10222574
1
Jan van Rijn
14967
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)
8148006
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": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 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
"mse"
9667
init
null
9667
learning_rate
0.00016163361975917055
9667
loss
"deviance"
9667
max_depth
7
9667
max_features
0.9107516675220252
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.4259705969932486
9667
min_impurity_split
null
9667
min_samples_leaf
9
9667
min_samples_split
10
9667
min_weight_fraction_leaf
0.06466071432885956
9667
n_estimators
839
9667
n_iter_no_change
1736
9667
presort
"auto"
9667
random_state
9492
9667
subsample
0.6869610525131652
9667
tol
0.00010819687552213621
9667
validation_fraction
0.3773263257918048
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
21366064
description
https://api.openml.org/data/download/21366064/description.xml
-1
21366065
predictions
https://api.openml.org/data/download/21366065/predictions.arff
area_under_roc_curve
0.5000299308720907 [0.497917,0.500179,0.500567,0.499954,0.503906,0.497239]
average_cost
0
kappa
0
kb_relative_information_score
91.51324116006215
mean_absolute_error
0.2765586008302069
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
predictive_accuracy
0.24320457796852646
prior_entropy
2.5206634795042744
recall
0.24320457796852646 [0,0,1,0,0,0]
relative_absolute_error
1.0134807592595667
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.37124519480143114
root_relative_squared_error
1.0050747307664305
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
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
9.251661251593902
kb_relative_information_score
9.251661251593902
kb_relative_information_score
9.251661251593902
kb_relative_information_score
9.251661251593902
kb_relative_information_score
9.001836081148241
kb_relative_information_score
9.151217256675853
kb_relative_information_score
9.088385703965734
kb_relative_information_score
9.088385703965734
kb_relative_information_score
9.088385703965734
kb_relative_information_score
9.088385703965734
mean_absolute_error
0.2765850597977001
mean_absolute_error
0.2765850597977001
mean_absolute_error
0.2765850597977001
mean_absolute_error
0.2765850597977001
mean_absolute_error
0.2765616078669421
mean_absolute_error
0.2765773318263068
mean_absolute_error
0.2765265930409795
mean_absolute_error
0.2765265930409795
mean_absolute_error
0.2765265930409795
mean_absolute_error
0.2765265930409795
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
relative_absolute_error
1.0134848287637563
relative_absolute_error
1.0134848287637563
relative_absolute_error
1.0134848287637563
relative_absolute_error
1.0134848287637563
relative_absolute_error
1.0137729447779702
relative_absolute_error
1.0135622335565178
relative_absolute_error
1.0133829437307478
relative_absolute_error
1.0133829437307478
relative_absolute_error
1.0133829437307478
relative_absolute_error
1.0133829437307478
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.3712729024617849
root_mean_squared_error
0.3712729024617849
root_mean_squared_error
0.3712729024617849
root_mean_squared_error
0.3712729024617849
root_mean_squared_error
0.3712413179747643
root_mean_squared_error
0.3712624949156657
root_mean_squared_error
0.3712140175274912
root_mean_squared_error
0.3712140175274912
root_mean_squared_error
0.3712140175274912
root_mean_squared_error
0.3712140175274912
root_relative_squared_error
1.0050576245777059
root_relative_squared_error
1.0050576245777059
root_relative_squared_error
1.0050576245777059
root_relative_squared_error
1.0050576245777059
root_relative_squared_error
1.0053431123091618
root_relative_squared_error
1.0051342937638303
root_relative_squared_error
1.0050096449692234
root_relative_squared_error
1.0050096449692234
root_relative_squared_error
1.0050096449692234
root_relative_squared_error
1.0050096449692234
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
9537.77796400027
usercpu_time_millis
9484.441240001615
usercpu_time_millis
9513.49752600072
usercpu_time_millis
9553.003166998678
usercpu_time_millis
9485.388668999803
usercpu_time_millis
9469.051960997604
usercpu_time_millis
9451.074198001152
usercpu_time_millis
9496.287228004803
usercpu_time_millis
9484.34123300467
usercpu_time_millis
9458.406911999191
usercpu_time_millis_testing
6.354443998134229
usercpu_time_millis_testing
6.043460001819767
usercpu_time_millis_testing
6.327864000923
usercpu_time_millis_testing
6.079816997953458
usercpu_time_millis_testing
7.316275998164201
usercpu_time_millis_testing
6.071986997994827
usercpu_time_millis_testing
6.354575998557266
usercpu_time_millis_testing
6.10762600263115
usercpu_time_millis_testing
6.33097000172711
usercpu_time_millis_testing
6.117547000030754
usercpu_time_millis_training
9531.423520002136
usercpu_time_millis_training
9478.397779999796
usercpu_time_millis_training
9507.169661999797
usercpu_time_millis_training
9546.923350000725
usercpu_time_millis_training
9478.07239300164
usercpu_time_millis_training
9462.979973999609
usercpu_time_millis_training
9444.719622002594
usercpu_time_millis_training
9490.179602002172
usercpu_time_millis_training
9478.010263002943
usercpu_time_millis_training
9452.28936499916