10226870
1
Jan van Rijn
125923
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)
8152302
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": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_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
"median"
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
"mae"
9667
init
null
9667
learning_rate
1.1450236597814275e-05
9667
loss
"deviance"
9667
max_depth
19
9667
max_features
0.232106500258761
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.6384629514930232
9667
min_impurity_split
null
9667
min_samples_leaf
1
9667
min_samples_split
13
9667
min_weight_fraction_leaf
0.0867998090239801
9667
n_estimators
561
9667
n_iter_no_change
631
9667
presort
"auto"
9667
random_state
35443
9667
subsample
0.12585887571413867
9667
tol
0.011908580392895983
9667
validation_fraction
0.4516125172765211
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
40509
Australian
https://www.openml.org/data/download/4599631/phpjP8PU3
-1
21374656
description
https://api.openml.org/data/download/21374656/description.xml
-1
21374657
predictions
https://api.openml.org/data/download/21374657/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
-2.6564823153911363
mean_absolute_error
0.4951432342942287
mean_prior_absolute_error
0.49395157912373167
number_of_instances
690 [383,307]
predictive_accuracy
0.5550724637681159
prior_entropy
0.9912816166382369
recall
0.5550724637681159 [1,0]
relative_absolute_error
1.002412493897906
root_mean_prior_squared_error
0.49695779405224244
root_mean_squared_error
0.49707901119459597
root_relative_squared_error
1.0002439183846281
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
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
-0.24467600273339404
kb_relative_information_score
-0.24467600273339404
kb_relative_information_score
-0.24467600273339404
kb_relative_information_score
-0.24467600273339404
kb_relative_information_score
-0.24467600273339404
kb_relative_information_score
-0.24467600273339404
kb_relative_information_score
-0.24467600273339404
kb_relative_information_score
-0.3145834320857946
kb_relative_information_score
-0.3145834320857946
kb_relative_information_score
-0.3145834320857946
mean_absolute_error
0.4955266631657372
mean_absolute_error
0.4955266631657372
mean_absolute_error
0.4955266631657372
mean_absolute_error
0.4955266631657372
mean_absolute_error
0.4955266631657372
mean_absolute_error
0.4955266631657372
mean_absolute_error
0.4955266631657372
mean_absolute_error
0.4942485669273764
mean_absolute_error
0.4942485669273764
mean_absolute_error
0.4942485669273764
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.49442908603501656
mean_prior_absolute_error
0.4928373963307357
mean_prior_absolute_error
0.4928373963307357
mean_prior_absolute_error
0.4928373963307357
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [38,31]
number_of_instances
69 [39,30]
number_of_instances
69 [39,30]
number_of_instances
69 [39,30]
predictive_accuracy
0.5507246376811594
predictive_accuracy
0.5507246376811594
predictive_accuracy
0.5507246376811594
predictive_accuracy
0.5507246376811594
predictive_accuracy
0.5507246376811594
predictive_accuracy
0.5507246376811594
predictive_accuracy
0.5507246376811594
predictive_accuracy
0.5652173913043478
predictive_accuracy
0.5652173913043478
predictive_accuracy
0.5652173913043478
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
recall
0.5507246376811594 [1,0]
recall
0.5507246376811594 [1,0]
recall
0.5507246376811594 [1,0]
recall
0.5507246376811594 [1,0]
recall
0.5507246376811594 [1,0]
recall
0.5507246376811594 [1,0]
recall
0.5507246376811594 [1,0]
recall
0.5652173913043478 [1,0]
recall
0.5652173913043478 [1,0]
recall
0.5652173913043478 [1,0]
relative_absolute_error
1.002219887870114
relative_absolute_error
1.002219887870114
relative_absolute_error
1.002219887870114
relative_absolute_error
1.002219887870114
relative_absolute_error
1.002219887870114
relative_absolute_error
1.002219887870114
relative_absolute_error
1.002219887870114
relative_absolute_error
1.0028633594105218
relative_absolute_error
1.0028633594105218
relative_absolute_error
1.0028633594105218
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4974379920960552
root_mean_prior_squared_error
0.4958355234110141
root_mean_prior_squared_error
0.4958355234110141
root_mean_prior_squared_error
0.4958355234110141
root_mean_squared_error
0.49746454370307097
root_mean_squared_error
0.49746454370307097
root_mean_squared_error
0.49746454370307097
root_mean_squared_error
0.49746454370307097
root_mean_squared_error
0.49746454370307097
root_mean_squared_error
0.49746454370307097
root_mean_squared_error
0.49746454370307097
root_mean_squared_error
0.49617827038610207
root_mean_squared_error
0.49617827038610207
root_mean_squared_error
0.49617827038610207
root_relative_squared_error
1.0000533767171742
root_relative_squared_error
1.0000533767171742
root_relative_squared_error
1.0000533767171742
root_relative_squared_error
1.0000533767171742
root_relative_squared_error
1.0000533767171742
root_relative_squared_error
1.0000533767171742
root_relative_squared_error
1.0000533767171742
root_relative_squared_error
1.0006912513503068
root_relative_squared_error
1.0006912513503068
root_relative_squared_error
1.0006912513503068
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
346.84630099945934
usercpu_time_millis
337.8920469986042
usercpu_time_millis
284.1603210035828
usercpu_time_millis
256.4971870087902
usercpu_time_millis
255.8580830009305
usercpu_time_millis
268.7443690010696
usercpu_time_millis
258.4027669945499
usercpu_time_millis
255.6635599976289
usercpu_time_millis
258.81344500521664
usercpu_time_millis
256.2246980087366
usercpu_time_millis_testing
0.9149300021817908
usercpu_time_millis_testing
0.9136779990512878
usercpu_time_millis_testing
0.8707450033398345
usercpu_time_millis_testing
0.7002830025157891
usercpu_time_millis_testing
0.7157040017773397
usercpu_time_millis_testing
0.7646459998795763
usercpu_time_millis_testing
0.6828529949416406
usercpu_time_millis_testing
0.6916999991517514
usercpu_time_millis_testing
1.0034529987024143
usercpu_time_millis_testing
0.7818260055501014
usercpu_time_millis_training
345.93137099727755
usercpu_time_millis_training
336.9783689995529
usercpu_time_millis_training
283.28957600024296
usercpu_time_millis_training
255.79690400627442
usercpu_time_millis_training
255.14237899915315
usercpu_time_millis_training
267.97972300119
usercpu_time_millis_training
257.71991399960825
usercpu_time_millis_training
254.97185999847716
usercpu_time_millis_training
257.8099920065142
usercpu_time_millis_training
255.4428720031865