10221343
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)
8146775
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
"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
0.021846544593924034
9667
loss
"deviance"
9667
max_depth
1
9667
max_features
0.6960212653554464
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.6902292427380671
9667
min_impurity_split
null
9667
min_samples_leaf
12
9667
min_samples_split
9
9667
min_weight_fraction_leaf
0.014735703480293905
9667
n_estimators
1279
9667
n_iter_no_change
1533
9667
presort
"auto"
9667
random_state
40849
9667
subsample
0.03368464591675924
9667
tol
0.00010111245107729654
9667
validation_fraction
0.23433103814569078
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
21363602
description
https://api.openml.org/data/download/21363602/description.xml
-1
21363603
predictions
https://api.openml.org/data/download/21363603/predictions.arff
area_under_roc_curve
0.49982662345980805 [0.497917,0.499343,0.500567,0.499834,0.503906,0.496429]
average_cost
0
kappa
0
kb_relative_information_score
14.034281744193121
mean_absolute_error
0.2727087607992781
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
0.9993725782597319
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.3694001403511115
root_relative_squared_error
1.0000796018573648
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
1.056259655954159
kb_relative_information_score
1.056259655954159
kb_relative_information_score
1.056259655954159
kb_relative_information_score
1.056259655954159
kb_relative_information_score
1.058686756964996
kb_relative_information_score
1.0761589159726497
kb_relative_information_score
1.9185993618597181
kb_relative_information_score
1.9185993618597181
kb_relative_information_score
1.9185993618597181
kb_relative_information_score
1.9185993618597181
mean_absolute_error
0.2726882442555952
mean_absolute_error
0.2726882442555952
mean_absolute_error
0.2726882442555952
mean_absolute_error
0.2726882442555952
mean_absolute_error
0.2725862670655605
mean_absolute_error
0.27265962314146647
mean_absolute_error
0.27277241251840195
mean_absolute_error
0.27277241251840195
mean_absolute_error
0.27277241251840195
mean_absolute_error
0.27277241251840195
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
0.9992058093716649
relative_absolute_error
0.9992058093716649
relative_absolute_error
0.9992058093716649
relative_absolute_error
0.9992058093716649
relative_absolute_error
0.9992008102658958
relative_absolute_error
0.9992051583081232
relative_absolute_error
0.9996250535132869
relative_absolute_error
0.9996250535132869
relative_absolute_error
0.9996250535132869
relative_absolute_error
0.9996250535132869
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
0.3694234874300641
root_mean_squared_error
0.3694234874300641
root_mean_squared_error
0.3694234874300641
root_mean_squared_error
0.3694234874300641
root_mean_squared_error
0.369285439565326
root_mean_squared_error
0.36938941740918024
root_mean_squared_error
0.36940817257497766
root_mean_squared_error
0.36940817257497766
root_mean_squared_error
0.36940817257497766
root_mean_squared_error
0.36940817257497766
root_relative_squared_error
1.0000511491082742
root_relative_squared_error
1.0000511491082742
root_relative_squared_error
1.0000511491082742
root_relative_squared_error
1.0000511491082742
root_relative_squared_error
1.0000464796547746
root_relative_squared_error
1.0000632336313657
root_relative_squared_error
1.0001205742205395
root_relative_squared_error
1.0001205742205395
root_relative_squared_error
1.0001205742205395
root_relative_squared_error
1.0001205742205395
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
9309.638238002663
usercpu_time_millis
9173.626429997967
usercpu_time_millis
9210.090864999074
usercpu_time_millis
9235.882835000666
usercpu_time_millis
9198.62216200272
usercpu_time_millis
9187.327315998118
usercpu_time_millis
9167.31104399878
usercpu_time_millis
9182.931585000915
usercpu_time_millis
9174.123163000331
usercpu_time_millis
9228.50409399689
usercpu_time_millis_testing
10.476864001248032
usercpu_time_millis_testing
7.948754999233643
usercpu_time_millis_testing
8.17748500048765
usercpu_time_millis_testing
7.889705000707181
usercpu_time_millis_testing
8.126010001433315
usercpu_time_millis_testing
7.986847998836311
usercpu_time_millis_testing
8.154557999660028
usercpu_time_millis_testing
8.944552999309963
usercpu_time_millis_testing
8.196411999961128
usercpu_time_millis_testing
7.981407998158829
usercpu_time_millis_training
9299.161374001415
usercpu_time_millis_training
9165.677674998733
usercpu_time_millis_training
9201.913379998587
usercpu_time_millis_training
9227.993129999959
usercpu_time_millis_training
9190.496152001288
usercpu_time_millis_training
9179.340467999282
usercpu_time_millis_training
9159.15648599912
usercpu_time_millis_training
9173.987032001605
usercpu_time_millis_training
9165.92675100037
usercpu_time_millis_training
9220.52268599873