10554596
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)
8275822
copy
true
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true
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true
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add_indicator
false
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copy
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
0.01
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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
"liblinear"
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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
22034147
description
https://api.openml.org/data/download/22034147/description.xml
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22034148
predictions
https://api.openml.org/data/download/22034148/predictions.arff
area_under_roc_curve
0.9861427481167114 [0.986143,0.986143]
average_cost
0
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0.9449556306737025 [0.903044,0.961713]
kappa
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kb_relative_information_score
0.7881553607347425
mean_absolute_error
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0.4080904194746198
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0.9451037284201363 [0.895063,0.965111]
number_of_instances
34465 [9844,24621]
precision
0.9448655869053608 [0.911169,0.958338]
predictive_accuracy
0.9451037284201363
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total_cost
0
unweighted_recall
0.9300870332806913 [0.895063,0.965111]
area_under_roc_curve
0.9848798807720112 [0.98488,0.98488]
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area_under_roc_curve
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area_under_roc_curve
0.9866379114829676 [0.986638,0.986638]
area_under_roc_curve
0.9859562816743433 [0.985956,0.985956]
area_under_roc_curve
0.9870036753779398 [0.987004,0.987004]
area_under_roc_curve
0.9850681579520914 [0.985068,0.985068]
area_under_roc_curve
0.9893684822307199 [0.989368,0.989368]
area_under_roc_curve
0.9861058825860395 [0.986106,0.986106]
area_under_roc_curve
0.9860608897518707 [0.986061,0.986061]
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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f_measure
0.940763715976133 [0.89613,0.958621]
f_measure
0.9479828665772478 [0.908627,0.963728]
f_measure
0.9422066826746136 [0.898625,0.959643]
f_measure
0.942478984753484 [0.897875,0.960306]
f_measure
0.9469830892490567 [0.907529,0.962752]
f_measure
0.9481852218985067 [0.908624,0.963997]
f_measure
0.9464723962123756 [0.905738,0.962753]
f_measure
0.9441202282063188 [0.900365,0.961608]
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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kappa
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kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
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0.7769044411648407
kb_relative_information_score
0.7886538247981687
kb_relative_information_score
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kb_relative_information_score
0.7871564569625893
kb_relative_information_score
0.7837715367392984
kb_relative_information_score
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kb_relative_information_score
0.7934494847929043
kb_relative_information_score
0.7873383991362018
mean_absolute_error
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number_of_instances
3447 [984,2463]
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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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predictive_accuracy
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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
0.9243001756784424 [0.877033,0.971568]
usercpu_time_millis
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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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
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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
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