10224526
1
Jan van Rijn
14967
Supervised Classification
9666
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4)
8149958
copy
true
9559
fill_value
-1
9559
missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 1]}}]
9606
memory
null
9607
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"most_frequent"
9608
verbose
0
9608
copy
true
9609
with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
categorical_features
null
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
memory
null
9666
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
criterion
"mse"
9667
init
null
9667
learning_rate
0.026352958590544026
9667
loss
"deviance"
9667
max_depth
17
9667
max_features
0.7960472801986426
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.6672841829729755
9667
min_impurity_split
null
9667
min_samples_leaf
10
9667
min_samples_split
14
9667
min_weight_fraction_leaf
0.34581033717802057
9667
n_estimators
504
9667
n_iter_no_change
1935
9667
presort
"auto"
9667
random_state
21946
9667
subsample
0.9905363724156822
9667
tol
0.0034299762484584456
9667
validation_fraction
0.4991832136173553
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
21369968
description
https://api.openml.org/data/download/21369968/description.xml
-1
21369969
predictions
https://api.openml.org/data/download/21369969/predictions.arff
area_under_roc_curve
0.49820016392057437 [0.497917,0.498985,0.499433,0.499447,0.496094,0.495618]
average_cost
0
kappa
0
kb_relative_information_score
20.954527458113063
mean_absolute_error
0.2730575173686245
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
predictive_accuracy
0.24320457796852646
prior_entropy
2.5206634795042744
recall
0.24320457796852646 [0,0,1,0,0,0]
relative_absolute_error
1.0006506367675378
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.3694413359097325
root_relative_squared_error
1.000191130883382
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
2.0719412638960417
kb_relative_information_score
2.0719412638960417
kb_relative_information_score
2.0719412638960417
kb_relative_information_score
2.0719412638960417
kb_relative_information_score
1.9885447996356151
kb_relative_information_score
1.9770663425695707
kb_relative_information_score
2.175287815080736
kb_relative_information_score
2.175287815080736
kb_relative_information_score
2.175287815080736
kb_relative_information_score
2.175287815080736
mean_absolute_error
0.27304923139529813
mean_absolute_error
0.27304923139529813
mean_absolute_error
0.27304923139529813
mean_absolute_error
0.27304923139529813
mean_absolute_error
0.27295495889274246
mean_absolute_error
0.2730162482168671
mean_absolute_error
0.27310191882546414
mean_absolute_error
0.27310191882546414
mean_absolute_error
0.27310191882546414
mean_absolute_error
0.27310191882546414
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
relative_absolute_error
1.0005285669701243
relative_absolute_error
1.0005285669701243
relative_absolute_error
1.0005285669701243
relative_absolute_error
1.0005285669701243
relative_absolute_error
1.0005522986457929
relative_absolute_error
1.00051206840657
relative_absolute_error
1.0008325904367936
relative_absolute_error
1.0008325904367936
relative_absolute_error
1.0008325904367936
relative_absolute_error
1.0008325904367936
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.36947378796176256
root_mean_squared_error
0.36947378796176256
root_mean_squared_error
0.36947378796176256
root_mean_squared_error
0.36947378796176256
root_mean_squared_error
0.3693108403929161
root_mean_squared_error
0.3694173241066019
root_mean_squared_error
0.3694475253590521
root_mean_squared_error
0.3694475253590521
root_mean_squared_error
0.3694475253590521
root_mean_squared_error
0.3694475253590521
root_relative_squared_error
1.0001873156115892
root_relative_squared_error
1.0001873156115892
root_relative_squared_error
1.0001873156115892
root_relative_squared_error
1.0001873156115892
root_relative_squared_error
1.000115266575379
root_relative_squared_error
1.0001387865864535
root_relative_squared_error
1.0002271163382501
root_relative_squared_error
1.0002271163382501
root_relative_squared_error
1.0002271163382501
root_relative_squared_error
1.0002271163382501
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
4183.775904999493
usercpu_time_millis
4065.4881700029364
usercpu_time_millis
4071.558997999091
usercpu_time_millis
4081.614869999612
usercpu_time_millis
4092.977639997116
usercpu_time_millis
4119.734473995777
usercpu_time_millis
4065.6270350009436
usercpu_time_millis
4184.79920900063
usercpu_time_millis
4097.874041999603
usercpu_time_millis
4057.1008149963745
usercpu_time_millis_testing
4.7363199992105365
usercpu_time_millis_testing
4.607374001352582
usercpu_time_millis_testing
4.725407998193987
usercpu_time_millis_testing
4.533674000413157
usercpu_time_millis_testing
4.798072997800773
usercpu_time_millis_testing
4.661924998799805
usercpu_time_millis_testing
4.732420999062015
usercpu_time_millis_testing
4.7138999980234075
usercpu_time_millis_testing
4.8468150016560685
usercpu_time_millis_testing
4.640741997718578
usercpu_time_millis_training
4179.039585000282
usercpu_time_millis_training
4060.880796001584
usercpu_time_millis_training
4066.833590000897
usercpu_time_millis_training
4077.081195999199
usercpu_time_millis_training
4088.1795669993153
usercpu_time_millis_training
4115.072548996977
usercpu_time_millis_training
4060.8946140018816
usercpu_time_millis_training
4180.085309002607
usercpu_time_millis_training
4093.027226997947
usercpu_time_millis_training
4052.460072998656