10554553
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)
8275821
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
1000
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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
10000
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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
22034061
description
https://api.openml.org/data/download/22034061/description.xml
-1
22034062
predictions
https://api.openml.org/data/download/22034062/predictions.arff
area_under_roc_curve
0.988111241430241 [0.988111,0.988111]
average_cost
0
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kappa
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weighted_recall
0.9494559698244596 [0.907964,0.966045]
number_of_instances
34465 [9844,24621]
precision
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predictive_accuracy
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total_cost
0
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0.9370047440531245 [0.907964,0.966045]
area_under_roc_curve
0.9877566025964767 [0.987757,0.987757]
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0.987558297286264 [0.987558,0.987558]
area_under_roc_curve
0.986580181190646 [0.98658,0.98658]
area_under_roc_curve
0.9885834223342006 [0.988583,0.988583]
area_under_roc_curve
0.9885075482357211 [0.988508,0.988508]
area_under_roc_curve
0.988924745563459 [0.988925,0.988925]
area_under_roc_curve
0.9875014860018625 [0.987501,0.987501]
area_under_roc_curve
0.9909345630824302 [0.990935,0.990935]
area_under_roc_curve
0.9881871107500677 [0.988187,0.988187]
area_under_roc_curve
0.9868856207855335 [0.986886,0.986886]
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0
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0
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0
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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f_measure
0.9478123585984802 [0.908815,0.963415]
f_measure
0.9487511799658269 [0.909558,0.964416]
f_measure
0.9484699951788093 [0.910282,0.963733]
f_measure
0.9534978409946188 [0.918284,0.967572]
f_measure
0.9537379007384786 [0.918503,0.96782]
f_measure
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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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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
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kb_relative_information_score
0.8383958430210336
kb_relative_information_score
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kb_relative_information_score
0.8214554839743555
mean_absolute_error
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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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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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wall_clock_time_millis_training
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weighted_recall
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weighted_recall
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weighted_recall
0.9477806788511749 [0.91066,0.962632]
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
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