10437844
11497
Fares Gaaloul
3018
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.
285
flags
https://www.openml.org/data/download/49810/flags.arff
-1
21800041
description
https://api.openml.org/data/download/21800041/description.xml
-1
21800042
predictions
https://api.openml.org/data/download/21800042/predictions.arff
area_under_roc_curve
0.9153091115524868 [0.95763,0.918657,0.924226,0.832661,0.656579,0.947217,0.872998,0.728947]
average_cost
0
kappa
0.6292620779830356
kb_relative_information_score
0.5638412656261351
mean_absolute_error
0.09637345198045752
mean_prior_absolute_error
0.20062263958354576
weighted_recall
0.7061855670103093 [0.775,0.833333,0.722222,0.125,0,0.777778,0.533333,0]
number_of_instances
194 [40,60,36,8,4,27,15,4]
predictive_accuracy
0.7061855670103092
prior_entropy
2.5477988576624586
relative_absolute_error
0.48037176751592137
root_mean_prior_squared_error
0.3161524350052739
root_mean_squared_error
0.22949526618312976
root_relative_squared_error
0.725900675663945
total_cost
0
unweighted_recall
0.4708333333333333 [0.775,0.833333,0.722222,0.125,0,0.777778,0.533333,0]
area_under_roc_curve
0.9363956766917294 [1,0.904762,0.890625,0.894737,0.842105,1,1,0.0]
area_under_roc_curve
0.8839202786377708 [0.84375,0.833333,1,0.842105,0.684211,0.960784,0.894737,0.0]
area_under_roc_curve
0.9201044891640866 [1,1,0.90625,0.842105,0.052632,0.960784,1,0.0]
area_under_roc_curve
0.9082941729323307 [0.984375,0.857143,0.96875,0.368421,0.947368,1,1,0.894737]
area_under_roc_curve
0.885144611150803 [0.916667,0.910256,1,1,0.0,0.705882,0.833333,0.444444]
area_under_roc_curve
0.9424836601307189 [0.983333,1,0.916667,0.0,0.0,0.941176,0.823529,0.777778]
area_under_roc_curve
0.9524589187901881 [1,0.948718,0.958333,0.0,0.0,1,0.764706,1]
area_under_roc_curve
0.9110598422904925 [0.966667,0.858974,0.9375,0.888889,0.0,1,0.794118,0.0]
area_under_roc_curve
0.9217859410970867 [0.983333,0.846154,0.875,1,0.0,0.979167,0.970588,0.0]
area_under_roc_curve
0.9794501336297002 [0.983333,0.974359,1,0.888889,0.0,1,0.970588,0.0]
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
average_cost
0
f_measure
0.732999164578112 [0.888889,0.8,0.666667,0,0.0,0.857143,0.5,0.0]
kappa
0.6865203761755486
kappa
0.5638629283489097
kappa
0.6794871794871795
kappa
0.6238244514106582
kappa
0.594306049822064
kappa
0.5913978494623656
kappa
0.6055363321799309
kappa
0.6735395189003436
kappa
0.5928571428571429
kappa
0.6724137931034482
kb_relative_information_score
0.5902138765180983
kb_relative_information_score
0.46083920557280705
kb_relative_information_score
0.5820517409447798
kb_relative_information_score
0.5538947314768312
kb_relative_information_score
0.5507127520922637
kb_relative_information_score
0.5390094180160525
kb_relative_information_score
0.596630706507748
kb_relative_information_score
0.5471969239216172
kb_relative_information_score
0.619692118092329
kb_relative_information_score
0.6046629592895756
mean_absolute_error
0.08627367750825002
mean_absolute_error
0.11941899073187504
mean_absolute_error
0.0869066741984375
mean_absolute_error
0.09199821815075002
mean_absolute_error
0.09890428818473684
mean_absolute_error
0.08698193329217105
mean_absolute_error
0.08821893609710527
mean_absolute_error
0.10844200830092103
mean_absolute_error
0.10317526354296054
mean_absolute_error
0.09346170070960529
mean_prior_absolute_error
0.200990099009901
mean_prior_absolute_error
0.200990099009901
