10437845
11497
Fares Gaaloul
3489
Supervised Classification
predictive_accuracy
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.
327
bridges
https://www.openml.org/data/download/52231/phpjuWdq9
-1
21800043
description
https://api.openml.org/data/download/21800043/description.xml
-1
21800044
predictions
https://api.openml.org/data/download/21800044/predictions.arff
area_under_roc_curve
0.8633269807265619 [1,0.764023,0.863636,0.840301,0.773694,0.881053]
average_cost
0
f_measure
0.6577475434618292 [1,0.555556,0.75,0.47619,0.272727,0.47619]
kappa
0.5445532284050068
kb_relative_information_score
0.5196113993809479
mean_absolute_error
0.136726095797381
mean_prior_absolute_error
0.2530244530244531
weighted_recall
0.6666666666666666 [1,0.454545,0.818182,0.384615,0.272727,0.5]
number_of_instances
105 [16,11,44,13,11,10]
precision
0.6665631987060558 [1,0.714286,0.692308,0.625,0.272727,0.454545]
predictive_accuracy
0.6666666666666667
prior_entropy
2.3182249436120275
relative_absolute_error
0.5403671232683877
root_mean_prior_squared_error
0.3547438762475114
root_mean_squared_error
0.29308702249319285
root_relative_squared_error
0.8261933245852582
total_cost
0
unweighted_recall
0.5716783216783217 [1,0.454545,0.818182,0.384615,0.272727,0.5]
area_under_roc_curve
0.9636363636363636 [1,0.7,1,1,0.9,1]
area_under_roc_curve
0.9181818181818181 [1,0.2,1,0.9,1,1]
area_under_roc_curve
0.8333333333333333 [1,1,0.833333,0.9,0.2,0.9]
area_under_roc_curve
0.9121212121212122 [1,1,0.866667,1,0.9,0.8]
area_under_roc_curve
0.9002886002886004 [1,0.4,0.928571,0.9,0.944444,1]
area_under_roc_curve
0.7402777777777778 [1,1,0.708333,0.5625,0.777778,0.666667]
area_under_roc_curve
0.75 [1,0.888889,0.75,0.75,0.777778,0.333333]
area_under_roc_curve
0.7611111111111112 [1,0.777778,0.666667,0.75,0.666667,1]
area_under_roc_curve
0.8444444444444444 [1,1,0.833333,0.777778,0.333333,1]
area_under_roc_curve
0.7777777777777779 [1,0.222222,0.666667,1,0.888889,1]
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
0.7272727272727272 [1,1,0.666667,1,0.666667,0]
kappa
0.7380952380952381
kappa
0.875
kappa
0.7380952380952381
kappa
0.641304347826087
kappa
0.49425287356321834
kappa
0.2424242424242424
kappa
0.3333333333333333
kappa
0.24050632911392408
kappa
0.620253164556962
kappa
0.4520547945205479
kb_relative_information_score
0.5886315737547515
kb_relative_information_score
0.7478036117317644
kb_relative_information_score
0.6686792074685886
kb_relative_information_score
0.6084907218333852
kb_relative_information_score
0.5263228321761514
kb_relative_information_score
0.30230932029275154
kb_relative_information_score
0.3114782358137704
kb_relative_information_score
0.35058004163051637
kb_relative_information_score
0.5586782122364616
kb_relative_information_score
0.5086706237928118
mean_absolute_error
0.1086894915181818
mean_absolute_error
0.07944960122500001
mean_absolute_error
0.0918199210769697
mean_absolute_error
0.12228558272681816
mean_absolute_error
0.13177629448045453
mean_absolute_error
0.18785297932
mean_absolute_error
0.18542854497749997
mean_absolute_error
0.19420536937883334
mean_absolute_error
0.135432608052
mean_absolute_error
0.145281524014
mean_prior_absolute_error
0.24924924924924927
mean_prior_absolute_error
0.24924924924924927
mean_prior_absolute_error
0.24924924924924927
mean_prior_absolute_error
0.24924924924924927
mean_prior_absolute_error
