10435744
10963
Nelly Palacios
14970
Supervised Classification
17488
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=xgboost.sklearn.XGBClassifier)(1)
8259290
add_indicator
false
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copy
true
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fill_value
-1
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missing_values
NaN
17407
strategy
"constant"
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verbose
0
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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
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booster
"gbtree"
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colsample_bylevel
1
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colsample_bynode
1
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colsample_bytree
1
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gamma
0
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learning_rate
0.1
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max_delta_step
0
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max_depth
3
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min_child_weight
1
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missing
null
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n_estimators
100
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n_jobs
1
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nthread
null
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objective
"multi:softprob"
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random_state
42
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reg_alpha
0
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reg_lambda
1
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scale_pos_weight
1
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seed
null
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silent
null
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subsample
1
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verbosity
1
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openml-python
Sklearn_0.21.2.
1478
har
https://www.openml.org/data/download/1589271/php88ZB4Q
-1
21794392
description
https://api.openml.org/data/download/21794392/description.xml
-1
21794393
predictions
https://api.openml.org/data/download/21794393/predictions.arff
area_under_roc_curve
0.9996725686327567 [0.999976,0.999959,0.999946,0.9991,0.999178,0.999988]
average_cost
0
f_measure
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kappa
0.9821291689456296
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mean_absolute_error
0.013558581706165076
mean_prior_absolute_error
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0.9851441887561899 [0.993612,0.993523,0.990754,0.96511,0.970619,0.999486]
number_of_instances
10299 [1722,1544,1406,1777,1906,1944]
precision
0.9851448343135414 [0.995346,0.987766,0.992872,0.967833,0.969094,1]
predictive_accuracy
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prior_entropy
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0.171558686339296
total_cost
0
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0.985517289441721 [0.993612,0.993523,0.990754,0.96511,0.970619,0.999486]
area_under_roc_curve
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0.9995855601004326 [0.999966,1,0.999992,0.998839,0.998883,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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0
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0
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0
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f_measure
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f_measure
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f_measure
0.9844449033553092 [0.991254,0.990291,0.992958,0.965318,0.969231,1]
f_measure
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0.9873788047064224 [0.997101,0.996764,1,0.966292,0.968421,1]
f_measure
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f_measure
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f_measure
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kb_relative_information_score
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
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number_of_instances
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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unweighted_recall
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unweighted_recall
0.9878595522881713 [0.994186,1,0.992857,0.966292,0.973822,1]
unweighted_recall
0.9882638568153462 [0.994186,0.987097,0.985714,0.988764,0.973822,1]
unweighted_recall
0.9847346594188465 [0.988372,0.987097,1,0.938202,0.994737,1]
unweighted_recall
0.9777958858361187 [0.982659,0.993506,0.978723,0.938202,0.973684,1]
unweighted_recall
0.9881554734403718 [0.99422,1,1,0.966292,0.968421,1]
unweighted_recall
0.9893801886161531 [0.988372,1,0.985816,0.983146,0.978947,1]
unweighted_recall
0.9870574539223989 [1,0.993506,0.992908,0.983051,0.95288,1]
unweighted_recall
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unweighted_recall
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usercpu_time_millis
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wall_clock_time_millis_training
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wall_clock_time_millis_training
119382.30156898499
weighted_recall
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weighted_recall
0.987378640776699 [0.994186,1,0.992857,0.966292,0.973822,1]
weighted_recall
0.9883495145631068 [0.994186,0.987097,0.985714,0.988764,0.973822,1]
weighted_recall
0.9844660194174757 [0.988372,0.987097,1,0.938202,0.994737,1]
weighted_recall
0.9776699029126213 [0.982659,0.993506,0.978723,0.938202,0.973684,1]
weighted_recall
0.987378640776699 [0.99422,1,1,0.966292,0.968421,1]
weighted_recall
0.9893203883495145 [0.988372,1,0.985816,0.983146,0.978947,1]
weighted_recall
0.9864077669902913 [1,0.993506,0.992908,0.983051,0.95288,1]
weighted_recall
0.9805825242718447 [0.994186,0.993506,0.985816,0.960452,0.958115,0.994872]
weighted_recall
0.9834791059280855 [1,1,1,0.960452,0.947644,1]