10222468
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)
8147900
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
"mae"
9667
init
null
9667
learning_rate
4.552139985326971e-05
9667
loss
"deviance"
9667
max_depth
27
9667
max_features
0.5037819401032936
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.8111392479534325
9667
min_impurity_split
null
9667
min_samples_leaf
7
9667
min_samples_split
17
9667
min_weight_fraction_leaf
0.4701059591969256
9667
n_estimators
222
9667
n_iter_no_change
1782
9667
presort
"auto"
9667
random_state
5926
9667
subsample
0.8902337354798657
9667
tol
0.0005088330620682347
9667
validation_fraction
0.28274525150972596
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
21365852
description
https://api.openml.org/data/download/21365852/description.xml
-1
21365853
predictions
https://api.openml.org/data/download/21365853/predictions.arff
area_under_roc_curve
0.501059084930343 [0.502083,0.499343,0.500567,0.499354,0.503906,0.50114]
average_cost
0
kappa
0
kb_relative_information_score
97.46660151749342
mean_absolute_error
0.2769247409236775
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
1.01482252168826
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.3716317832483809
root_relative_squared_error
1.0061213443918091
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
9.813073137798066
kb_relative_information_score
9.813073137798066
kb_relative_information_score
9.813073137798066
kb_relative_information_score
9.813073137798066
kb_relative_information_score
9.546741418714562
kb_relative_information_score
9.69711919038966
kb_relative_information_score
9.742612089298786
kb_relative_information_score
9.742612089298786
kb_relative_information_score
9.742612089298786
kb_relative_information_score
9.742612089298786
mean_absolute_error
0.27692881502423633
mean_absolute_error
0.27692881502423633
mean_absolute_error
0.27692881502423633
mean_absolute_error
0.27692881502423633
mean_absolute_error
0.2769151133604655
mean_absolute_error
0.27692594292121486
mean_absolute_error
0.27692276616181655
mean_absolute_error
0.27692276616181655
mean_absolute_error
0.27692276616181655
mean_absolute_error
0.27692276616181655
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
1.0147444438245175
relative_absolute_error
1.0147444438245175
relative_absolute_error
1.0147444438245175
relative_absolute_error
1.0147444438245175
relative_absolute_error
1.0150687656546582
relative_absolute_error
1.0148397751311091
relative_absolute_error
1.0148347935474538
relative_absolute_error
1.0148347935474538
relative_absolute_error
1.0148347935474538
relative_absolute_error
1.0148347935474538
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
0.3716371685330624
root_mean_squared_error
0.3716371685330624
root_mean_squared_error
0.3716371685330624
root_mean_squared_error
0.3716371685330624
root_mean_squared_error
0.37161816642014184
root_mean_squared_error
0.3716331871913858
root_mean_squared_error
0.37162944271657383
root_mean_squared_error
0.37162944271657383
root_mean_squared_error
0.37162944271657383
root_mean_squared_error
0.37162944271657383
root_relative_squared_error
1.0060437142973835
root_relative_squared_error
1.0060437142973835
root_relative_squared_error
1.0060437142973835
root_relative_squared_error
1.0060437142973835
root_relative_squared_error
1.0063636398490692
root_relative_squared_error
1.0061378842796034
root_relative_squared_error
1.0061343501314155
root_relative_squared_error
1.0061343501314155
root_relative_squared_error
1.0061343501314155
root_relative_squared_error
1.0061343501314155
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
107722.98333900108
usercpu_time_millis
111162.09003500262
usercpu_time_millis
108715.46902200134
usercpu_time_millis
106899.20899299977
usercpu_time_millis
112495.75287800326
usercpu_time_millis
112013.53991400174
usercpu_time_millis
109464.23512199908
usercpu_time_millis
108312.08827099908
usercpu_time_millis
110813.20869599949
usercpu_time_millis
110537.79130800103
usercpu_time_millis_testing
6.519174999993993
usercpu_time_millis_testing
5.786240002635168
usercpu_time_millis_testing
6.8600720005633775
usercpu_time_millis_testing
5.793336000351701
usercpu_time_millis_testing
6.77676200211863
usercpu_time_millis_testing
5.673171999660553
usercpu_time_millis_testing
4.966617998434231
usercpu_time_millis_testing
5.909480998525396
usercpu_time_millis_testing
6.745360999047989
usercpu_time_millis_testing
5.875045000721002
usercpu_time_millis_training
107716.46416400108
usercpu_time_millis_training
111156.30379499999
usercpu_time_millis_training
108708.60895000078
usercpu_time_millis_training
106893.41565699942
usercpu_time_millis_training
112488.97611600114
usercpu_time_millis_training
112007.86674200208
usercpu_time_millis_training
109459.26850400065
usercpu_time_millis_training
108306.17879000056
usercpu_time_millis_training
110806.46333500044
usercpu_time_millis_training
110531.91626300031