10227739
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)
8153171
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
"mae"
9667
init
null
9667
learning_rate
0.00875360834167998
9667
loss
"deviance"
9667
max_depth
22
9667
max_features
0.7278075809550971
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.8221375381367637
9667
min_impurity_split
null
9667
min_samples_leaf
18
9667
min_samples_split
6
9667
min_weight_fraction_leaf
0.23944206552134367
9667
n_estimators
106
9667
n_iter_no_change
6
9667
presort
"auto"
9667
random_state
679
9667
subsample
0.5560839542117996
9667
tol
0.0012191250291964401
9667
validation_fraction
0.529491735011632
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
21376394
description
https://api.openml.org/data/download/21376394/description.xml
-1
21376395
predictions
https://api.openml.org/data/download/21376395/predictions.arff
area_under_roc_curve
0.4935186985546698 [0.493519,0.493519]
average_cost
0
kappa
0
kb_relative_information_score
0.022249372717529855
mean_absolute_error
0.49372578068226614
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
0.9999448968083212
root_mean_prior_squared_error
0.49685415342632255
root_mean_squared_error
0.4968872284007868
root_relative_squared_error
1.000066568779261
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
-0.00814534332391114
kb_relative_information_score
-0.00814534332391114
kb_relative_information_score
-0.00814534332391114
kb_relative_information_score
-0.00814534332391114
kb_relative_information_score
-0.00814534332391114
kb_relative_information_score
-0.00814534332391114
kb_relative_information_score
-0.00814534332391114
kb_relative_information_score
-0.00814534332391114
kb_relative_information_score
0.04370605965440949
kb_relative_information_score
0.04370605965440949
mean_absolute_error
0.4933565058565468
mean_absolute_error
0.4933565058565468
mean_absolute_error
0.4933565058565468
mean_absolute_error
0.4933565058565468
mean_absolute_error
0.4933565058565468
mean_absolute_error
0.4933565058565468
mean_absolute_error
0.4933565058565468
mean_absolute_error
0.4933565058565468
mean_absolute_error
0.49520287998514506
mean_absolute_error
0.49520287998514506
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
1.0001008154578672
relative_absolute_error
1.0001008154578672
relative_absolute_error
1.0001008154578672
relative_absolute_error
1.0001008154578672
relative_absolute_error
1.0001008154578672
relative_absolute_error
1.0001008154578672
relative_absolute_error
1.0001008154578672
relative_absolute_error
1.0001008154578672
relative_absolute_error
0.9993240301999619
relative_absolute_error
0.9993240301999619
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
0.49640860876793297
root_mean_squared_error
0.49640860876793297
root_mean_squared_error
0.49640860876793297
root_mean_squared_error
0.49640860876793297
root_mean_squared_error
0.49640860876793297
root_mean_squared_error
0.49640860876793297
root_mean_squared_error
0.49640860876793297
root_mean_squared_error
0.49640860876793297
root_mean_squared_error
0.498797114369574
root_mean_squared_error
0.498797114369574
root_relative_squared_error
1.000007451180824
root_relative_squared_error
1.000007451180824
root_relative_squared_error
1.000007451180824
root_relative_squared_error
1.000007451180824
root_relative_squared_error
1.000007451180824
root_relative_squared_error
1.000007451180824
root_relative_squared_error
1.000007451180824
root_relative_squared_error
1.000007451180824
root_relative_squared_error
1.0003008829962827
root_relative_squared_error
1.0003008829962827
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
21.6596429963829
usercpu_time_millis
17.72647799225524
usercpu_time_millis
17.310195995378308
usercpu_time_millis
17.374709001160227
usercpu_time_millis
17.476463995990343
usercpu_time_millis
17.211634003615472
usercpu_time_millis
17.40099399466999
usercpu_time_millis
17.23122400289867
usercpu_time_millis
17.27768999990076
usercpu_time_millis
17.357859993353486
usercpu_time_millis_testing
3.515543998219073
usercpu_time_millis_testing
3.0284909953479655
usercpu_time_millis_testing
3.016144997673109
usercpu_time_millis_testing
3.0333620015881024
usercpu_time_millis_testing
3.0429260004893877
usercpu_time_millis_testing
3.0162850016495213
usercpu_time_millis_testing
3.024202997039538
usercpu_time_millis_testing
3.011450004123617
usercpu_time_millis_testing
3.0202089983504266
usercpu_time_millis_testing
3.012071996636223
usercpu_time_millis_training
18.144098998163827
usercpu_time_millis_training
14.697986996907275
usercpu_time_millis_training
14.294050997705199
usercpu_time_millis_training
14.341346999572124
usercpu_time_millis_training
14.433537995500956
usercpu_time_millis_training
14.195349001965951
usercpu_time_millis_training
14.37679099763045
usercpu_time_millis_training
14.219773998775054
usercpu_time_millis_training
14.257481001550332
usercpu_time_millis_training
14.345787996717263