10398603
8323
Heinrich Peters
219
Supervised Classification
16374
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)(2)
8236372
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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copy
true
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with_mean
true
13294
with_std
true
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C
2.8860777764167715
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cache_size
200
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class_weight
null
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coef0
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decision_function_shape
"ovr"
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degree
1
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gamma
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kernel
"rbf"
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max_iter
-1
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probability
false
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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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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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memory
null
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steps
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16374
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
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, false, false, false, false, false]}}]
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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"}}]
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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": "onehotencoder", "step_name": "onehotencoder"}}]
16377
verbose
false
16377
openml-python
Sklearn_0.21.2.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
21718989
description
https://api.openml.org/data/download/21718989/description.xml
-1
21718990
predictions
https://api.openml.org/data/download/21718990/predictions.arff
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0.7495709525492457 [0.749571,0.749571]
average_cost
0
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0
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4531 [1924,2607]
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recall
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recall
0.7720150077245641 [0.627339,0.878788]
recall
0.7704700949017876 [0.609667,0.889145]
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0.7792981681747958 [0.633056,0.887227]
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0.7770911498565438 [0.617265,0.894939]
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