10398483
8323
Heinrich Peters
7592
Supervised Classification
16374
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(2)
8236252
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
4268.510636410245
13389
cache_size
200
13389
class_weight
null
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coef0
0.0
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decision_function_shape
"ovr"
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degree
3
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gamma
0.0061078893286028715
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kernel
"rbf"
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max_iter
-1
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probability
false
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random_state
1
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shrinking
true
13389
tol
0.001
13389
verbose
false
13389
categorical_features
null
16348
categories
null
16348
drop
null
16348
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16348
handle_unknown
"ignore"
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n_values
null
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sparse
true
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memory
null
16374
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16374
verbose
false
16374
n_jobs
null
16375
remainder
"drop"
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sparse_threshold
0.3
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transformer_weights
null
16375
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, false, true, false, false, false, false, false, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, true, false, true, true, true, true, true, false, false, false, true]}}]
16375
verbose
false
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memory
null
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steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
16376
verbose
false
16376
memory
null
16377
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
16377
verbose
false
16377
openml-python
Sklearn_0.21.2.
1590
adult
https://www.openml.org/data/download/1595261/phpMawTba
-1
21718718
description
https://api.openml.org/data/download/21718718/description.xml
-1
21718719
predictions
https://api.openml.org/data/download/21718719/predictions.arff
area_under_roc_curve
0.7665163052750662 [0.766516,0.766516]
average_cost
0
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0.847981767066076 [0.662038,0.90647]
kappa
0.5697933820551514
kb_relative_information_score
0.5463951917772526
mean_absolute_error
0.1465132467957905
mean_prior_absolute_error
0.3640575712202595
number_of_instances
48842 [11687,37155]
precision
0.8470756278908914 [0.7388,0.881133]
predictive_accuracy
0.8534867532042095
prior_entropy
0.7938438398153179
recall
0.8534867532042095 [0.599726,0.933306]
relative_absolute_error
0.4024452679412842
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0.426645054364785
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0.3827704884075972
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0.897163776989022
total_cost
0
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0.7680262264951874 [0.768026,0.768026]
area_under_roc_curve
0.7668107580011436 [0.766811,0.766811]
area_under_roc_curve
0.7625212889098604 [0.762521,0.762521]
area_under_roc_curve
0.7681840467729331 [0.768184,0.768184]
area_under_roc_curve
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area_under_roc_curve
0.7623411895685652 [0.762341,0.762341]
area_under_roc_curve
0.7557817646767607 [0.755782,0.755782]
area_under_roc_curve
0.7669172326372059 [0.766917,0.766917]
area_under_roc_curve
0.7660618006440494 [0.766062,0.766062]
area_under_roc_curve
0.7794407339905844 [0.779441,0.779441]
average_cost
0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0.8507493906971603 [0.666349,0.908759]
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f_measure
0.8465053032599201 [0.656816,0.906128]
f_measure
0.8484132643045228 [0.663846,0.906426]
f_measure
0.8503205399757124 [0.666667,0.908046]
f_measure
0.8433256224887559 [0.653558,0.90304]
f_measure
0.8415185062065373 [0.645684,0.903142]
f_measure
0.8495566083356574 [0.664129,0.907905]
f_measure
0.849071965691684 [0.662857,0.907668]
f_measure
0.8549488989495186 [0.680614,0.909807]
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0.5766231077733459
kappa
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kappa
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kappa
0.5714235220133815
kappa
0.5760282837210772
kappa
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kappa
0.550449177684474
kappa
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kappa
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kappa
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kb_relative_information_score
0.5563771164060484
kb_relative_information_score
0.5354634661794759
kb_relative_information_score
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kb_relative_information_score
0.5466297188098594
kb_relative_information_score
0.5536046462127844
kb_relative_information_score
0.5309795158840392
kb_relative_information_score
0.5290780814889757
kb_relative_information_score
0.5525291056947731
kb_relative_information_score
0.5512614827647299
kb_relative_information_score
0.5645715235301825
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_prior_absolute_error
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number_of_instances
4885 [1169,3716]
number_of_instances
4885 [1169,3716]
number_of_instances
4884 [1168,3716]
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4884 [1168,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
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4884 [1169,3715]
precision
0.8503776704881598 [0.752422,0.881193]
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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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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recall
0.8567041965199591 [0.597947,0.938105]
recall
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recall
0.8525798525798526 [0.589897,0.935145]
recall
0.8536036036036037 [0.604452,0.931916]
recall
0.8558558558558559 [0.60274,0.935414]
recall
0.8484848484848485 [0.597092,0.927591]
recall
0.8478705978705978 [0.579127,0.932436]
recall
0.8554463554463555 [0.597092,0.936743]
recall
0.855036855036855 [0.595381,0.936743]
recall
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