10330631
8323
Heinrich Peters
14970
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8186200
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
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copy
true
13294
with_mean
true
13294
with_std
true
13294
C
326.31131040223244
13389
cache_size
200
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class_weight
null
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coef0
-0.5116187321824732
13389
decision_function_shape
"ovr"
13389
degree
4
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gamma
0.00010216486460066312
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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
28940
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shrinking
true
13389
tol
0.001
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verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
1478
har
https://www.openml.org/data/download/1589271/php88ZB4Q
-1
21582961
description
https://api.openml.org/data/download/21582961/description.xml
-1
21582962
predictions
https://api.openml.org/data/download/21582962/predictions.arff
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average_cost
0
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0.27709458719152297
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10299 [1722,1544,1406,1777,1906,1944]
precision
0.9856322145552762 [0.998258,0.99806,0.999288,0.957983,0.965208,1]
predictive_accuracy
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relative_absolute_error
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0
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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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recall
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recall
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recall
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recall
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recall
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