10226102
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)
8151534
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
"mean"
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
0.0037066245755973237
9667
loss
"deviance"
9667
max_depth
8
9667
max_features
0.1254666410612647
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.39523874566477046
9667
min_impurity_split
null
9667
min_samples_leaf
20
9667
min_samples_split
9
9667
min_weight_fraction_leaf
0.0005893793759368382
9667
n_estimators
175
9667
n_iter_no_change
1663
9667
presort
"auto"
9667
random_state
25186
9667
subsample
0.12310886672171628
9667
tol
5.53843754551925e-05
9667
validation_fraction
0.9711328251031754
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
21373120
description
https://api.openml.org/data/download/21373120/description.xml
-1
21373121
predictions
https://api.openml.org/data/download/21373121/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
19.689838336818735
mean_absolute_error
0.48204275315265566
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
0.9758907016914447
root_mean_prior_squared_error
0.49695779405224244
root_mean_squared_error
0.5085493872888525
root_relative_squared_error
1.0233251060257875
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
1.8135377415490965
kb_relative_information_score
1.8135377415490965
kb_relative_information_score
1.8135377415490965
kb_relative_information_score
1.8135377415490965
kb_relative_information_score
1.8135377415490965
kb_relative_information_score
1.8135377415490965
kb_relative_information_score
1.8135377415490965
kb_relative_information_score
2.331691381991696
kb_relative_information_score
2.331691381991696
kb_relative_information_score
2.331691381991696
mean_absolute_error
0.4834604305353403
mean_absolute_error
0.4834604305353403
mean_absolute_error
0.4834604305353403
mean_absolute_error
0.4834604305353403
mean_absolute_error
0.4834604305353403
mean_absolute_error
0.4834604305353403
mean_absolute_error
0.4834604305353403
mean_absolute_error
0.4787348392597233
mean_absolute_error
0.4787348392597233
mean_absolute_error
0.4787348392597233
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
0.977815513266751
relative_absolute_error
0.977815513266751
relative_absolute_error
0.977815513266751
relative_absolute_error
0.977815513266751
relative_absolute_error
0.977815513266751
relative_absolute_error
0.977815513266751
relative_absolute_error
0.977815513266751
relative_absolute_error
0.9713849696147077
relative_absolute_error
0.9713849696147077
relative_absolute_error
0.9713849696147077
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
0.5099413267176427
root_mean_squared_error
0.5099413267176427
root_mean_squared_error
0.5099413267176427
root_mean_squared_error
0.5099413267176427
root_mean_squared_error
0.5099413267176427
root_mean_squared_error
0.5099413267176427
root_mean_squared_error
0.5099413267176427
root_mean_squared_error
0.5052866170985856
root_mean_squared_error
0.5052866170985856
root_mean_squared_error
0.5052866170985856
root_relative_squared_error
1.0251354637568035
root_relative_squared_error
1.0251354637568035
root_relative_squared_error
1.0251354637568035
root_relative_squared_error
1.0251354637568035
root_relative_squared_error
1.0251354637568035
root_relative_squared_error
1.0251354637568035
root_relative_squared_error
1.0251354637568035
root_relative_squared_error
1.019060945094362
root_relative_squared_error
1.019060945094362
root_relative_squared_error
1.019060945094362
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
90.93344699795125
usercpu_time_millis
80.76892099779798
usercpu_time_millis
80.77845799562056
usercpu_time_millis
81.01677800004836
usercpu_time_millis
80.77149900054792
usercpu_time_millis
81.03367699368391
usercpu_time_millis
80.9523360003368
usercpu_time_millis
78.6447360078455
usercpu_time_millis
74.66542199836113
usercpu_time_millis
75.17105199804064
usercpu_time_millis_testing
0.7853569986764342
usercpu_time_millis_testing
0.7736999978078529
usercpu_time_millis_testing
0.7789699957356788
usercpu_time_millis_testing
0.775104999775067
usercpu_time_millis_testing
0.7920119969639927
usercpu_time_millis_testing
0.7902009965619072
usercpu_time_millis_testing
0.774685999203939
usercpu_time_millis_testing
0.7048410043353215
usercpu_time_millis_testing
0.7136999993235804
usercpu_time_millis_testing
0.713866000296548
usercpu_time_millis_training
90.14808999927482
usercpu_time_millis_training
79.99522099999012
usercpu_time_millis_training
79.99948799988488
usercpu_time_millis_training
80.2416730002733
usercpu_time_millis_training
79.97948700358393
usercpu_time_millis_training
80.243475997122
usercpu_time_millis_training
80.17765000113286
usercpu_time_millis_training
77.93989500351017
usercpu_time_millis_training
73.95172199903755
usercpu_time_millis_training
74.45718599774409