0.25825825825825827
mean_prior_absolute_error
0.2552552552552553
mean_prior_absolute_error
0.2552552552552553
mean_prior_absolute_error
0.2552552552552553
mean_prior_absolute_error
0.25585585585585585
mean_prior_absolute_error
0.2543543543543544
number_of_instances
11 [2,1,5,1,1,1]
number_of_instances
11 [2,1,5,1,1,1]
number_of_instances
11 [2,1,5,1,1,1]
number_of_instances
11 [2,1,5,1,1,1]
number_of_instances
11 [2,1,4,1,2,1]
number_of_instances
10 [1,1,4,2,1,1]
number_of_instances
10 [1,1,4,2,1,1]
number_of_instances
10 [1,1,4,2,1,1]
number_of_instances
10 [1,2,4,1,1,1]
number_of_instances
10 [2,1,4,1,1,1]
precision
0.75 [1,1,0.75,1,0.5,0]
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.9090909090909091
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.6363636363636364
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.4
predictive_accuracy
0.7
predictive_accuracy
0.6
prior_entropy
2.242515620324082
prior_entropy
2.242515620324082
prior_entropy
2.242515620324082
prior_entropy
2.242515620324082
prior_entropy
2.4158693108339473
prior_entropy
2.3645216972737204
prior_entropy
2.3645216972737204
prior_entropy
2.3645216972737204
prior_entropy
2.3867609394073654
prior_entropy
2.336510905354447
relative_absolute_error
0.43606747801872936
relative_absolute_error
0.3187556290111446
relative_absolute_error
0.3683859484172398
relative_absolute_error
0.49061565118108974
relative_absolute_error
0.5102500704882715
relative_absolute_error
0.7359416719242351
relative_absolute_error
0.7264435938530291
relative_absolute_error
0.7608280941547235
relative_absolute_error
0.5293316723159155
relative_absolute_error
0.5711776563950649
root_mean_prior_squared_error
0.34938233206604175
root_mean_prior_squared_error
0.34938233206604175
root_mean_prior_squared_error
0.34938233206604175
root_mean_prior_squared_error
0.34938233206604175
root_mean_prior_squared_error
0.3620456089623445
root_mean_prior_squared_error
0.357874307496238
root_mean_prior_squared_error
0.357874307496238
root_mean_prior_squared_error
0.357874307496238
root_mean_prior_squared_error
0.3587124483015782
root_mean_prior_squared_error
0.35661340281179976
root_mean_squared_error
0.2508768238919057
root_mean_squared_error
0.19995548360789753
root_mean_squared_error
0.2370319195312746
root_mean_squared_error
0.26316405890860095
root_mean_squared_error
0.2789858483554623
root_mean_squared_error
0.3502336339921932
root_mean_squared_error
0.36340167889025354
root_mean_squared_error
0.3545460253391521
root_mean_squared_error
0.29487183512992965
root_mean_squared_error
0.31266602193593707
root_relative_squared_error
0.7180581296380032
root_relative_squared_error
0.5723113771251063
root_relative_squared_error
0.67843132802282
root_relative_squared_error
0.7532265794678381
root_relative_squared_error
0.7705820522311015
root_relative_squared_error
0.9786498406172254
root_relative_squared_error
1.015445007585725
root_relative_squared_error
0.9906998572197839
root_relative_squared_error
0.8220284423528669
root_relative_squared_error
0.8767646405621619
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
0.6666666666666666 [1,0,1,1,1,0]
unweighted_recall
0.8333333333333334 [1,0,1,1,1,1]
unweighted_recall
0.6666666666666666 [1,1,1,0,0,1]
unweighted_recall
0.7666666666666666 [1,1,0.6,1,1,0]
unweighted_recall
0.5 [1,0,1,0,0,1]
unweighted_recall
0.3333333333333333 [1,0,1,0,0,0]
