10223768
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)
8149200
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
"mae"
9667
init
null
9667
learning_rate
0.0012430606723375
9667
loss
"deviance"
9667
max_depth
26
9667
max_features
0.021630790671188893
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.940332423450485
9667
min_impurity_split
null
9667
min_samples_leaf
16
9667
min_samples_split
20
9667
min_weight_fraction_leaf
0.20336578904753644
9667
n_estimators
613
9667
n_iter_no_change
839
9667
presort
"auto"
9667
random_state
24232
9667
subsample
0.26070378685749496
9667
tol
0.00020442007586509928
9667
validation_fraction
0.9587342919002688
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
21368452
description
https://api.openml.org/data/download/21368452/description.xml
-1
21368453
predictions
https://api.openml.org/data/download/21368453/predictions.arff
area_under_roc_curve
0.5000137742755015 [0.502083,0.500179,0.499433,0.500046,0.496094,0.502761]
average_cost
0
kappa
0
kb_relative_information_score
65.12100856295108
mean_absolute_error
0.2750694397703534
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
1.0080235575053291
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.37038749204921106
root_relative_squared_error
1.002752666064081
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
6.597188645799015
kb_relative_information_score
6.597188645799015
kb_relative_information_score
6.597188645799015
kb_relative_information_score
6.597188645799015
kb_relative_information_score
6.344720726674931
kb_relative_information_score
6.360046882318169
kb_relative_information_score
6.50687159269076
kb_relative_information_score
6.50687159269076
kb_relative_information_score
6.50687159269076
kb_relative_information_score
6.50687159269076
mean_absolute_error
0.27511600784792706
mean_absolute_error
0.27511600784792706
mean_absolute_error
0.27511600784792706
mean_absolute_error
0.27511600784792706
mean_absolute_error
0.27510193257541715
mean_absolute_error
0.2751477676779144
mean_absolute_error
0.2749949003022472
mean_absolute_error
0.2749949003022472
mean_absolute_error
0.2749949003022472
mean_absolute_error
0.2749949003022472
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
1.0081018125413699
relative_absolute_error
1.0081018125413699
relative_absolute_error
1.0081018125413699
relative_absolute_error
1.0081018125413699
relative_absolute_error
1.0084223130322187
relative_absolute_error
1.00832336520209
relative_absolute_error
1.0077697718495267
relative_absolute_error
1.0077697718495267
relative_absolute_error
1.0077697718495267
relative_absolute_error
1.0077697718495267
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
0.3704117026801016
root_mean_squared_error
0.3704117026801016
root_mean_squared_error
0.3704117026801016
root_mean_squared_error
0.3704117026801016
root_mean_squared_error
0.3703927026952098
root_mean_squared_error
0.37045457118567093
root_mean_squared_error
0.37034505266178885
root_mean_squared_error
0.37034505266178885
root_mean_squared_error
0.37034505266178885
root_mean_squared_error
0.37034505266178885
root_relative_squared_error
1.002726306021662
root_relative_squared_error
1.002726306021662
root_relative_squared_error
1.002726306021662
root_relative_squared_error
1.002726306021662
root_relative_squared_error
1.0030450127038846
root_relative_squared_error
1.0029469684646568
root_relative_squared_error
1.0026570450405163
root_relative_squared_error
1.0026570450405163
root_relative_squared_error
1.0026570450405163
root_relative_squared_error
1.0026570450405163
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
2124.4336150011804
usercpu_time_millis
2102.4426839976513
usercpu_time_millis
2079.4650560019363
usercpu_time_millis
2076.4965630005463
usercpu_time_millis
2062.7952409995487
usercpu_time_millis
2064.9913079978433
usercpu_time_millis
2068.055314000958
usercpu_time_millis
2069.610032001947
usercpu_time_millis
2062.8236019983888
usercpu_time_millis
2070.675046998076
usercpu_time_millis_testing
5.41888000225299
usercpu_time_millis_testing
5.185369998798706
usercpu_time_millis_testing
7.011308000073768
usercpu_time_millis_testing
5.041106000135187
usercpu_time_millis_testing
5.428704000223661
usercpu_time_millis_testing
5.196615999011556
usercpu_time_millis_testing
5.462396002258174
usercpu_time_millis_testing
5.216108002059627
usercpu_time_millis_testing
5.422401998657733
usercpu_time_millis_testing
5.233358999248594
usercpu_time_millis_training
2119.0147349989275
usercpu_time_millis_training
2097.2573139988526
usercpu_time_millis_training
2072.4537480018626
usercpu_time_millis_training
2071.455457000411
usercpu_time_millis_training
2057.366536999325
usercpu_time_millis_training
2059.7946919988317
usercpu_time_millis_training
2062.5929179986997
usercpu_time_millis_training
2064.393923999887
usercpu_time_millis_training
2057.401199999731
usercpu_time_millis_training
2065.4416879988275