10222384
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)
8147816
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
"mse"
9667
init
null
9667
learning_rate
0.023503906351582508
9667
loss
"deviance"
9667
max_depth
29
9667
max_features
0.19861324918548495
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.20609753455585833
9667
min_impurity_split
null
9667
min_samples_leaf
19
9667
min_samples_split
12
9667
min_weight_fraction_leaf
0.03482656129792244
9667
n_estimators
304
9667
n_iter_no_change
1676
9667
presort
"auto"
9667
random_state
22395
9667
subsample
0.26416656948148587
9667
tol
1.0369286858116113e-05
9667
validation_fraction
0.9530297906089256
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
21365684
description
https://api.openml.org/data/download/21365684/description.xml
-1
21365685
predictions
https://api.openml.org/data/download/21365685/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
-7.56959243591206
mean_absolute_error
0.4974240280469988
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
1.007029937892753
root_mean_prior_squared_error
0.49695779405224244
root_mean_squared_error
0.49796685144508923
root_relative_squared_error
1.0020304689954027
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
-0.6971993033076886
kb_relative_information_score
-0.6971993033076886
kb_relative_information_score
-0.6971993033076886
kb_relative_information_score
-0.6971993033076886
kb_relative_information_score
-0.6971993033076886
kb_relative_information_score
-0.6971993033076886
kb_relative_information_score
-0.6971993033076886
kb_relative_information_score
-0.8963991042527439
kb_relative_information_score
-0.8963991042527439
kb_relative_information_score
-0.8963991042527439
mean_absolute_error
0.4976273942538154
mean_absolute_error
0.4976273942538154
mean_absolute_error
0.4976273942538154
mean_absolute_error
0.4976273942538154
mean_absolute_error
0.4976273942538154
mean_absolute_error
0.4976273942538154
mean_absolute_error
0.4976273942538154
mean_absolute_error
0.4969495068977627
mean_absolute_error
0.4969495068977627
mean_absolute_error
0.4969495068977627
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
1.0064686894625214
relative_absolute_error
1.0064686894625214
relative_absolute_error
1.0064686894625214
relative_absolute_error
1.0064686894625214
relative_absolute_error
1.0064686894625214
relative_absolute_error
1.0064686894625214
relative_absolute_error
1.0064686894625214
relative_absolute_error
1.0083437470403878
relative_absolute_error
1.0083437470403878
relative_absolute_error
1.0083437470403878
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
0.4981710061263628
root_mean_squared_error
0.4981710061263628
root_mean_squared_error
0.4981710061263628
root_mean_squared_error
0.4981710061263628
root_mean_squared_error
0.4981710061263628
root_mean_squared_error
0.4981710061263628
root_mean_squared_error
0.4981710061263628
root_mean_squared_error
0.4974901647157458
root_mean_squared_error
0.4974901647157458
root_mean_squared_error
0.4974901647157458
root_relative_squared_error
1.0014735787011741
root_relative_squared_error
1.0014735787011741
root_relative_squared_error
1.0014735787011741
root_relative_squared_error
1.0014735787011741
root_relative_squared_error
1.0014735787011741
root_relative_squared_error
1.0014735787011741
root_relative_squared_error
1.0014735787011741
root_relative_squared_error
1.003337076967275
root_relative_squared_error
1.003337076967275
root_relative_squared_error
1.003337076967275
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
138.5630949989718
usercpu_time_millis
130.49739400230465
usercpu_time_millis
130.55987400002778
usercpu_time_millis
131.57491300080437
usercpu_time_millis
126.69701599952532
usercpu_time_millis
120.50744899897836
usercpu_time_millis
121.06067800414166
usercpu_time_millis
121.68811299852678
usercpu_time_millis
121.22875599743566
usercpu_time_millis
120.77001899888273
usercpu_time_millis_testing
0.8339960004377645
usercpu_time_millis_testing
0.8139480014506262
usercpu_time_millis_testing
0.8502769996994175
usercpu_time_millis_testing
0.8183489990187809
usercpu_time_millis_testing
0.7583509977848735
usercpu_time_millis_testing
0.760429997171741
usercpu_time_millis_testing
0.7538410027336795
usercpu_time_millis_testing
0.7669490005355328
usercpu_time_millis_testing
0.7878549986344296
usercpu_time_millis_testing
0.7625529979122803
usercpu_time_millis_training
137.72909899853403
usercpu_time_millis_training
129.68344600085402
usercpu_time_millis_training
129.70959700032836
usercpu_time_millis_training
130.7565640017856
usercpu_time_millis_training
125.93866500174045
usercpu_time_millis_training
119.74701900180662
usercpu_time_millis_training
120.30683700140798
usercpu_time_millis_training
120.92116399799124
usercpu_time_millis_training
120.44090099880123
usercpu_time_millis_training
120.00746600097045