10559338
8323
Heinrich Peters
219
Supervised Classification
18298
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)(4)
8276070
copy
true
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true
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true
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null
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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
9947.045017657287
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cache_size
200
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class_weight
null
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coef0
0.13893166748012198
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decision_function_shape
"ovr"
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degree
2
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gamma
9.972833450436674e-05
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kernel
"poly"
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max_iter
-1
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probability
true
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random_state
1
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shrinking
true
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tol
0.001
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verbose
false
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memory
null
18298
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"}}]
18298
verbose
false
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n_jobs
null
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remainder
"drop"
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sparse_threshold
0.3
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transformer_weights
null
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transformers
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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"}}]
18300
verbose
false
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memory
null
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steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
18301
verbose
false
18301
openml-python
Sklearn_0.21.2.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
22043641
description
https://api.openml.org/data/download/22043641/description.xml
-1
22043642
predictions
https://api.openml.org/data/download/22043642/predictions.arff
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0
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0.773680261299435 [0.649322,0.865427]
number_of_instances
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precision
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predictive_accuracy
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total_cost
0
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area_under_roc_curve
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area_under_roc_curve
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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
0.7701200382362562 [0.707163,0.816583]
f_measure
0.7702721698687929 [0.708796,0.815642]
f_measure
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f_measure
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f_measure
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kb_relative_information_score
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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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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
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weighted_recall
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weighted_recall
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weighted_recall
0.7828293974839992 [0.667879,0.867664]
weighted_recall
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weighted_recall
0.7687044802471861 [0.633905,0.868098]
weighted_recall
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