10226833
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)
8152265
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
6.746636881243836e-05
9667
loss
"deviance"
9667
max_depth
3
9667
max_features
0.619361557409823
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.676788465550458
9667
min_impurity_split
null
9667
min_samples_leaf
2
9667
min_samples_split
9
9667
min_weight_fraction_leaf
0.11087689771149256
9667
n_estimators
520
9667
n_iter_no_change
1825
9667
presort
"auto"
9667
random_state
29980
9667
subsample
0.49881748868280196
9667
tol
0.0006378339054705481
9667
validation_fraction
0.5261499847726988
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
21374582
description
https://api.openml.org/data/download/21374582/description.xml
-1
21374583
predictions
https://api.openml.org/data/download/21374583/predictions.arff
area_under_roc_curve
0.498664580660995 [0.497917,0.50049,0.500567,0.499474,0.496094,0.495618]
average_cost
0
kappa
0
kb_relative_information_score
94.56682717911153
mean_absolute_error
0.2767781959431383
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
1.0142854907743897
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.37147414572102677
root_relative_squared_error
1.0056945712036767
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
9.551109315554505
kb_relative_information_score
9.551109315554505
kb_relative_information_score
9.551109315554505
kb_relative_information_score
9.551109315554505
kb_relative_information_score
9.301024667568578
kb_relative_information_score
9.45241031608574
kb_relative_information_score
9.40223873331026
kb_relative_information_score
9.40223873331026
kb_relative_information_score
9.40223873331026
kb_relative_information_score
9.40223873331026
mean_absolute_error
0.27677822850939976
mean_absolute_error
0.27677822850939976
mean_absolute_error
0.27677822850939976
mean_absolute_error
0.27677822850939976
mean_absolute_error
0.2767602821453571
mean_absolute_error
0.2767776914436343
mean_absolute_error
0.27678278433834624
mean_absolute_error
0.27678278433834624
mean_absolute_error
0.27678278433834624
mean_absolute_error
0.27678278433834624
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
1.014192652819194
relative_absolute_error
1.014192652819194
relative_absolute_error
1.014192652819194
relative_absolute_error
1.014192652819194
relative_absolute_error
1.0145012114735315
relative_absolute_error
1.0142964836843646
relative_absolute_error
1.014321804215118
relative_absolute_error
1.014321804215118
relative_absolute_error
1.014321804215118
relative_absolute_error
1.014321804215118
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
0.37147619594831527
root_mean_squared_error
0.37147619594831527
root_mean_squared_error
0.37147619594831527
root_mean_squared_error
0.37147619594831527
root_mean_squared_error
0.37145072555626424
root_mean_squared_error
0.37147415901318404
root_mean_squared_error
0.3714779606267897
root_mean_squared_error
0.3714779606267897
root_mean_squared_error
0.3714779606267897
root_mean_squared_error
0.3714779606267897
root_relative_squared_error
1.005607952025008
root_relative_squared_error
1.005607952025008
root_relative_squared_error
1.005607952025008
root_relative_squared_error
1.005607952025008
root_relative_squared_error
1.005910200236968
root_relative_squared_error
1.0057073407214083
root_relative_squared_error
1.0057242337185517
root_relative_squared_error
1.0057242337185517
root_relative_squared_error
1.0057242337185517
root_relative_squared_error
1.0057242337185517
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
4948.232686008851
usercpu_time_millis
4908.660738998151
usercpu_time_millis
4922.903332000715
usercpu_time_millis
4931.599244002427
usercpu_time_millis
4916.384751995793
usercpu_time_millis
4905.250077994424
usercpu_time_millis
4961.228349005978
usercpu_time_millis
4967.918735994317
usercpu_time_millis
4908.814074005932
usercpu_time_millis
4940.3453250051825
usercpu_time_millis_testing
4.977701006282587
usercpu_time_millis_testing
4.703678998339456
usercpu_time_millis_testing
5.092583996884059
usercpu_time_millis_testing
5.64808800118044
usercpu_time_millis_testing
5.019298994739074
usercpu_time_millis_testing
4.758662995300256
usercpu_time_millis_testing
5.0167170047643594
usercpu_time_millis_testing
4.72569099656539
usercpu_time_millis_testing
4.937625002639834
usercpu_time_millis_testing
4.738518000522163
usercpu_time_millis_training
4943.254985002568
usercpu_time_millis_training
4903.9570599998115
usercpu_time_millis_training
4917.810748003831
usercpu_time_millis_training
4925.951156001247
usercpu_time_millis_training
4911.3654530010535
usercpu_time_millis_training
4900.491414999124
usercpu_time_millis_training
4956.211632001214
usercpu_time_millis_training
4963.193044997752
usercpu_time_millis_training
4903.876449003292
usercpu_time_millis_training
4935.60680700466