10554621
8323
Heinrich Peters
9977
Supervised Classification
18607
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)),logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275824
copy
true
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true
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with_std
true
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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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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
15.0
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class_weight
null
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dual
true
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fit_intercept
true
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intercept_scaling
1
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l1_ratio
null
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max_iter
100
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multi_class
"warn"
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n_jobs
null
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penalty
"l2"
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random_state
1
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solver
"liblinear"
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tol
0.0001
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verbose
0
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warm_start
false
17462
n_jobs
null
18299
remainder
"drop"
18299
sparse_threshold
0.3
18299
transformer_weights
null
18299
transformers
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18299
verbose
false
18299
memory
null
18300
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
18300
verbose
false
18300
memory
null
18301
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
18301
verbose
false
18301
memory
null
18607
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": "logisticregression", "step_name": "logisticregression"}}]
18607
verbose
false
18607
openml-python
Sklearn_0.21.2.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
22034197
description
https://api.openml.org/data/download/22034197/description.xml
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22034198
predictions
https://api.openml.org/data/download/22034198/predictions.arff
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0.987023371838403 [0.987023,0.987023]
average_cost
0
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kb_relative_information_score
0.8321644299428462
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0.4080904194746198
weighted_recall
0.9475990134919483 [0.917208,0.95975]
number_of_instances
34465 [9844,24621]
precision
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predictive_accuracy
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total_cost
0
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0.9384791294620514 [0.917208,0.95975]
area_under_roc_curve
0.9865109308827559 [0.986511,0.986511]
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area_under_roc_curve
0.987663861249366 [0.987664,0.987664]
area_under_roc_curve
0.9879652958471302 [0.987965,0.987965]
area_under_roc_curve
0.9880504811343809 [0.98805,0.98805]
area_under_roc_curve
0.9866660227325261 [0.986666,0.986666]
area_under_roc_curve
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area_under_roc_curve
0.9864034957368257 [0.986403,0.986403]
area_under_roc_curve
0.9863205272995054 [0.986321,0.986321]
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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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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
0.9485158513823604 [0.90937,0.964177]
f_measure
0.9424667329452736 [0.900151,0.959379]
f_measure
0.9467411357274201 [0.908552,0.962005]
f_measure
0.9521242822809113 [0.917413,0.965998]
f_measure
0.948308806660929 [0.910545,0.963402]
f_measure
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
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0.8262218303823582
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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mean_absolute_error
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number_of_instances
3447 [984,2463]
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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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predictive_accuracy
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unweighted_recall
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usercpu_time_millis
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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weighted_recall
0.9535828256454888 [0.908629,0.971568]
weighted_recall
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weighted_recall
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weighted_recall
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weighted_recall
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weighted_recall
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weighted_recall
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