mean_prior_absolute_error
0.200990099009901
mean_prior_absolute_error
0.2024133663366337
mean_prior_absolute_error
0.20023449713392394
mean_prior_absolute_error
0.19977853048462743
mean_prior_absolute_error
0.20036477331943722
mean_prior_absolute_error
0.20010422094841065
mean_prior_absolute_error
0.20010422094841065
mean_prior_absolute_error
0.20010422094841065
number_of_instances
20 [4,6,4,1,1,3,1,0]
number_of_instances
20 [4,6,4,1,1,3,1,0]
number_of_instances
20 [4,6,4,1,1,3,1,0]
number_of_instances
20 [4,6,4,1,1,2,1,1]
number_of_instances
19 [4,6,4,1,0,2,1,1]
number_of_instances
19 [4,6,4,0,0,2,2,1]
number_of_instances
19 [4,6,3,0,0,3,2,1]
number_of_instances
19 [4,6,3,1,0,3,2,0]
number_of_instances
19 [4,6,3,1,0,3,2,0]
number_of_instances
19 [4,6,3,1,0,3,2,0]
precision
0.7605263157894736 [0.8,1,0.666667,0,0.0,0.75,0.5,0.0]
predictive_accuracy
0.75
predictive_accuracy
0.65
predictive_accuracy
0.75
predictive_accuracy
0.7
predictive_accuracy
0.6842105263157895
predictive_accuracy
0.6842105263157895
predictive_accuracy
0.6842105263157895
predictive_accuracy
0.736842105263158
predictive_accuracy
0.6842105263157895
predictive_accuracy
0.736842105263158
prior_entropy
2.5698933143083975
prior_entropy
2.5698933143083975
prior_entropy
2.5698933143083975
prior_entropy
2.6941646556669094
prior_entropy
2.5551057750249346
prior_entropy
2.5114176172061087
prior_entropy
2.532580693183548
prior_entropy
2.487949277049077
prior_entropy
2.487949277049077
prior_entropy
2.487949277049077
relative_absolute_error
0.4292434201149385
relative_absolute_error
0.5941535992078512
relative_absolute_error
0.43239281251439343
relative_absolute_error
0.4545066356820911
relative_absolute_error
0.4939423006545477
relative_absolute_error
0.43539179651170845
relative_absolute_error
0.4402916472570741
relative_absolute_error
0.5419276404413214
relative_absolute_error
0.5156076321326596
relative_absolute_error
0.4670651137024284
root_mean_prior_squared_error
0.3167330446703012
root_mean_prior_squared_error
0.3167330446703012
root_mean_prior_squared_error
0.3167330446703012
root_mean_prior_squared_error
0.31897192496025684
root_mean_prior_squared_error
0.31553798457577487
root_mean_prior_squared_error
0.3148146328569329
root_mean_prior_squared_error
0.3157443521199631
root_mean_prior_squared_error
0.3153314819751251
root_mean_prior_squared_error
0.3153314819751251
root_mean_prior_squared_error
0.3153314819751251
root_mean_squared_error
0.2199694376931494
root_mean_squared_error
0.24891051081645255
root_mean_squared_error
0.20851485931765232
root_mean_squared_error
0.23620182013408858
root_mean_squared_error
0.23950108543524892
root_mean_squared_error
0.24189931389717922
root_mean_squared_error
0.22173438719145713
root_mean_squared_error
0.24270652963836156
root_mean_squared_error
0.22195103843014322
root_mean_squared_error
0.20955401908923804
root_relative_squared_error
0.6944947532144096
root_relative_squared_error
0.7858684624319904
root_relative_squared_error
0.6583299811192826
root_relative_squared_error
0.7405097491370715
root_relative_squared_error
0.7590245775235149
root_relative_squared_error
0.7683865000236824
root_relative_squared_error
0.7022592350510578
root_relative_squared_error
0.7696869596341397
root_relative_squared_error
0.7038657765470172
root_relative_squared_error
0.6645515309054004
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
