10218729
1
Jan van Rijn
3954
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)
8144161
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": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_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
"mse"
9667
init
null
9667
learning_rate
0.0007413532137452587
9667
loss
"deviance"
9667
max_depth
31
9667
max_features
0.15487415701254037
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.5406545133638048
9667
min_impurity_split
null
9667
min_samples_leaf
4
9667
min_samples_split
4
9667
min_weight_fraction_leaf
0.43928458122734587
9667
n_estimators
161
9667
n_iter_no_change
1188
9667
presort
"auto"
9667
random_state
15920
9667
subsample
0.7175819720373798
9667
tol
7.276745242718059e-05
9667
validation_fraction
0.6787633525999639
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
1120
MagicTelescope
https://www.openml.org/data/download/54003/MagicTelescope.arff
-1
21358374
description
https://api.openml.org/data/download/21358374/description.xml
-1
21358375
predictions
https://api.openml.org/data/download/21358375/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
59.345610818725426
mean_absolute_error
0.454660934383451
mean_prior_absolute_error
0.45597723417494307
number_of_instances
19020 [12332,6688]
predictive_accuracy
0.6483701366982124
prior_entropy
0.9355290146976065
recall
0.6483701366982124 [1,0]
relative_absolute_error
0.997113233528262
root_mean_prior_squared_error
0.47747911240123586
root_mean_squared_error
0.47749957202088905
root_relative_squared_error
1.0000428492453843
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
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
5.951384784442959
kb_relative_information_score
5.951384784442959
kb_relative_information_score
5.930355156229379
kb_relative_information_score
5.930355156229379
kb_relative_information_score
5.930355156229379
kb_relative_information_score
5.930355156229379
kb_relative_information_score
5.930355156229379
kb_relative_information_score
5.930355156229379
kb_relative_information_score
5.930355156229379
kb_relative_information_score
5.930355156229379
mean_absolute_error
0.45453240407698936
mean_absolute_error
0.45453240407698936
mean_absolute_error
0.45469306696010947
mean_absolute_error
0.45469306696010947
mean_absolute_error
0.45469306696010947
mean_absolute_error
0.45469306696010947
mean_absolute_error
0.45469306696010947
mean_absolute_error
0.45469306696010947
mean_absolute_error
0.45469306696010947
mean_absolute_error
0.45469306696010947
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
predictive_accuracy
0.6487907465825447
predictive_accuracy
0.6487907465825447
predictive_accuracy
0.6482649842271293
predictive_accuracy
0.6482649842271293
predictive_accuracy
0.6482649842271293
predictive_accuracy
0.6482649842271293
predictive_accuracy
0.6482649842271293
predictive_accuracy
0.6482649842271293
predictive_accuracy
0.6482649842271293
predictive_accuracy
0.6482649842271293
prior_entropy
0.9355290146976065
prior_entropy
0.9355290146976065
prior_entropy
0.9355290146976065
prior_entropy
0.9355290146976065
prior_entropy
0.9355290146976065
prior_entropy
0.9355290146976065
prior_entropy
0.9355290146976065
prior_entropy
0.9355290146976065
prior_entropy
0.9355290146976065
prior_entropy
0.9355290146976065
recall
0.6487907465825447 [1,0]
recall
0.6487907465825447 [1,0]
recall
0.6482649842271293 [1,0]
recall
0.6482649842271293 [1,0]
recall
0.6482649842271293 [1,0]
recall
0.6482649842271293 [1,0]
recall
0.6482649842271293 [1,0]
recall
0.6482649842271293 [1,0]
recall
0.6482649842271293 [1,0]
recall
0.6482649842271293 [1,0]
relative_absolute_error
0.9971042573731788
relative_absolute_error
0.9971042573731788
relative_absolute_error
0.9971154767995553
relative_absolute_error
0.9971154767995553
relative_absolute_error
0.9971154767995553
relative_absolute_error
0.9971154767995553
relative_absolute_error
0.9971154767995553
relative_absolute_error
0.9971154767995553
relative_absolute_error
0.9971154767995553
relative_absolute_error
0.9971154767995553
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_squared_error
0.47736496621939767
root_mean_squared_error
0.47736496621939767
root_mean_squared_error
0.4775332175427871
root_mean_squared_error
0.4775332175427871
root_mean_squared_error
0.4775332175427871
root_mean_squared_error
0.4775332175427871
root_mean_squared_error
0.4775332175427871
root_mean_squared_error
0.4775332175427871
root_mean_squared_error
0.4775332175427871
root_mean_squared_error
0.4775332175427871
root_relative_squared_error
1.00003468486099
root_relative_squared_error
1.00003468486099
root_relative_squared_error
1.0000448889345883
root_relative_squared_error
1.0000448889345883
root_relative_squared_error
1.0000448889345883
root_relative_squared_error
1.0000448889345883
root_relative_squared_error
1.0000448889345883
root_relative_squared_error
1.0000448889345883
root_relative_squared_error
1.0000448889345883
root_relative_squared_error
1.0000448889345883
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
470.02330900068046
usercpu_time_millis
442.80243899993366
usercpu_time_millis
429.2073770011484
usercpu_time_millis
426.0127109992027
usercpu_time_millis
426.3445539982058
usercpu_time_millis
428.7466809983016
usercpu_time_millis
425.9276999946451
usercpu_time_millis
430.6025430014415
usercpu_time_millis
426.89079100091476
usercpu_time_millis
426.99244799950975
usercpu_time_millis_testing
1.947058000951074
usercpu_time_millis_testing
1.811624999390915
usercpu_time_millis_testing
1.8312060019525234
usercpu_time_millis_testing
1.8076069973176345
usercpu_time_millis_testing
1.834730999689782
usercpu_time_millis_testing
1.805755000532372
usercpu_time_millis_testing
1.8203019972133916
usercpu_time_millis_testing
1.8274540016136598
usercpu_time_millis_testing
1.8150770010834094
usercpu_time_millis_testing
1.8153849996451754
usercpu_time_millis_training
468.0762509997294
usercpu_time_millis_training
440.99081400054274
usercpu_time_millis_training
427.3761709991959
usercpu_time_millis_training
424.20510400188505
usercpu_time_millis_training
424.50982299851603
usercpu_time_millis_training
426.9409259977692
usercpu_time_millis_training
424.1073979974317
usercpu_time_millis_training
428.77508899982786
usercpu_time_millis_training
425.07571399983135
usercpu_time_millis_training
425.1770629998646