10219453
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)
8144885
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
"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
0.00011591404593899206
9667
loss
"deviance"
9667
max_depth
9
9667
max_features
0.9146232144744453
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.25321967748470375
9667
min_impurity_split
null
9667
min_samples_leaf
5
9667
min_samples_split
5
9667
min_weight_fraction_leaf
0.26443321825041594
9667
n_estimators
1567
9667
n_iter_no_change
1794
9667
presort
"auto"
9667
random_state
18764
9667
subsample
0.9915732676178105
9667
tol
0.041762330199177494
9667
validation_fraction
0.43796233498487325
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
21359822
description
https://api.openml.org/data/download/21359822/description.xml
-1
21359823
predictions
https://api.openml.org/data/download/21359823/predictions.arff
area_under_roc_curve
0.49964337434352174 [0.502083,0.498985,0.500567,0.499834,0.496094,0.498049]
average_cost
0
kappa
0
kb_relative_information_score
82.44253185696166
mean_absolute_error
0.27628126778334067
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
1.0124644404538525
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.37097561878056906
root_relative_squared_error
1.0043449057063811
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
8.31708747776031
kb_relative_information_score
8.31708747776031
kb_relative_information_score
8.31708747776031
kb_relative_information_score
8.31708747776031
kb_relative_information_score
8.084112487009062
kb_relative_information_score
8.204472096020098
kb_relative_information_score
8.221399340722828
kb_relative_information_score
8.221399340722828
kb_relative_information_score
8.221399340722828
kb_relative_information_score
8.221399340722828
mean_absolute_error
0.27627654625192083
mean_absolute_error
0.27627654625192083
mean_absolute_error
0.27627654625192083
mean_absolute_error
0.27627654625192083
mean_absolute_error
0.2762445006686238
mean_absolute_error
0.2762623910415846
mean_absolute_error
0.2762999670620264
mean_absolute_error
0.2762999670620264
mean_absolute_error
0.2762999670620264
mean_absolute_error
0.2762999670620264
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
1.0123543490540277
relative_absolute_error
1.0123543490540277
relative_absolute_error
1.0123543490540277
relative_absolute_error
1.0123543490540277
relative_absolute_error
1.0126105466391653
relative_absolute_error
1.0124080822633037
relative_absolute_error
1.012552430834495
relative_absolute_error
1.012552430834495
relative_absolute_error
1.012552430834495
relative_absolute_error
1.012552430834495
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
0.3709733960513406
root_mean_squared_error
0.3709733960513406
root_mean_squared_error
0.3709733960513406
root_mean_squared_error
0.3709733960513406
root_mean_squared_error
0.37093020232190294
root_mean_squared_error
0.37095609276000135
root_mean_squared_error
0.37099414199301733
root_mean_squared_error
0.37099414199301733
root_mean_squared_error
0.37099414199301733
root_mean_squared_error
0.37099414199301733
root_relative_squared_error
1.0042468430759293
root_relative_squared_error
1.0042468430759293
root_relative_squared_error
1.0042468430759293
root_relative_squared_error
1.0042468430759293
root_relative_squared_error
1.004500593000045
root_relative_squared_error
1.0043047585466751
root_relative_squared_error
1.0044143629421307
root_relative_squared_error
1.0044143629421307
root_relative_squared_error
1.0044143629421307
root_relative_squared_error
1.0044143629421307
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
13042.349249000836
usercpu_time_millis
12882.815541997843
usercpu_time_millis
12887.044933999277
usercpu_time_millis
12956.958090002445
usercpu_time_millis
12897.982947000855
usercpu_time_millis
12893.609773000207
usercpu_time_millis
12912.876314996538
usercpu_time_millis
12874.093489001098
usercpu_time_millis
12974.279924001166
usercpu_time_millis
12844.844216997444
usercpu_time_millis_testing
9.056836999661755
usercpu_time_millis_testing
8.764059999521123
usercpu_time_millis_testing
9.041588997206418
usercpu_time_millis_testing
8.756718001677655
usercpu_time_millis_testing
10.863755000173114
usercpu_time_millis_testing
8.770864002144663
usercpu_time_millis_testing
8.910337997804163
usercpu_time_millis_testing
8.78727600138518
usercpu_time_millis_testing
11.971154999628197
usercpu_time_millis_testing
8.80141299785464
usercpu_time_millis_training
13033.292412001174
usercpu_time_millis_training
12874.051481998322
usercpu_time_millis_training
12878.003345002071
usercpu_time_millis_training
12948.201372000767
usercpu_time_millis_training
12887.119192000682
usercpu_time_millis_training
12884.838908998063
usercpu_time_millis_training
12903.965976998734
usercpu_time_millis_training
12865.306212999712
usercpu_time_millis_training
12962.308769001538
usercpu_time_millis_training
12836.04280399959