10398514
8323
Heinrich Peters
7592
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)
8236283
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
1.68536554317688
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.2168646578884883
13389
decision_function_shape
"ovr"
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degree
3
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gamma
0.0008080068502590277
13389
kernel
"rbf"
13389
max_iter
-1
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probability
false
13389
random_state
1
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
categorical_features
null
16348
categories
null
16348
drop
null
16348
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16348
handle_unknown
"ignore"
16348
n_values
null
16348
sparse
true
16348
memory
null
16374
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
16375
remainder
"drop"
16375
sparse_threshold
0.3
16375
transformer_weights
null
16375
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, false, true, false, false, false, false, false, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, true, false, true, true, true, true, true, false, false, false, true]}}]
16375
verbose
false
16375
memory
null
16376
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
16376
verbose
false
16376
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.
1590
adult
https://www.openml.org/data/download/1595261/phpMawTba
-1
21718783
description
https://api.openml.org/data/download/21718783/description.xml
-1
21718784
predictions
https://api.openml.org/data/download/21718784/predictions.arff
area_under_roc_curve
0.7441650037537092 [0.744165,0.744165]
average_cost
0
f_measure
0.8393033239144354 [0.63206,0.904491]
kappa
0.5396522307124749
kb_relative_information_score
0.5304847939482819
mean_absolute_error
0.15165226649195365
mean_prior_absolute_error
0.3640575712202595
number_of_instances
48842 [11687,37155]
precision
0.8407284461959669 [0.753434,0.868187]
predictive_accuracy
0.8483477335080464
prior_entropy
0.7938438398153179
recall
0.8483477335080464 [0.544366,0.943964]
relative_absolute_error
0.41656122130255624
root_mean_prior_squared_error
0.426645054364785
root_mean_squared_error
0.38942555962847847
root_relative_squared_error
0.9127623902925087
total_cost
0
area_under_roc_curve
0.739825515814442 [0.739826,0.739826]
area_under_roc_curve
0.7426225896661237 [0.742623,0.742623]
area_under_roc_curve
0.7479305520739638 [0.747931,0.747931]
area_under_roc_curve
0.745361598124364 [0.745362,0.745362]
area_under_roc_curve
0.7377418272704485 [0.737742,0.737742]
area_under_roc_curve
0.7382363133759398 [0.738236,0.738236]
area_under_roc_curve
0.7362232274539557 [0.736223,0.736223]
area_under_roc_curve
0.7531254353435026 [0.753125,0.753125]
area_under_roc_curve
0.7471374113914068 [0.747137,0.747137]
area_under_roc_curve
0.7534425093285837 [0.753443,0.753443]
average_cost
0
average_cost
0
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0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.8377863505337335 [0.626131,0.90437]
f_measure
0.8383067050557264 [0.629538,0.903982]
f_measure
0.844098652769055 [0.640523,0.908086]
f_measure
0.8389466158504596 [0.632824,0.903734]
f_measure
0.8351904700089093 [0.621379,0.902395]
f_measure
0.8333385307087227 [0.620384,0.900349]
f_measure
0.8341910344714155 [0.619,0.901905]
f_measure
0.844946244748957 [0.646624,0.907352]
f_measure
0.841449297425548 [0.637221,0.905714]
f_measure
0.8447089825209574 [0.646683,0.907022]
kappa
0.5341448195843649
kappa
0.5366950222013895
kappa
0.5520944228248351
kappa
0.5393234527761528
kappa
0.5271663330584769
kappa
0.52359044378273
kappa
0.5244025588355042
kappa
0.5566720462805463
kappa
0.5459668902874515
kappa
0.5562935228585667
kb_relative_information_score
0.5284922494372866
kb_relative_information_score
0.527858502460724
kb_relative_information_score
0.5466297188098617
kb_relative_information_score
0.5276071895291558
kb_relative_information_score
0.5193640935075166
kb_relative_information_score
0.5113313604683724
kb_relative_information_score
0.517035663653567
kb_relative_information_score
0.5455571795795369
kb_relative_information_score
0.5366838190692348
kb_relative_information_score
0.5442895566494937
mean_absolute_error
0.15230296827021494
mean_absolute_error
0.15250767656090072
mean_absolute_error
0.1463963963963964
mean_absolute_error
0.15253890253890254
mean_absolute_error
0.1552006552006552
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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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
4885 [1169,3716]
number_of_instances
4885 [1169,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
precision
0.8400874142509047 [0.758831,0.86565]
precision
0.8397511786958667 [0.751781,0.867425]
precision
0.8469658912336557 [0.775883,0.869308]
precision
0.839691357233781 [0.745645,0.869252]
precision
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precision
0.8336436361698522 [0.730858,0.865987]
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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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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prior_entropy
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prior_entropy
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prior_entropy
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recall
0.847697031729785 [0.532934,0.946717]
recall
0.8474923234390993 [0.541488,0.943757]
recall
0.8536036036036037 [0.545377,0.950484]
recall
0.8474610974610974 [0.549658,0.941066]
recall
0.8447993447993448 [0.532534,0.942949]
recall
0.8421375921375921 [0.538922,0.93755]
recall
0.8439803439803439 [0.529512,0.942934]
recall
0.8531941031941032 [0.561163,0.945087]
recall
0.8503276003276004 [0.549187,0.945087]
recall
0.8527846027846028 [0.562874,0.944011]
relative_absolute_error
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relative_absolute_error
0.4188975425833536
relative_absolute_error
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total_cost
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