10326855
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)
8182525
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
8.027999527330278
13389
cache_size
200
13389
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
0.0018226101930636821
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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
40885
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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
21575396
description
https://api.openml.org/data/download/21575396/description.xml
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21575397
predictions
https://api.openml.org/data/download/21575397/predictions.arff
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0.9926638736963036 [0.99849,0.998533,0.998913,0.983806,0.980446,0.998397]
average_cost
0
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precision
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predictive_accuracy
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relative_absolute_error
0.01460043038299935
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total_cost
0
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area_under_roc_curve
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kappa
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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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prior_entropy
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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
0.9864077669902913 [1,0.993506,1,0.983051,0.958115,0.989744]
recall
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relative_absolute_error
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