10326829
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)
8182499
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
11359.242791856965
13389
cache_size
200
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class_weight
null
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coef0
0.0
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decision_function_shape
"ovr"
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degree
3
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gamma
0.0016376271890052845
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
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random_state
33122
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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
21575344
description
https://api.openml.org/data/download/21575344/description.xml
-1
21575345
predictions
https://api.openml.org/data/download/21575345/predictions.arff
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0.9940022432440987 [0.99878,0.998857,0.999251,0.985694,0.984095,0.999426]
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0
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10299 [1722,1544,1406,1777,1906,1944]
precision
0.9901053596905233 [0.999418,0.998057,0.995042,0.970933,0.979915,0.999485]
predictive_accuracy
0.9900961258374599
prior_entropy
2.575922879508845
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relative_absolute_error
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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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area_under_roc_curve
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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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prior_entropy
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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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recall
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recall
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recall
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recall
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