10226851
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)
8152283
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
"mae"
9667
init
null
9667
learning_rate
0.014309879880553983
9667
loss
"deviance"
9667
max_depth
20
9667
max_features
0.5300270250423468
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.9674659008585845
9667
min_impurity_split
null
9667
min_samples_leaf
7
9667
min_samples_split
18
9667
min_weight_fraction_leaf
0.20317480375646368
9667
n_estimators
224
9667
n_iter_no_change
952
9667
presort
"auto"
9667
random_state
35407
9667
subsample
0.05282358311195767
9667
tol
0.00899272539971997
9667
validation_fraction
0.44316721819121063
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
21374618
description
https://api.openml.org/data/download/21374618/description.xml
-1
21374619
predictions
https://api.openml.org/data/download/21374619/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
-4.091570232401004
mean_absolute_error
0.4901628511395504
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
1.004543478639914
root_mean_prior_squared_error
0.49391365607219145
root_mean_squared_error
0.4941275126409087
root_relative_squared_error
1.0004329837130197
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
-0.3896733554667632
kb_relative_information_score
-0.3896733554667632
kb_relative_information_score
-0.3896733554667632
kb_relative_information_score
-0.3896733554667632
kb_relative_information_score
-0.3896733554667632
kb_relative_information_score
-0.3896733554667632
kb_relative_information_score
-0.3896733554667632
kb_relative_information_score
-0.3896733554667632
kb_relative_information_score
-0.48709169433345395
kb_relative_information_score
-0.48709169433345395
mean_absolute_error
0.490631286799571
mean_absolute_error
0.490631286799571
mean_absolute_error
0.490631286799571
mean_absolute_error
0.490631286799571
mean_absolute_error
0.490631286799571
mean_absolute_error
0.490631286799571
mean_absolute_error
0.490631286799571
mean_absolute_error
0.490631286799571
mean_absolute_error
0.48828910849946383
mean_absolute_error
0.48828910849946383
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
1.004322038190644
relative_absolute_error
1.004322038190644
relative_absolute_error
1.004322038190644
relative_absolute_error
1.004322038190644
relative_absolute_error
1.004322038190644
relative_absolute_error
1.004322038190644
relative_absolute_error
1.004322038190644
relative_absolute_error
1.004322038190644
relative_absolute_error
1.0054344749938293
relative_absolute_error
1.0054344749938293
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
0.49460128832091804
root_mean_squared_error
0.49460128832091804
root_mean_squared_error
0.49460128832091804
root_mean_squared_error
0.49460128832091804
root_mean_squared_error
0.49460128832091804
root_mean_squared_error
0.49460128832091804
root_mean_squared_error
0.49460128832091804
root_mean_squared_error
0.49460128832091804
root_mean_squared_error
0.4922278497897134
root_mean_squared_error
0.4922278497897134
root_relative_squared_error
1.0002161695429195
root_relative_squared_error
1.0002161695429195
root_relative_squared_error
1.0002161695429195
root_relative_squared_error
1.0002161695429195
root_relative_squared_error
1.0002161695429195
root_relative_squared_error
1.0002161695429195
root_relative_squared_error
1.0002161695429195
root_relative_squared_error
1.0002161695429195
root_relative_squared_error
1.0013100608702612
root_relative_squared_error
1.0013100608702612
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
183.73940299352398
usercpu_time_millis
184.02502900426043
usercpu_time_millis
170.82124599255621
usercpu_time_millis
164.39197800355032
usercpu_time_millis
162.51539700169815
usercpu_time_millis
164.44711700023618
usercpu_time_millis
162.48625500156777
usercpu_time_millis
163.4029529959662
usercpu_time_millis
163.72848799801432
usercpu_time_millis
163.70904900395544
usercpu_time_millis_testing
5.16337099543307
usercpu_time_millis_testing
4.978652999852784
usercpu_time_millis_testing
4.445720995136071
usercpu_time_millis_testing
4.487575002713129
usercpu_time_millis_testing
4.401177000545431
usercpu_time_millis_testing
4.381241000373848
usercpu_time_millis_testing
4.3641320007736795
usercpu_time_millis_testing
4.425585000717547
usercpu_time_millis_testing
4.382742001325823
usercpu_time_millis_testing
4.518002999247983
usercpu_time_millis_training
178.5760319980909
usercpu_time_millis_training
179.04637600440765
usercpu_time_millis_training
166.37552499742014
usercpu_time_millis_training
159.9044030008372
usercpu_time_millis_training
158.11422000115272
usercpu_time_millis_training
160.06587599986233
usercpu_time_millis_training
158.1221230007941
usercpu_time_millis_training
158.97736799524864
usercpu_time_millis_training
159.3457459966885
usercpu_time_millis_training
159.19104600470746