10554540
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)
8275807
copy
true
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with_mean
true
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with_std
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
{"oml-python:serialized_object": "type", "value": "np.float64"}
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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
224.662208931
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class_weight
null
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dual
true
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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
785
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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
22034035
description
https://api.openml.org/data/download/22034035/description.xml
-1
22034036
predictions
https://api.openml.org/data/download/22034036/predictions.arff
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0.9846519806706071 [0.984652,0.984652]
average_cost
0
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kappa
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kb_relative_information_score
0.8317743882486203
mean_absolute_error
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mean_prior_absolute_error
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0.9457420571594372 [0.895876,0.96568]
number_of_instances
34465 [9844,24621]
precision
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predictive_accuracy
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prior_entropy
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total_cost
0
unweighted_recall
0.9307776823090717 [0.895876,0.96568]
area_under_roc_curve
0.977674872668337 [0.977675,0.977675]
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area_under_roc_curve
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area_under_roc_curve
0.9875826264808852 [0.987583,0.987583]
area_under_roc_curve
0.9876630365309041 [0.987663,0.987663]
area_under_roc_curve
0.9860910225674151 [0.986091,0.986091]
area_under_roc_curve
0.9831615350069016 [0.983162,0.983162]
area_under_roc_curve
0.987001198708169 [0.987001,0.987001]
area_under_roc_curve
0.986120329826369 [0.98612,0.98612]
area_under_roc_curve
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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
0.9481413222182465 [0.90955,0.963581]
f_measure
0.9478798922380098 [0.906904,0.964257]
f_measure
0.9440026343186436 [0.900826,0.961259]
f_measure
0.9532900541652184 [0.917098,0.967755]
f_measure
0.949420051607356 [0.909943,0.965198]
f_measure
0.9394105962042852 [0.890774,0.958849]
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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kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0.8446525251725024
kb_relative_information_score
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kb_relative_information_score
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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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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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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
0.9483608935306064 [0.93198,0.954915]
weighted_recall
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weighted_recall
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weighted_recall
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weighted_recall
0.9535693557748114 [0.89939,0.975223]
weighted_recall
0.9497968659315148 [0.888211,0.974411]
weighted_recall
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