10228461
6138
Felix Neutatz
40
Supervised Classification
predictive_accuracy
12502
sklearn.pipeline.C376be61b409c76(n1=sklearn.compose._column_transformer.C376be61b409433(n2=sklearn.preprocessing._function_transformer.C58aca35ecdafb),c=sklearn.linear_model.logistic.LogisticRegression)(1)
8153704
C
1000
9801
class_weight
"balanced"
9801
dual
false
9801
fit_intercept
true
9801
intercept_scaling
1
9801
max_iter
10000
9801
multi_class
"auto"
9801
n_jobs
null
9801
penalty
"l2"
9801
random_state
56580
9801
solver
"lbfgs"
9801
tol
0.0001
9801
verbose
0
9801
warm_start
false
9801
memory
null
12502
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "n1", "step_name": "n1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]
12502
n_jobs
null
12503
remainder
"drop"
12503
sparse_threshold
0.3
12503
transformer_weights
null
12503
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "n2", "step_name": "n2", "argument_1": [5]}}]
12503
accept_sparse
false
12504
check_inverse
true
12504
func
{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
12504
inv_kw_args
null
12504
inverse_func
null
12504
kw_args
null
12504
pass_y
"deprecated"
12504
validate
false
12504
ComplexityDriven
openml-python
Sklearn_0.20.3.
41
glass
https://www.openml.org/data/download/41/dataset_41_glass.arff
-1
21378171
description
https://api.openml.org/data/download/21378171/description.xml
-1
21378172
predictions
https://api.openml.org/data/download/21378172/predictions.arff
area_under_roc_curve
0.5890940024528489 [0.604563,0.641257,0.595252,0.0,0.629353,0.933875,0.286393]
average_cost
0
f_measure
0.2718510132639625 [0.026667,0.56701,0,0.0,0.333333,0.45,0.166667]
kappa
0.14293946466130747
kb_relative_information_score
0.1028796323802265
mean_absolute_error
0.22271409570136802
mean_prior_absolute_error
0.2115883017477295
number_of_instances
214 [70,76,17,0,13,9,29]
precision
0.28416082427357703 [0.2,0.466102,0,0.0,0.363636,0.290323,0.139535]
predictive_accuracy
0.35046728971962615
prior_entropy
2.1835119304379678
recall
0.35046728971962615 [0.014286,0.723684,0,0.0,0.307692,1,0.206897]
relative_absolute_error
1.0525822735082182
root_mean_prior_squared_error
0.3244481813208947
root_mean_squared_error
0.33801413878762554
root_relative_squared_error
1.0418124010173244
total_cost
0
area_under_roc_curve
0.5847972203235362 [0.557143,0.660714,0.625,0.0,0.190476,0.97619,0.421053]
area_under_roc_curve
0.5638983823194349 [0.738095,0.540179,0.425,0.0,0.428571,0.928571,0.236842]
area_under_roc_curve
0.6718614718614718 [0.604762,0.633929,0.8375,0.0,1,0.97619,0.4125]
area_under_roc_curve
0.6584928229665071 [0.604762,0.834821,0.809524,0.0,0.8,0.928571,0.078947]
area_under_roc_curve
0.526309669166812 [0.561224,0.543269,0.75,0.0,0.5,0.0,0.342593]
area_under_roc_curve
0.6554363625792197 [0.581633,0.769231,0.7,0.0,1,0.95,0.296296]
area_under_roc_curve
0.6140161912718304 [0.515306,0.739796,0.697368,0.0,0.875,0.95,0.296296]
area_under_roc_curve
0.5377630584397503 [0.653061,0.423469,0.434211,0.0,1,1,0.296296]
area_under_roc_curve
0.6987498508175201 [0.867347,0.872449,0.618421,0.0,0.25,0.925,0.027778]
area_under_roc_curve
0.6762352309344791 [0.617347,0.872449,0.723684,0.0,0.4,0.925,0.333333]
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
0.17979797979797982 [0,0.444444,0,0.0,0,0.4,0]
kappa
0.18051575931232094
kappa
-0.00268096514745311
kappa
0.2164383561643836
kappa
0.17204301075268819
kappa
0.07079646017699112
kappa
0.2477611940298507
kappa
0.2409638554216867
kappa
0.08430232558139532
kappa
0.051204819277108404
kappa
0.1923076923076923
kb_relative_information_score
0.09326198024403666
kb_relative_information_score
0.05809806252819336
kb_relative_information_score
0.15954382267469197
kb_relative_information_score
0.1397362358910435
kb_relative_information_score
0.01929064950294824
kb_relative_information_score
0.08707572575005798
kb_relative_information_score
0.11765613127151701
kb_relative_information_score
0.15457061868189156
kb_relative_information_score
0.08350086275736651
kb_relative_information_score
0.10779001458599041
mean_absolute_error
0.22354862039307993
mean_absolute_error
0.2288660009906129
mean_absolute_error
0.2193349093019817
mean_absolute_error
0.21483920738478746
mean_absolute_error
0.23089001087626465
mean_absolute_error
0.2230851180818875
mean_absolute_error
0.22224101296999246
mean_absolute_error
0.21567841885968156
mean_absolute_error
0.22500011739157208
mean_absolute_error
0.22386076194167703
mean_prior_absolute_error
0.21149438796497622
mean_prior_absolute_error
0.21149438796497622
mean_prior_absolute_error
0.2124346241993301
mean_prior_absolute_error
0.2117294470235647
mean_prior_absolute_error
0.2088219903345954
mean_prior_absolute_error
0.20906824268168808
mean_prior_absolute_error
0.21270046480130514
mean_prior_absolute_error
0.21270046480130514
mean_prior_absolute_error
0.21270046480130514
