10553058
8323
Heinrich Peters
219
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)
8275722
copy
true
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with_mean
true
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with_std
true
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add_indicator
false
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copy
true
17407
fill_value
null
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missing_values
NaN
17407
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"}
17408
handle_unknown
"ignore"
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n_values
null
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sparse
true
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C
0.1
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class_weight
null
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dual
false
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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
10000
17462
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
"lbfgs"
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tol
0.0001
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verbose
0
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warm_start
false
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n_jobs
null
18299
remainder
"drop"
18299
sparse_threshold
0.3
18299
transformer_weights
null
18299
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]}}]
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.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
22031071
description
https://api.openml.org/data/download/22031071/description.xml
-1
22031072
predictions
https://api.openml.org/data/download/22031072/predictions.arff
area_under_roc_curve
0.8273375069047139 [0.827338,0.827338]
average_cost
0
f_measure
0.7562001779591021 [0.688684,0.806011]
kappa
0.49819874374688405
kb_relative_information_score
0.352371252816738
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0.4886137014923867
weighted_recall
0.7609683968926554 [0.622758,0.862934]
number_of_instances
45312 [19237,26075]
precision
0.7621134069431621 [0.77022,0.756133]
predictive_accuracy
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prior_entropy
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0.4055142090925782
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0.8204242278404819
total_cost
0
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0.7428460355067393 [0.622758,0.862934]
area_under_roc_curve
0.828338241202505 [0.828338,0.828338]
area_under_roc_curve
0.8235110183921533 [0.823511,0.823511]
area_under_roc_curve
0.8142710294609029 [0.814271,0.814271]
area_under_roc_curve
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area_under_roc_curve
0.8284924962140152 [0.828492,0.828492]
area_under_roc_curve
0.8218858630251036 [0.821886,0.821886]
area_under_roc_curve
0.8414429965062876 [0.841443,0.841443]
area_under_roc_curve
0.8349159273119392 [0.834916,0.834916]
area_under_roc_curve
0.8206646057253334 [0.820665,0.820665]
area_under_roc_curve
0.831995994563709 [0.831996,0.831996]
average_cost
0
average_cost
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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0.7574963238358042 [0.689893,0.807369]
f_measure
0.7584741748007288 [0.692264,0.80732]
f_measure
0.7465215890156224 [0.675512,0.798928]
f_measure
0.7553795249752234 [0.690517,0.803249]
f_measure
0.7512276121758086 [0.679837,0.803915]
f_measure
0.75596925581901 [0.68674,0.807061]
f_measure
0.7699000978750672 [0.709513,0.814467]
f_measure
0.7623547693009874 [0.695878,0.811371]
f_measure
0.7500403335882532 [0.679572,0.802]
f_measure
0.7544642665174539 [0.686584,0.804515]
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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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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kb_relative_information_score
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kb_relative_information_score
0.355109175819366
kb_relative_information_score
0.35426273343009707
kb_relative_information_score
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kb_relative_information_score
0.36751387861210993
kb_relative_information_score
0.361948322255476
kb_relative_information_score
0.34365968630171245
kb_relative_information_score
0.3580857190849379
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
4532 [1924,2608]
number_of_instances
4532 [1924,2608]
number_of_instances
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4531 [1924,2607]
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number_of_instances
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precision
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precision
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precision
0.7526286100164028 [0.758911,0.747992]
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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predictive_accuracy
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relative_absolute_error
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root_mean_prior_squared_error
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total_cost
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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
0.7488402220137885 [0.627665,0.870015]
unweighted_recall
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unweighted_recall
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usercpu_time_millis
344.2080000004353
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376.8239999999423
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usercpu_time_millis
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usercpu_time_millis_testing
7.085999999617343
usercpu_time_millis_testing
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usercpu_time_millis_testing
7.391999999526888
usercpu_time_millis_testing
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usercpu_time_millis_testing
7.201999999779218
usercpu_time_millis_testing
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usercpu_time_millis_testing
7.004000000051747
usercpu_time_millis_training
333.48800000021583
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
353.68599999947037
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
377.16999999975087
usercpu_time_millis_training
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usercpu_time_millis_training
359.6959999995306
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
101.32169723510742
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
2.2192001342773438
wall_clock_time_millis_testing
2.9489994049072266
wall_clock_time_millis_testing
1.7888545989990234
wall_clock_time_millis_testing
1.79290771484375
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
1.7619132995605469
wall_clock_time_millis_testing
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1.7840862274169922
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1.809835433959961
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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weighted_recall
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weighted_recall
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weighted_recall
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weighted_recall
0.7594350033105275 [0.632017,0.853471]
weighted_recall
0.756786581328625 [0.608108,0.866513]
weighted_recall
0.7612006179651291 [0.616424,0.868048]
weighted_recall
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weighted_recall
0.7671595674244096 [0.627665,0.870015]
weighted_recall
0.7552416685058486 [0.611544,0.861196]
weighted_recall
0.7592143014787023 [0.621425,0.860813]