0.5520833333333333 [0.75,0.666667,1,0,0,1,1,0]
usercpu_time_millis
171.7587039997852
usercpu_time_millis
170.76462099998935
usercpu_time_millis
167.18262299991693
usercpu_time_millis
171.2406850001571
usercpu_time_millis
167.4112220000552
usercpu_time_millis
171.37650299991947
usercpu_time_millis
170.22444299982453
usercpu_time_millis
181.77323400004752
usercpu_time_millis
172.84795699993083
usercpu_time_millis
172.00828800014278
usercpu_time_millis_testing
1.2961879999693338
usercpu_time_millis_testing
1.3050919999386679
usercpu_time_millis_testing
1.339647999884619
usercpu_time_millis_testing
1.3322970000899659
usercpu_time_millis_testing
1.247113000090394
usercpu_time_millis_testing
1.2828139999783161
usercpu_time_millis_testing
1.277025000035792
usercpu_time_millis_testing
1.2961039999481727
usercpu_time_millis_testing
1.2941029999637976
usercpu_time_millis_testing
1.2980139999854146
usercpu_time_millis_training
170.46251599981588
usercpu_time_millis_training
169.45952900005068
usercpu_time_millis_training
165.8429750000323
usercpu_time_millis_training
169.90838800006713
usercpu_time_millis_training
166.1641089999648
usercpu_time_millis_training
170.09368899994115
usercpu_time_millis_training
168.94741799978874
usercpu_time_millis_training
180.47713000009935
usercpu_time_millis_training
171.55385399996703
usercpu_time_millis_training
170.71027400015737
wall_clock_time_millis
174.76177215576172
wall_clock_time_millis
173.48933219909668
wall_clock_time_millis
169.0840721130371
wall_clock_time_millis
173.84767532348633
wall_clock_time_millis
169.77334022521973
wall_clock_time_millis
173.22444915771484
wall_clock_time_millis
172.0907688140869
wall_clock_time_millis
183.70580673217773
wall_clock_time_millis
175.52757263183594
wall_clock_time_millis
173.506498336792
wall_clock_time_millis_testing
1.300811767578125
wall_clock_time_millis_testing
1.3096332550048828
wall_clock_time_millis_testing
1.344442367553711
wall_clock_time_millis_testing
1.336812973022461
wall_clock_time_millis_testing
1.251220703125
wall_clock_time_millis_testing
1.2869834899902344
wall_clock_time_millis_testing
1.2807846069335938
wall_clock_time_millis_testing
1.3010501861572266
wall_clock_time_millis_testing
1.298666000366211
wall_clock_time_millis_testing
1.302480697631836
wall_clock_time_millis_training
173.4609603881836
wall_clock_time_millis_training
172.1796989440918
wall_clock_time_millis_training
167.7396297454834
wall_clock_time_millis_training
172.51086235046387
wall_clock_time_millis_training
168.52211952209473
wall_clock_time_millis_training
171.9374656677246
wall_clock_time_millis_training
170.80998420715332
wall_clock_time_millis_training
182.4047565460205
wall_clock_time_millis_training
174.22890663146973
wall_clock_time_millis_training
172.20401763916016
weighted_recall
0.75 [1,0.833333,0.5,0,0,1,1,0.0]
weighted_recall
0.65 [0.5,0.666667,1,0,0,0.666667,1,0.0]
weighted_recall
0.75 [0.75,1,0.75,0,0,0.666667,1,0.0]
weighted_recall
0.7 [0.75,0.666667,1,0,0,1,1,0]
weighted_recall
0.6842105263157895 [0.5,0.833333,1,1,0.0,0.5,0,0]
weighted_recall
0.6842105263157895 [1,1,0.5,0.0,0.0,0.5,0,0]
weighted_recall
0.6842105263157895 [1,0.833333,0.333333,0.0,0.0,1,0,0]
weighted_recall
0.7368421052631579 [1,0.666667,0.666667,0,0.0,1,0.5,0.0]
weighted_recall
0.6842105263157895 [0.75,0.833333,0.333333,0,0.0,1,0.5,0.0]
weighted_recall
0.7368421052631579 [0.5,1,1,0,0.0,0.333333,1,0.0]