10398491
8323
Heinrich Peters
14965
Supervised Classification
16374
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)),svc=sklearn.svm.classes.SVC)(2)
8236260
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
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strategy
"most_frequent"
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verbose
0
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copy
true
13294
with_mean
true
13294
with_std
true
13294
C
0.6945819136497673
13389
cache_size
200
13389
class_weight
null
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coef0
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decision_function_shape
"ovr"
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degree
3
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gamma
0.05994234861688584
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kernel
"poly"
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max_iter
-1
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probability
false
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random_state
1
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shrinking
true
13389
tol
0.001
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verbose
false
13389
categorical_features
null
16348
categories
null
16348
drop
null
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16348
handle_unknown
"ignore"
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n_values
null
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sparse
true
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memory
null
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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": "svc", "step_name": "svc"}}]
16374
verbose
false
16374
n_jobs
null
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remainder
"drop"
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sparse_threshold
0.3
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transformer_weights
null
16375
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, false, false, false, true, false, false, false, true, false, true, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, true, true, true, false, true, true, true, false, true, false, false, false, false, true]}}]
16375
verbose
false
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memory
null
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steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
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verbose
false
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memory
null
16377
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
16377
verbose
false
16377
openml-python
Sklearn_0.21.2.
1461
bank-marketing
https://www.openml.org/data/download/1586218/phpkIxskf
-1
21718736
description
https://api.openml.org/data/download/21718736/description.xml
-1
21718737
predictions
https://api.openml.org/data/download/21718737/predictions.arff
area_under_roc_curve
0.6667708995104265 [0.666771,0.666771]
average_cost
0
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0.41956448223827386
kb_relative_information_score
0.40034280356737
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0.09533078233173342
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0.2066116987839826
number_of_instances
45211 [39922,5289]
precision
0.8911645336688692 [0.919735,0.675511]
predictive_accuracy
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prior_entropy
0.520631223257915
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0.3214021785344237
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0.3087568336599749
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0
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0.6646866391184573 [0.664687,0.664687]
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0.6766245155717863 [0.676625,0.676625]
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0.6657265381424474 [0.665727,0.665727]
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area_under_roc_curve
0.6469481969610298 [0.646948,0.646948]
area_under_roc_curve
0.6673095718847902 [0.66731,0.66731]
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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
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0.8896406066865492 [0.946524,0.459459]
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f_measure
0.8913307123648947 [0.947803,0.465174]
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0.8892821524748782 [0.946114,0.460414]
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0.8848988712073494 [0.945635,0.426564]
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f_measure
0.8968905363834352 [0.950473,0.492537]
f_measure
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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
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kb_relative_information_score
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0.3837186553213454
kb_relative_information_score
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kb_relative_information_score
0.39206558098290745
kb_relative_information_score
0.4324090550137923
kb_relative_information_score
0.4115417408598874
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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number_of_instances
4522 [3993,529]
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4521 [3992,529]
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4521 [3992,529]
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4521 [3992,529]
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4521 [3992,529]
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4521 [3992,529]
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4521 [3992,529]
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4521 [3992,529]
precision
0.8868738094024823 [0.918396,0.648936]
precision
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precision
0.8961982729536407 [0.921916,0.702128]
precision
0.8914352543106785 [0.919454,0.68]
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precision
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precision
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0.9015922158337019 [0.975207,0.345936]
recall
0.902676399026764 [0.975207,0.354167]
recall
0.9082061490820615 [0.978958,0.374291]
recall
0.904888299048883 [0.977956,0.353497]
recall
0.907100199071002 [0.978206,0.37051]
recall
0.9020128290201282 [0.974198,0.357278]
recall
0.9006856890068569 [0.978206,0.31569]
recall
0.9033399690333996 [0.975451,0.359168]
recall
0.9097544790975448 [0.980711,0.374291]
recall
0.9064366290643663 [0.979208,0.357278]
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