10226483
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)
8151915
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
0.07568873798579343
9667
loss
"deviance"
9667
max_depth
7
9667
max_features
0.7942529250409778
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.8226668120874591
9667
min_impurity_split
null
9667
min_samples_leaf
4
9667
min_samples_split
12
9667
min_weight_fraction_leaf
0.2206719760310844
9667
n_estimators
197
9667
n_iter_no_change
1429
9667
presort
"auto"
9667
random_state
4183
9667
subsample
0.00661058966372563
9667
tol
3.334982442687098e-05
9667
validation_fraction
0.14295927635125372
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
21373882
description
https://api.openml.org/data/download/21373882/description.xml
-1
21373883
predictions
https://api.openml.org/data/download/21373883/predictions.arff
area_under_roc_curve
0.49985863553133725 [0.502083,0.498985,0.500567,0.499354,0.496094,0.50114]
average_cost
0
kappa
0
kb_relative_information_score
47.7609063436032
mean_absolute_error
0.27360299673028554
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
1.0026496085440695
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.36988282213869805
root_relative_squared_error
1.0013863696606864
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
3.5202983587674415
kb_relative_information_score
3.5202983587674415
kb_relative_information_score
3.5202983587674415
kb_relative_information_score
3.5202983587674415
kb_relative_information_score
3.356020421117153
kb_relative_information_score
3.374952978337288
kb_relative_information_score
6.737184877270085
kb_relative_information_score
6.737184877270085
kb_relative_information_score
6.737184877270085
kb_relative_information_score
6.737184877270085
mean_absolute_error
0.2743700903285648
mean_absolute_error
0.2743700903285648
mean_absolute_error
0.2743700903285648
mean_absolute_error
0.2743700903285648
mean_absolute_error
0.2743388147794529
mean_absolute_error
0.27439755641692276
mean_absolute_error
0.2724491879524181
mean_absolute_error
0.2724491879524181
mean_absolute_error
0.2724491879524181
mean_absolute_error
0.2724491879524181
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
1.005368562632876
relative_absolute_error
1.005368562632876
relative_absolute_error
1.005368562632876
relative_absolute_error
1.005368562632876
relative_absolute_error
1.0056250043920427
relative_absolute_error
1.0055740950565255
relative_absolute_error
0.99844053719404
relative_absolute_error
0.99844053719404
relative_absolute_error
0.99844053719404
relative_absolute_error
0.99844053719404
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
0.36979787760781174
root_mean_squared_error
0.36979787760781174
root_mean_squared_error
0.36979787760781174
root_mean_squared_error
0.36979787760781174
root_mean_squared_error
0.36971451928609633
root_mean_squared_error
0.369804718711261
root_mean_squared_error
0.37002984281098983
root_mean_squared_error
0.37002984281098983
root_mean_squared_error
0.37002984281098983
root_mean_squared_error
0.37002984281098983
root_relative_squared_error
1.001064645380739
root_relative_squared_error
1.001064645380739
root_relative_squared_error
1.001064645380739
root_relative_squared_error
1.001064645380739
root_relative_squared_error
1.0012084525306957
root_relative_squared_error
1.0011875960075358
root_relative_squared_error
1.0018036587854597
root_relative_squared_error
1.0018036587854597
root_relative_squared_error
1.0018036587854597
root_relative_squared_error
1.0018036587854597
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
1461.94341500086
usercpu_time_millis
1371.0860530045466
usercpu_time_millis
1368.450717003725
usercpu_time_millis
1361.1367639969103
usercpu_time_millis
1350.2524779978557
usercpu_time_millis
1352.9342519977945
usercpu_time_millis
1365.1223950073472
usercpu_time_millis
1377.7101510058856
usercpu_time_millis
1365.456727995479
usercpu_time_millis
1377.4757020073594
usercpu_time_millis_testing
3.364197000337299
usercpu_time_millis_testing
3.288389001681935
usercpu_time_millis_testing
4.291845005354844
usercpu_time_millis_testing
3.3063230002881028
usercpu_time_millis_testing
3.275630995631218
usercpu_time_millis_testing
3.236776996345725
usercpu_time_millis_testing
3.365567004948389
usercpu_time_millis_testing
3.2949310043477453
usercpu_time_millis_testing
3.422146000957582
usercpu_time_millis_testing
3.3068350021494552
usercpu_time_millis_training
1458.5792180005228
usercpu_time_millis_training
1367.7976640028646
usercpu_time_millis_training
1364.1588719983702
usercpu_time_millis_training
1357.8304409966222
usercpu_time_millis_training
1346.9768470022245
usercpu_time_millis_training
1349.6974750014488
usercpu_time_millis_training
1361.7568280023988
usercpu_time_millis_training
1374.4152200015378
usercpu_time_millis_training
1362.0345819945214
usercpu_time_millis_training
1374.16886700521