mean_prior_absolute_error
0.21270046480130514
number_of_instances
22 [7,8,2,0,1,1,3]
number_of_instances
22 [7,8,2,0,1,1,3]
number_of_instances
22 [7,8,2,0,2,1,2]
number_of_instances
22 [7,8,1,0,2,1,3]
number_of_instances
21 [7,8,1,0,2,0,3]
number_of_instances
21 [7,8,1,0,1,1,3]
number_of_instances
21 [7,7,2,0,1,1,3]
number_of_instances
21 [7,7,2,0,1,1,3]
number_of_instances
21 [7,7,2,0,1,1,3]
number_of_instances
21 [7,7,2,0,1,1,3]
precision
0.15681818181818183 [0,0.4,0,0.0,0,0.25,0]
predictive_accuracy
0.40909090909090906
predictive_accuracy
0.22727272727272727
predictive_accuracy
0.40909090909090906
predictive_accuracy
0.36363636363636365
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.42857142857142855
predictive_accuracy
0.42857142857142855
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.38095238095238093
prior_entropy
2.1800695153574705
prior_entropy
2.1800695153574705
prior_entropy
2.230048409609785
prior_entropy
2.196549973511321
prior_entropy
2.0884821406069043
prior_entropy
2.1115977038054874
prior_entropy
2.2114482532937054
prior_entropy
2.2114482532937054
prior_entropy
2.2114482532937054
prior_entropy
2.2114482532937054
recall
0.4090909090909091 [0,0.875,0,0.0,0,1,0.333333]
recall
0.22727272727272727 [0,0.5,0,0.0,0,1,0]
recall
0.4090909090909091 [0,0.75,0,0.0,0.5,1,0.5]
recall
0.36363636363636365 [0,0.75,0,0.0,0.5,1,0]
recall
0.2857142857142857 [0.142857,0.5,0,0.0,0,0.0,0.333333]
recall
0.42857142857142855 [0,0.75,0,0.0,1,1,0.333333]
recall
0.42857142857142855 [0,1,0,0.0,0,1,0.333333]
recall
0.2857142857142857 [0,0.571429,0,0.0,1,1,0]
recall
0.2857142857142857 [0,0.714286,0,0.0,0,1,0]
recall
0.38095238095238093 [0,0.857143,0,0.0,0,1,0.333333]
relative_absolute_error
1.0569955190967049
relative_absolute_error
1.0821374656452514
relative_absolute_error
1.0324819229852897
relative_absolute_error
1.0146874249422502
relative_absolute_error
1.1056786237230556
relative_absolute_error
1.0670444981045757
relative_absolute_error
1.0448543832642756
relative_absolute_error
1.0140006937039763
relative_absolute_error
1.0578261669609266
relative_absolute_error
1.0524695474962753
root_mean_prior_squared_error
0.3243034205488469
root_mean_prior_squared_error
0.3243034205488469
root_mean_prior_squared_error
0.3257498193614789
root_mean_prior_squared_error
0.32466562435569113
root_mean_prior_squared_error
0.32015669749249576
root_mean_prior_squared_error
0.32054104775581255
root_mean_prior_squared_error
0.32615760824486556
root_mean_prior_squared_error
0.32615760824486556
root_mean_prior_squared_error
0.32615760824486556
root_mean_prior_squared_error
0.32615760824486556
root_mean_squared_error
0.336231161838601
root_mean_squared_error
0.3504673356001338
root_mean_squared_error
0.328346808487034
root_mean_squared_error
0.33222947905678346
root_mean_squared_error
0.3479192472016726
root_mean_squared_error
0.3357128816306338
root_mean_squared_error
0.3342743895327498
root_mean_squared_error
0.3347909198180873
root_mean_squared_error
0.34086794809965704
root_mean_squared_error
0.3388847977686958
root_relative_squared_error
1.0367795728752036
root_relative_squared_error
1.0806772713251294
root_relative_squared_error
1.0079723424886178
root_relative_squared_error
1.0232973685344822
root_relative_squared_error
1.0867155050218107
root_relative_squared_error
1.047331953211743
root_relative_squared_error
1.024886070668603
root_relative_squared_error
1.0264697537478267
root_relative_squared_error
1.0451019368640562
root_relative_squared_error
1.039021593248486
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
17.958538000000246
usercpu_time_millis
8.552172000000358
usercpu_time_millis
7.284350999999578
usercpu_time_millis
7.227375000000258
usercpu_time_millis
6.564900999999956
usercpu_time_millis
7.718365000000116
usercpu_time_millis
7.145226999999643
usercpu_time_millis
8.438419999999613
usercpu_time_millis
7.903913999999457
usercpu_time_millis
7.187362999999447
usercpu_time_millis_testing
0.6301710000000682
usercpu_time_millis_testing
0.4513570000002076
usercpu_time_millis_testing
0.3769039999999002
usercpu_time_millis_testing
0.36941600000028885
usercpu_time_millis_testing
0.39738099999997445
usercpu_time_millis_testing
0.3893640000001142
usercpu_time_millis_testing
0.3796619999998363
usercpu_time_millis_testing
0.4137459999999926
usercpu_time_millis_testing
0.4109469999997728
usercpu_time_millis_testing
0.4331459999997733
usercpu_time_millis_training
17.328367000000178
usercpu_time_millis_training
8.10081500000015
usercpu_time_millis_training
6.907446999999678
usercpu_time_millis_training
6.857958999999969
usercpu_time_millis_training
6.167519999999982
usercpu_time_millis_training
7.329001000000002
usercpu_time_millis_training
6.765564999999807
usercpu_time_millis_training
8.02467399999962
usercpu_time_millis_training
7.492966999999684
usercpu_time_millis_training
6.754216999999674