10398475
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)
8236247
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
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copy
true
13294
with_mean
true
13294
with_std
true
13294
C
18251.600704338267
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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
13389
gamma
9.624749700615554e-05
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kernel
"rbf"
13389
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
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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
16348
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
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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
21718702
description
https://api.openml.org/data/download/21718702/description.xml
-1
21718703
predictions
https://api.openml.org/data/download/21718703/predictions.arff
area_under_roc_curve
0.7557540956618926 [0.755754,0.755754]
average_cost
0
f_measure
0.8448120815646131 [0.648927,0.906427]
kappa
0.557568820111463
kb_relative_information_score
0.5425285213885384
mean_absolute_error
0.14776217190123256
mean_prior_absolute_error
0.3640575712202595
number_of_instances
48842 [11687,37155]
precision
0.8451717272600856 [0.751973,0.874487]
predictive_accuracy
0.8522378280987675
prior_entropy
0.7938438398153179
recall
0.8522378280987675 [0.57072,0.940789]
relative_absolute_error
0.4058758382800795
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0.426645054364785
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0.3843984546030753
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0.900979516041481
total_cost
0
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0.7495284304526423 [0.749528,0.749528]
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0.7582511434151533 [0.758251,0.758251]
area_under_roc_curve
0.7548162702567204 [0.754816,0.754816]
area_under_roc_curve
0.758191622307091 [0.758192,0.758192]
area_under_roc_curve
0.7546204307179616 [0.75462,0.75462]
area_under_roc_curve
0.7506252252272997 [0.750625,0.750625]
area_under_roc_curve
0.7475502753385749 [0.74755,0.74755]
area_under_roc_curve
0.7593438387597042 [0.759344,0.759344]
area_under_roc_curve
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area_under_roc_curve
0.7639620202010898 [0.763962,0.763962]
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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0.843399177511581 [0.641509,0.906911]
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0.8462436773310726 [0.652764,0.907109]
f_measure
0.8458096568520372 [0.648968,0.90768]
f_measure
0.8446786416609517 [0.650962,0.905567]
f_measure
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f_measure
0.8388801051676903 [0.638155,0.902042]
f_measure
0.8400240958298157 [0.63623,0.904152]
f_measure
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f_measure
0.8478086895381941 [0.656659,0.907958]
f_measure
0.8492749430669883 [0.661213,0.908453]
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kappa
0.5619731708160112
kappa
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kappa
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kappa
0.5562655031892276
kappa
0.5420878288426799
kappa
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kappa
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kappa
0.5666469602078038
kappa
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kb_relative_information_score
0.5424346829216679
kb_relative_information_score
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kb_relative_information_score
0.5472638031192179
kb_relative_information_score
0.5396547914069355
kb_relative_information_score
0.5421911286443626
kb_relative_information_score
0.5227399668387599
kb_relative_information_score
0.5303457044190193
kb_relative_information_score
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kb_relative_information_score
0.5506276712997084
kb_relative_information_score
0.5537967286248169
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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number_of_instances
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number_of_instances
4885 [1169,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1169,3715]
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4884 [1169,3715]
number_of_instances
4884 [1169,3715]
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4884 [1169,3715]
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4884 [1169,3715]
precision
0.8451669612643918 [0.764497,0.870545]
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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prior_entropy
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recall
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recall
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recall
0.8538083538083538 [0.565068,0.944564]
recall
0.8513513513513513 [0.579623,0.93676]
recall
0.8521703521703522 [0.567637,0.941604]
recall
0.8458230958230958 [0.568007,0.933244]
recall
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recall
0.8546273546273546 [0.576561,0.942127]
recall
0.8548321048321048 [0.579983,0.941319]
recall
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relative_absolute_error
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