10221121
1
Jan van Rijn
3543
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)
8146553
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": [1, 3]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 2, 4]}}]
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
"friedman_mse"
9667
init
null
9667
learning_rate
0.00010450983783111938
9667
loss
"deviance"
9667
max_depth
25
9667
max_features
0.8619270288023713
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.7525186375121133
9667
min_impurity_split
null
9667
min_samples_leaf
10
9667
min_samples_split
12
9667
min_weight_fraction_leaf
0.17709220669235348
9667
n_estimators
186
9667
n_iter_no_change
50
9667
presort
"auto"
9667
random_state
31389
9667
subsample
0.6455795649035163
9667
tol
0.0038164041408827983
9667
validation_fraction
0.7336443866787706
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
451
irish
https://www.openml.org/data/download/52563/irish.arff
-1
21363158
description
https://api.openml.org/data/download/21363158/description.xml
-1
21363159
predictions
https://api.openml.org/data/download/21363159/predictions.arff
area_under_roc_curve
0.9605612807051654 [0.960561,0.960561]
average_cost
0
kappa
0
kb_relative_information_score
15.271094980201513
mean_absolute_error
0.48122687098210853
mean_prior_absolute_error
0.49375298804780854
number_of_instances
500 [278,222]
predictive_accuracy
0.556
prior_entropy
0.9910046621528215
recall
0.556 [1,0]
relative_absolute_error
0.9746308025087087
root_mean_prior_squared_error
0.49685415342632255
root_mean_squared_error
0.4939102093199121
root_relative_squared_error
0.9940748324511148
total_cost
0
area_under_roc_curve
0.9862012987012986 [0.986201,0.986201]
area_under_roc_curve
0.9667207792207794 [0.966721,0.966721]
area_under_roc_curve
0.9853896103896104 [0.98539,0.98539]
area_under_roc_curve
0.9569805194805194 [0.956981,0.956981]
area_under_roc_curve
0.9480519480519481 [0.948052,0.948052]
area_under_roc_curve
0.9740259740259739 [0.974026,0.974026]
area_under_roc_curve
0.9391233766233766 [0.939123,0.939123]
area_under_roc_curve
0.9967532467532467 [0.996753,0.996753]
area_under_roc_curve
0.9814814814814815 [0.981481,0.981481]
area_under_roc_curve
0.9863123993558776 [0.986312,0.986312]
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
1.6475923053926076
kb_relative_information_score
1.4669416633533248
kb_relative_information_score
1.6143225401696113
kb_relative_information_score
1.4905306133679341
kb_relative_information_score
1.5398434356660209
kb_relative_information_score
1.551719393879948
kb_relative_information_score
1.5126400867065675
kb_relative_information_score
1.769787669057593
kb_relative_information_score
1.3884847303816874
kb_relative_information_score
1.2892325422262048
mean_absolute_error
0.4797937299291998
mean_absolute_error
0.48130162219516087
mean_absolute_error
0.48006722571723087
mean_absolute_error
0.4811008717578866
mean_absolute_error
0.4806966272472923
mean_absolute_error
0.48059681434521623
mean_absolute_error
0.4809215099032526
mean_absolute_error
0.4787687133601961
mean_absolute_error
0.48409464131573904
mean_absolute_error
0.48492695404991065
mean_prior_absolute_error
0.49330677290836705
mean_prior_absolute_error
0.49330677290836705
mean_prior_absolute_error
0.49330677290836705
mean_prior_absolute_error
0.49330677290836705
mean_prior_absolute_error
0.49330677290836705
mean_prior_absolute_error
0.49330677290836705
mean_prior_absolute_error
0.49330677290836705
mean_prior_absolute_error
0.49330677290836705
mean_prior_absolute_error
0.49553784860557826
mean_prior_absolute_error
0.49553784860557826
number_of_instances
50 [28,22]
number_of_instances
50 [28,22]
number_of_instances
50 [28,22]
number_of_instances
50 [28,22]
number_of_instances
50 [28,22]
number_of_instances
50 [28,22]
number_of_instances
50 [28,22]
number_of_instances
50 [28,22]
