10554602
8323
Heinrich Peters
9977
Supervised Classification
18607
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)),logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275814
copy
true
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true
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true
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add_indicator
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true
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fill_value
null
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missing_values
NaN
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strategy
"most_frequent"
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verbose
0
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categorical_features
null
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categories
null
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drop
null
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dtype
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handle_unknown
"ignore"
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n_values
null
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sparse
true
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C
500
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class_weight
null
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dual
false
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fit_intercept
true
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intercept_scaling
1
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l1_ratio
null
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max_iter
100
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multi_class
"warn"
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n_jobs
null
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penalty
"l2"
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random_state
1
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solver
"lbfgs"
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tol
0.0001
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verbose
0
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warm_start
false
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n_jobs
null
18299
remainder
"drop"
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sparse_threshold
0.3
18299
transformer_weights
null
18299
transformers
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18299
verbose
false
18299
memory
null
18300
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
18300
verbose
false
18300
memory
null
18301
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
18301
verbose
false
18301
memory
null
18607
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": "logisticregression", "step_name": "logisticregression"}}]
18607
verbose
false
18607
openml-python
Sklearn_0.21.2.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
22034159
description
https://api.openml.org/data/download/22034159/description.xml
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22034160
predictions
https://api.openml.org/data/download/22034160/predictions.arff
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average_cost
0
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number_of_instances
34465 [9844,24621]
precision
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predictive_accuracy
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total_cost
0
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0.9876930605481452 [0.987693,0.987693]
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area_under_roc_curve
0.9883388933102962 [0.988339,0.988339]
area_under_roc_curve
0.988370644971073 [0.988371,0.988371]
area_under_roc_curve
0.9887129902980589 [0.988713,0.988713]
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area_under_roc_curve
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area_under_roc_curve
0.9880352083374613 [0.988035,0.988035]
area_under_roc_curve
0.9869248347235707 [0.986925,0.986925]
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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
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0.9515446901657569 [0.915185,0.966091]
f_measure
0.947514486797487 [0.908262,0.963219]
f_measure
0.9472532354868543 [0.906749,0.963442]
f_measure
0.9484699951788093 [0.910282,0.963733]
f_measure
0.9531999287118477 [0.917731,0.967376]
f_measure
0.9520072304816823 [0.915515,0.966592]
f_measure
0.9467975373984112 [0.905307,0.96338]
kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
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mean_absolute_error
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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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unweighted_recall
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usercpu_time_millis_training
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wall_clock_time_millis_training
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weighted_recall
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weighted_recall
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weighted_recall
0.9474905715114592 [0.909645,0.962632]
weighted_recall
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weighted_recall
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weighted_recall
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weighted_recall
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weighted_recall
0.947185142193848 [0.884146,0.97238]