,1]
precision
0.9203703703703704 [1,1,0.888889,0.9,0.833333,0.9]
precision
0.9570707070707072 [1,1,1,1,0.909091,0.833333]
precision
1 [1,1,1,1,1,1]
precision
0.9848484848484849 [1,0.909091,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1]
precision
0.9696969696969698 [1,1,0.909091,1,1,0.909091]
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.95
predictive_accuracy
1
predictive_accuracy
0.9833333333333333
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9666666666666667
prior_entropy
2.5849625007211587
prior_entropy
2.5849625007211587
prior_entropy
2.5849625007211587
prior_entropy
2.5849625007211587
prior_entropy
2.5849625007211587
prior_entropy
2.5849625007211587
prior_entropy
2.5849625007211587
prior_entropy
2.5849625007211587
prior_entropy
2.5849625007211587
prior_entropy
2.5849625007211587
relative_absolute_error
0.06788534044689991
relative_absolute_error
0.08936840225719987
relative_absolute_error
0.03664800989069996
relative_absolute_error
0.14248946775299984
relative_absolute_error
0.09583655298689987
relative_absolute_error
0.042956580840899955
relative_absolute_error
0.05746885014239993
relative_absolute_error
0.037719701668099945
relative_absolute_error
0.06907424095409989
relative_absolute_error
0.09014847950899987
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_squared_error
0.07819229755849366
root_mean_squared_error
0.11506086422920513
root_mean_squared_error
0.036140405433904066
root_mean_squared_error
0.1475922360036393
root_mean_squared_error
0.10725875915339375
root_mean_squared_error
0.05002292756353358
root_mean_squared_error
0.07918756149414549
root_mean_squared_error
0.042369473481705146
root_mean_squared_error
0.06126758724357864
root_mean_squared_error
0.10183206347294962
root_relative_squared_error
0.20981195118921903
root_relative_squared_error
0.3087406967596517
root_relative_squared_error
0.09697488394153465
root_relative_squared_error
0.39603152718639495
root_relative_squared_error
0.2878054519791192
root_relative_squared_error
0.13422559975873072
root_relative_squared_error
0.2124825245680248
root_relative_squared_error
0.11368922745116078
root_relative_squared_error
0.16439818787284885
root_relative_squared_error
0.2732440994575062
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
unweighted_recall
0.9833333333333334 [1,1,1,1,1,0.9]
unweighted_recall
0.9333333333333332 [1,0.8,0.8,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1]
unweighted_recall
0.9166666666666666 [1,0.9,0.8,0.9,1,0.9]
unweighted_recall
0.9500000000000001 [0.9,1,1,0.8,1,1]
unweighted_recall
1 [1,1,1,1,1,1]
unweighted_recall
0.9833333333333334 [1,1,0.9,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1]
unweighted_recall
0.9666666666666667 [1,0.9,1,0.9,1,1]
usercpu_time_millis
696.3649650006118
usercpu_time_millis
700.2436330003547
usercpu_time_millis
698.7749210002221
usercpu_time_millis
685.3104530000564
usercpu_time_millis
690.4240789999676
usercpu_time_millis
697.1437370011699
usercpu_time_millis
696.1113169991222
usercpu_time_millis
691.8841950000569
usercpu_time_millis
696.4873799997804
usercpu_time_millis
693.095939000159
usercpu_time_millis_testing
1.49188400064304
usercpu_time_millis_testing
1.353712000309315
usercpu_time_millis_testing
1.3869770000383141
usercpu_time_millis_testing
1.4041479998923023
usercpu_time_millis_testing
1.4282069996625069
usercpu_time_millis_testing
1.4051960006327135
usercpu_time_millis_testing
1.3636759995279135
usercpu_time_millis_testing
1.375210000333027
usercpu_time_millis_testing
1.3536440001189476
usercpu_time_millis_testing
1.4193699998941156
usercpu_time_millis_training
694.8730809999688
usercpu_time_millis_training
698.8899210000454
usercpu_time_millis_training
697.3879440001838
usercpu_time_millis_training
683.9063050001641
usercpu_time_millis_training
688.9958720003051
usercpu_time_millis_training
695.7385410005372
usercpu_time_millis_training
694.7476409995943
usercpu_time_millis_training
690.5089849997239
usercpu_time_millis_training
695.1337359996614
usercpu_time_millis_training
691.6765690002649
wall_clock_time_millis
697.4101066589355
wall_clock_time_millis
701.0025978088379
wall_clock_time_millis
699.3296146392822
wall_clock_time_millis
685.3654384613037
wall_clock_time_millis
690.8903121948242
wall_clock_time_millis
697.5307464599609
wall_clock_time_millis
696.1324214935303
wall_clock_time_millis
691.8916702270508
wall_clock_time_millis
696.5000629425049
wall_clock_time_millis
693.1085586547852
wall_clock_time_millis_testing
1.495361328125
wall_clock_time_millis_testing
1.3554096221923828
wall_clock_time_millis_testing
1.3895034790039062
wall_clock_time_millis_testing
1.4064311981201172
wall_clock_time_millis_testing
1.4309883117675781
wall_clock_time_millis_testing
1.4073848724365234
wall_clock_time_millis_testing
1.36566162109375
wall_clock_time_millis_testing
1.3775825500488281
wall_clock_time_millis_testing
1.3561248779296875
wall_clock_time_millis_testing
1.4221668243408203
wall_clock_time_millis_training
695.9147453308105
wall_clock_time_millis_training
699.6471881866455
wall_clock_time_millis_training
697.9401111602783
wall_clock_time_millis_training
683.9590072631836
wall_clock_time_millis_training
689.4593238830566
wall_clock_time_millis_training
696.1233615875244
wall_clock_time_millis_training
694.7667598724365
wall_clock_time_millis_training
690.514087677002
wall_clock_time_millis_training
695.1439380645752
wall_clock_time_millis_training
691.6863918304443
weighted_recall
0.9833333333333333 [1,1,1,1,1,0.9]
weighted_recall
0.9333333333333333 [1,0.8,0.8,1,1,1]
weighted_recall
1 [1,1,1,1,1,1]
weighted_recall
0.9166666666666666 [1,0.9,0.8,0.9,1,0.9]
weighted_recall
0.95 [0.9,1,1,0.8,1,1]
weighted_recall
1 [1,1,1,1,1,1]
weighted_recall
0.9833333333333333 [1,1,0.9,1,1,1]
weighted_recall
1 [1,1,1,1,1,1]
weighted_recall
1 [1,1,1,1,1,1]
weighted_recall
0.9666666666666667 [1,0.9,1,0.9,1,1]