10221188
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)
8146620
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
"friedman_mse"
9667
init
null
9667
learning_rate
0.004408489470738348
9667
loss
"deviance"
9667
max_depth
31
9667
max_features
0.9330190500451147
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.4286379825372203
9667
min_impurity_split
null
9667
min_samples_leaf
20
9667
min_samples_split
16
9667
min_weight_fraction_leaf
0.20589061702457606
9667
n_estimators
371
9667
n_iter_no_change
921
9667
presort
"auto"
9667
random_state
62490
9667
subsample
0.014470562397899678
9667
tol
0.025688204130151215
9667
validation_fraction
0.7417398818785778
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
21363292
description
https://api.openml.org/data/download/21363292/description.xml
-1
21363293
predictions
https://api.openml.org/data/download/21363293/predictions.arff
area_under_roc_curve
0.49868678363265806 [0.497917,0.499343,0.500567,0.499926,0.496094,0.496429]
average_cost
0
kappa
0
kb_relative_information_score
57.62483775327219
mean_absolute_error
0.27355517948943714
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
1.00247437677252
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.3701936874637589
root_relative_squared_error
1.002227977544816
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
5.895165496319159
kb_relative_information_score
5.895165496319159
kb_relative_information_score
5.895165496319159
kb_relative_information_score
5.895165496319159
kb_relative_information_score
5.836395339897887
kb_relative_information_score
5.950081435182479
kb_relative_information_score
5.564424748228764
kb_relative_information_score
5.564424748228764
kb_relative_information_score
5.564424748228764
kb_relative_information_score
5.564424748228764
mean_absolute_error
0.27374806497883997
mean_absolute_error
0.27374806497883997
mean_absolute_error
0.27374806497883997
mean_absolute_error
0.27374806497883997
mean_absolute_error
0.2737157900742973
mean_absolute_error
0.27366319675380923
mean_absolute_error
0.2732942049859472
mean_absolute_error
0.2732942049859472
mean_absolute_error
0.2732942049859472
mean_absolute_error
0.2732942049859472
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
1.0030892882009395
relative_absolute_error
1.0030892882009395
relative_absolute_error
1.0030892882009395
relative_absolute_error
1.0030892882009395
relative_absolute_error
1.0033412254001342
relative_absolute_error
1.0028829156476267
relative_absolute_error
1.001537258704703
relative_absolute_error
1.001537258704703
relative_absolute_error
1.001537258704703
relative_absolute_error
1.001537258704703
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
0.3703810450809622
root_mean_squared_error
0.3703810450809622
root_mean_squared_error
0.3703810450809622
root_mean_squared_error
0.3703810450809622
root_mean_squared_error
0.3703374726526105
root_mean_squared_error
0.3702555321872131
root_mean_squared_error
0.3699539330582205
root_mean_squared_error
0.3699539330582205
root_mean_squared_error
0.3699539330582205
root_mean_squared_error
0.3699539330582205
root_relative_squared_error
1.002643314094263
root_relative_squared_error
1.002643314094263
root_relative_squared_error
1.002643314094263
root_relative_squared_error
1.002643314094263
root_relative_squared_error
1.00289544653161
root_relative_squared_error
1.0024081019594586
root_relative_squared_error
1.0015981438262225
root_relative_squared_error
1.0015981438262225
root_relative_squared_error
1.0015981438262225
root_relative_squared_error
1.0015981438262225
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
1653.2939640019322
usercpu_time_millis
1562.69557899941
usercpu_time_millis
1552.3328390008828
usercpu_time_millis
1559.896046997892
usercpu_time_millis
1556.47816200144
usercpu_time_millis
1547.463051003433
usercpu_time_millis
1563.6027599975932
usercpu_time_millis
1557.1671949983283
usercpu_time_millis
1548.718606998591
usercpu_time_millis
1556.0772809985792
usercpu_time_millis_testing
4.0001460001803935
usercpu_time_millis_testing
3.7757969985250384
usercpu_time_millis_testing
3.9896480011520907
usercpu_time_millis_testing
3.788390000408981
usercpu_time_millis_testing
4.1733230027602986
usercpu_time_millis_testing
3.8180640003702138
usercpu_time_millis_testing
4.208101996482583
usercpu_time_millis_testing
3.80787999893073
usercpu_time_millis_testing
4.017079001641832
usercpu_time_millis_testing
3.9423839989467524
usercpu_time_millis_training
1649.2938180017518
usercpu_time_millis_training
1558.9197820008849
usercpu_time_millis_training
1548.3431909997307
usercpu_time_millis_training
1556.107656997483
usercpu_time_millis_training
1552.3048389986798
usercpu_time_millis_training
1543.6449870030629
usercpu_time_millis_training
1559.3946580011107
usercpu_time_millis_training
1553.3593149993976
usercpu_time_millis_training
1544.7015279969492
usercpu_time_millis_training
1552.1348969996325