10223133
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)
8148565
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
"median"
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
5.2667690491168124e-05
9667
loss
"deviance"
9667
max_depth
25
9667
max_features
0.2802734723904863
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.99362967811704
9667
min_impurity_split
null
9667
min_samples_leaf
18
9667
min_samples_split
9
9667
min_weight_fraction_leaf
0.4963333429189611
9667
n_estimators
202
9667
n_iter_no_change
966
9667
presort
"auto"
9667
random_state
3321
9667
subsample
0.7673211467546728
9667
tol
0.0036697456193534998
9667
validation_fraction
0.4510591774976702
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
21367182
description
https://api.openml.org/data/download/21367182/description.xml
-1
21367183
predictions
https://api.openml.org/data/download/21367183/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
2.1829355613196504
mean_absolute_error
0.4920637145187148
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
0.9965787072281368
root_mean_prior_squared_error
0.49685415342632255
root_mean_squared_error
0.4970762621975698
root_relative_squared_error
1.00044703011883
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
0.23388595299853396
kb_relative_information_score
0.23388595299853396
kb_relative_information_score
0.23388595299853396
kb_relative_information_score
0.23388595299853396
kb_relative_information_score
0.23388595299853396
kb_relative_information_score
0.23388595299853396
kb_relative_information_score
0.23388595299853396
kb_relative_information_score
0.23388595299853396
kb_relative_information_score
0.1559239686656893
kb_relative_information_score
0.1559239686656893
mean_absolute_error
0.491496836984337
mean_absolute_error
0.491496836984337
mean_absolute_error
0.491496836984337
mean_absolute_error
0.491496836984337
mean_absolute_error
0.491496836984337
mean_absolute_error
0.491496836984337
mean_absolute_error
0.491496836984337
mean_absolute_error
0.491496836984337
mean_absolute_error
0.4943312246562247
mean_absolute_error
0.4943312246562247
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
0.9963310134313395
relative_absolute_error
0.9963310134313395
relative_absolute_error
0.9963310134313395
relative_absolute_error
0.9963310134313395
relative_absolute_error
0.9963310134313395
relative_absolute_error
0.9963310134313395
relative_absolute_error
0.9963310134313395
relative_absolute_error
0.9963310134313395
relative_absolute_error
0.997565021616918
relative_absolute_error
0.997565021616918
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
0.4965057229337138
root_mean_squared_error
0.4965057229337138
root_mean_squared_error
0.4965057229337138
root_mean_squared_error
0.4965057229337138
root_mean_squared_error
0.4965057229337138
root_mean_squared_error
0.4965057229337138
root_mean_squared_error
0.4965057229337138
root_mean_squared_error
0.4965057229337138
root_mean_squared_error
0.4993519005449138
root_mean_squared_error
0.4993519005449138
root_relative_squared_error
1.0002030861631364
root_relative_squared_error
1.0002030861631364
root_relative_squared_error
1.0002030861631364
root_relative_squared_error
1.0002030861631364
root_relative_squared_error
1.0002030861631364
root_relative_squared_error
1.0002030861631364
root_relative_squared_error
1.0002030861631364
root_relative_squared_error
1.0002030861631364
root_relative_squared_error
1.0014134658181941
root_relative_squared_error
1.0014134658181941
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
198.22073799878126
usercpu_time_millis
189.963598997565
usercpu_time_millis
187.5535180006409
usercpu_time_millis
175.37512000126299
usercpu_time_millis
176.11260300327558
usercpu_time_millis
176.1058129995945
usercpu_time_millis
177.75468899708358
usercpu_time_millis
178.664826995373
usercpu_time_millis
176.40184199990472
usercpu_time_millis
177.61723399962648
usercpu_time_millis_testing
3.102239999861922
usercpu_time_millis_testing
3.282443998614326
usercpu_time_millis_testing
3.133128000627039
usercpu_time_millis_testing
2.8270440016058274
usercpu_time_millis_testing
2.843943002517335
usercpu_time_millis_testing
3.026472000783542
usercpu_time_millis_testing
2.9011240003455896
usercpu_time_millis_testing
2.8279609978199005
usercpu_time_millis_testing
3.055344001040794
usercpu_time_millis_testing
2.859621999959927
usercpu_time_millis_training
195.11849799891934
usercpu_time_millis_training
186.68115499895066
usercpu_time_millis_training
184.42039000001387
usercpu_time_millis_training
172.54807599965716
usercpu_time_millis_training
173.26866000075825
usercpu_time_millis_training
173.07934099881095
usercpu_time_millis_training
174.853564996738
usercpu_time_millis_training
175.8368659975531
usercpu_time_millis_training
173.34649799886392
usercpu_time_millis_training
174.75761199966655