10218790
1
Jan van Rijn
14968
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)
8144222
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": [1, 14, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 20, 34, 36]}}]
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
0.0040528741408369885
9667
loss
"deviance"
9667
max_depth
32
9667
max_features
0.9268071512245074
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.7226694773792343
9667
min_impurity_split
null
9667
min_samples_leaf
14
9667
min_samples_split
17
9667
min_weight_fraction_leaf
0.07533321487218597
9667
n_estimators
216
9667
n_iter_no_change
1047
9667
presort
"auto"
9667
random_state
22298
9667
subsample
0.16377098114999378
9667
tol
0.0002355910280297539
9667
validation_fraction
0.6324699801082774
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
6332
cylinder-bands
https://www.openml.org/data/download/1854224/phpAz9Len
-1
21358496
description
https://api.openml.org/data/download/21358496/description.xml
-1
21358497
predictions
https://api.openml.org/data/download/21358497/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
1.2419496260310956
mean_absolute_error
0.4870367041381312
mean_prior_absolute_error
0.48794587945879536
number_of_instances
540 [228,312]
predictive_accuracy
0.5777777777777778
prior_entropy
0.9826037155898315
recall
0.5777777777777777 [0,1]
relative_absolute_error
0.9981367291764559
root_mean_prior_squared_error
0.49391365607219145
root_mean_squared_error
0.4939448403056296
root_relative_squared_error
1.0000631370140403
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
0.11828091676486661
kb_relative_information_score
0.11828091676486661
kb_relative_information_score
0.11828091676486661
kb_relative_information_score
0.11828091676486661
kb_relative_information_score
0.11828091676486661
kb_relative_information_score
0.11828091676486661
kb_relative_information_score
0.11828091676486661
kb_relative_information_score
0.11828091676486661
kb_relative_information_score
0.14785114595608248
kb_relative_information_score
0.14785114595608248
mean_absolute_error
0.4876540039410764
mean_absolute_error
0.4876540039410764
mean_absolute_error
0.4876540039410764
mean_absolute_error
0.4876540039410764
mean_absolute_error
0.4876540039410764
mean_absolute_error
0.4876540039410764
mean_absolute_error
0.4876540039410764
mean_absolute_error
0.4876540039410764
mean_absolute_error
0.48456750492634565
mean_absolute_error
0.48456750492634565
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.4856498564985656
mean_prior_absolute_error
0.4856498564985656
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [22,32]
number_of_instances
54 [22,32]
predictive_accuracy
0.5740740740740741
predictive_accuracy
0.5740740740740741
predictive_accuracy
0.5740740740740741
predictive_accuracy
0.5740740740740741
predictive_accuracy
0.5740740740740741
predictive_accuracy
0.5740740740740741
predictive_accuracy
0.5740740740740741
predictive_accuracy
0.5740740740740741
predictive_accuracy
0.5925925925925926
predictive_accuracy
0.5925925925925926
prior_entropy
0.9826037155898315
prior_entropy
0.9826037155898315
prior_entropy
0.9826037155898315
prior_entropy
0.9826037155898315
prior_entropy
0.9826037155898315
prior_entropy
0.9826037155898315
prior_entropy
0.9826037155898315
prior_entropy
0.9826037155898315
prior_entropy
0.9826037155898315
prior_entropy
0.9826037155898315
recall
0.5740740740740741 [0,1]
recall
0.5740740740740741 [0,1]
recall
0.5740740740740741 [0,1]
recall
0.5740740740740741 [0,1]
recall
0.5740740740740741 [0,1]
recall
0.5740740740740741 [0,1]
recall
0.5740740740740741 [0,1]
recall
0.5740740740740741 [0,1]
recall
0.5925925925925926 [0,1]
recall
0.5925925925925926 [0,1]
relative_absolute_error
0.9982275414286896
relative_absolute_error
0.9982275414286896
relative_absolute_error
0.9982275414286896
relative_absolute_error
0.9982275414286896
relative_absolute_error
0.9982275414286896
relative_absolute_error
0.9982275414286896
relative_absolute_error
0.9982275414286896
relative_absolute_error
0.9982275414286896
relative_absolute_error
0.9977713334870033
relative_absolute_error
0.9977713334870033
root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.4915838450298872
root_mean_prior_squared_error
0.4915838450298872
root_mean_squared_error
0.4945693127029826
root_mean_squared_error
0.4945693127029826
root_mean_squared_error
0.4945693127029826
root_mean_squared_error
0.4945693127029826
root_mean_squared_error
0.4945693127029826
root_mean_squared_error
0.4945693127029826
root_mean_squared_error
0.4945693127029826
root_mean_squared_error
0.4945693127029826
root_mean_squared_error
0.49143901559885317
root_mean_squared_error
0.49143901559885317
root_relative_squared_error
1.0001515062861805
root_relative_squared_error
1.0001515062861805
root_relative_squared_error
1.0001515062861805
root_relative_squared_error
1.0001515062861805
root_relative_squared_error
1.0001515062861805
root_relative_squared_error
1.0001515062861805
root_relative_squared_error
1.0001515062861805
root_relative_squared_error
1.0001515062861805
root_relative_squared_error
0.9997053820370658
root_relative_squared_error
0.9997053820370658
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
193.38583699936862
usercpu_time_millis
194.32442700053798
usercpu_time_millis
178.58686999898055
usercpu_time_millis
178.51258800146752
usercpu_time_millis
177.61489999611513
usercpu_time_millis
177.9674099998374
usercpu_time_millis
177.88060499879066
usercpu_time_millis
179.13856300219777
usercpu_time_millis
177.9555920002167
usercpu_time_millis
178.50122199888574
usercpu_time_millis_testing
5.240498001512606
usercpu_time_millis_testing
5.25338700026623
usercpu_time_millis_testing
4.87243699899409
usercpu_time_millis_testing
4.948614001477836
usercpu_time_millis_testing
4.813289997400716
usercpu_time_millis_testing
4.880388998572016
usercpu_time_millis_testing
4.8939939988486
usercpu_time_millis_testing
4.920105002383934
usercpu_time_millis_testing
4.790065999259241
usercpu_time_millis_testing
4.909740997391054
usercpu_time_millis_training
188.14533899785602
usercpu_time_millis_training
189.07104000027175
usercpu_time_millis_training
173.71443299998646
usercpu_time_millis_training
173.56397399998968
usercpu_time_millis_training
172.8016099987144
usercpu_time_millis_training
173.08702100126538
usercpu_time_millis_training
172.98661099994206
usercpu_time_millis_training
174.21845799981384
usercpu_time_millis_training
173.16552600095747
usercpu_time_millis_training
173.59148100149469