unweighted_recall
0.4583333333333333 [1,1,0.75,0,0,0]
unweighted_recall
0.4583333333333333 [1,0,0.25,0.5,0,1]
unweighted_recall
0.625 [1,1,0.75,0,0,1]
unweighted_recall
0.4583333333333333 [1,0,0.75,1,0,0]
usercpu_time_millis
53.70979999997871
usercpu_time_millis
53.72560700016038
usercpu_time_millis
54.200265999952535
usercpu_time_millis
52.678226999887556
usercpu_time_millis
52.02773900009561
usercpu_time_millis
50.90284299990344
usercpu_time_millis
51.252961000045616
usercpu_time_millis
53.04495799987308
usercpu_time_millis
51.16297999984454
usercpu_time_millis
51.88520299998345
usercpu_time_millis_testing
1.1764339999444928
usercpu_time_millis_testing
0.8776350000516686
usercpu_time_millis_testing
0.9957180000128574
usercpu_time_millis_testing
0.8693049999237701
usercpu_time_millis_testing
0.864350000028935
usercpu_time_millis_testing
0.8374260000891809
usercpu_time_millis_testing
0.8678350000081991
usercpu_time_millis_testing
0.8837729999413568
usercpu_time_millis_testing
0.8541059999060963
usercpu_time_millis_testing
0.8434779999788589
usercpu_time_millis_training
52.53336600003422
usercpu_time_millis_training
52.84797200010871
usercpu_time_millis_training
53.20454799993968
usercpu_time_millis_training
51.808921999963786
usercpu_time_millis_training
51.16338900006667
usercpu_time_millis_training
50.06541699981426
usercpu_time_millis_training
50.38512600003742
usercpu_time_millis_training
52.16118499993172
usercpu_time_millis_training
50.30887399993844
usercpu_time_millis_training
51.04172500000459
wall_clock_time_millis
54.04186248779297
wall_clock_time_millis
54.01158332824707
wall_clock_time_millis
54.69107627868652
wall_clock_time_millis
53.071022033691406
wall_clock_time_millis
52.14977264404297
wall_clock_time_millis
50.939083099365234
wall_clock_time_millis
51.286935806274414
wall_clock_time_millis
53.252220153808594
wall_clock_time_millis
51.24711990356445
wall_clock_time_millis
51.98979377746582
wall_clock_time_millis_testing
1.2743473052978516
wall_clock_time_millis_testing
0.8819103240966797
wall_clock_time_millis_testing
1.0135173797607422
wall_clock_time_millis_testing
0.8730888366699219
wall_clock_time_millis_testing
0.8685588836669922
wall_clock_time_millis_testing
0.8420944213867188
wall_clock_time_millis_testing
0.8733272552490234
wall_clock_time_millis_testing
0.8873939514160156
wall_clock_time_millis_testing
0.8580684661865234
wall_clock_time_millis_testing
0.8475780487060547
wall_clock_time_millis_training
52.76751518249512
wall_clock_time_millis_training
53.12967300415039
wall_clock_time_millis_training
53.67755889892578
wall_clock_time_millis_training
52.197933197021484
wall_clock_time_millis_training
51.28121376037598
wall_clock_time_millis_training
50.096988677978516
wall_clock_time_millis_training
50.41360855102539
wall_clock_time_millis_training
52.36482620239258
wall_clock_time_millis_training
50.38905143737793
wall_clock_time_millis_training
51.142215728759766
weighted_recall
0.8181818181818182 [1,0,1,1,1,0]
weighted_recall
0.9090909090909091 [1,0,1,1,1,1]
weighted_recall
0.8181818181818182 [1,1,1,0,0,1]
weighted_recall
0.7272727272727273 [1,1,0.6,1,1,0]
weighted_recall
0.6363636363636364 [1,0,1,0,0,1]
weighted_recall
0.5 [1,0,1,0,0,0]
weighted_recall
0.5 [1,1,0.75,0,0,0]
weighted_recall
0.4 [1,0,0.25,0.5,0,1]
weighted_recall
0.7 [1,1,0.75,0,0,1]
weighted_recall
0.6 [1,0,0.75,1,0,0]