number_of_instances
50 [27,23]
number_of_instances
50 [27,23]
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.54
predictive_accuracy
0.54
prior_entropy
0.9910046621528215
prior_entropy
0.9910046621528215
prior_entropy
0.9910046621528215
prior_entropy
0.9910046621528215
prior_entropy
0.9910046621528215
prior_entropy
0.9910046621528215
prior_entropy
0.9910046621528215
prior_entropy
0.9910046621528215
prior_entropy
0.9910046621528215
prior_entropy
0.9910046621528215
recall
0.56 [1,0]
recall
0.56 [1,0]
recall
0.56 [1,0]
recall
0.56 [1,0]
recall
0.56 [1,0]
recall
0.56 [1,0]
recall
0.56 [1,0]
recall
0.56 [1,0]
recall
0.54 [1,0]
recall
0.54 [1,0]
relative_absolute_error
0.9726072218723067
relative_absolute_error
0.9756639248181656
relative_absolute_error
0.9731616350753096
relative_absolute_error
0.9752569763465466
relative_absolute_error
0.974437517679456
relative_absolute_error
0.9742351833358839
relative_absolute_error
0.9748933854443246
relative_absolute_error
0.9705293737151437
relative_absolute_error
0.9769075009667982
relative_absolute_error
0.97858711582672
root_mean_prior_squared_error
0.49640490996518694
root_mean_prior_squared_error
0.49640490996518694
root_mean_prior_squared_error
0.49640490996518694
root_mean_prior_squared_error
0.49640490996518694
root_mean_prior_squared_error
0.49640490996518694
root_mean_prior_squared_error
0.49640490996518694
root_mean_prior_squared_error
0.49640490996518694
root_mean_prior_squared_error
0.49640490996518694
root_mean_prior_squared_error
0.49864707994207336
root_mean_prior_squared_error
0.49864707994207336
root_mean_squared_error
0.492219430003593
root_mean_squared_error
0.49413493892355725
root_mean_squared_error
0.4926744032419752
root_mean_squared_error
0.4941769187656744
root_mean_squared_error
0.4933558594788601
root_mean_squared_error
0.4932838110496751
root_mean_squared_error
0.49378125698678105
root_mean_squared_error
0.49123774186025515
root_mean_squared_error
0.4966788643858014
root_mean_squared_error
0.4975253596380603
root_relative_squared_error
0.9915684154657385
root_relative_squared_error
0.9954271785067781
root_relative_squared_error
0.9924849520052625
root_relative_squared_error
0.995511746248302
root_relative_squared_error
0.9938577350362213
root_relative_squared_error
0.9937125945919216
root_relative_squared_error
0.9947146917249673
root_relative_squared_error
0.9895908199109188
root_relative_squared_error
0.9960528886351834
root_relative_squared_error
0.9977504725303047
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
156.3332360019558
usercpu_time_millis
149.1957940015709
usercpu_time_millis
150.61403200161294
usercpu_time_millis
150.2284950001922
usercpu_time_millis
138.72055100364378
usercpu_time_millis
137.94081700325478
usercpu_time_millis
138.22437699855072
usercpu_time_millis
140.02162999895518
usercpu_time_millis
138.52914300150587
usercpu_time_millis
138.6373570021533
usercpu_time_millis_testing
3.310924999823328
usercpu_time_millis_testing
3.2802509995235596
usercpu_time_millis_testing
3.2879210011742543
usercpu_time_millis_testing
3.049348000786267
usercpu_time_millis_testing
3.078453002672177
usercpu_time_millis_testing
3.074440002819756
usercpu_time_millis_testing
2.969483997731004
usercpu_time_millis_testing
3.0090289983490948
usercpu_time_millis_testing
3.059236001718091
usercpu_time_millis_testing
3.0753829996683635
usercpu_time_millis_training
153.02231100213248
usercpu_time_millis_training
145.91554300204734
usercpu_time_millis_training
147.3261110004387
usercpu_time_millis_training
147.17914699940593
usercpu_time_millis_training
135.6420980009716
usercpu_time_millis_training
134.86637700043502
usercpu_time_millis_training
135.25489300081972
usercpu_time_millis_training
137.01260100060608
usercpu_time_millis_training
135.46990699978778
usercpu_time_millis_training
135.56197400248493