10223805
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)
8149237
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
1.1776171410046695e-05
9667
loss
"deviance"
9667
max_depth
9
9667
max_features
0.6474422560399362
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.46647002566139983
9667
min_impurity_split
null
9667
min_samples_leaf
20
9667
min_samples_split
7
9667
min_weight_fraction_leaf
0.3973207926953928
9667
n_estimators
71
9667
n_iter_no_change
1394
9667
presort
"auto"
9667
random_state
55215
9667
subsample
0.6298985218063743
9667
tol
0.0015498121010333278
9667
validation_fraction
0.9647937908874473
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
21368526
description
https://api.openml.org/data/download/21368526/description.xml
-1
21368527
predictions
https://api.openml.org/data/download/21368527/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
6.241825632229926
mean_absolute_error
0.4887999118179932
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
0.989968513913407
root_mean_prior_squared_error
0.49685415342632255
root_mean_squared_error
0.4987986259869635
root_relative_squared_error
1.0039135680908204
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
0.6687670320246343
kb_relative_information_score
0.6687670320246343
kb_relative_information_score
0.6687670320246343
kb_relative_information_score
0.6687670320246343
kb_relative_information_score
0.6687670320246343
kb_relative_information_score
0.6687670320246343
kb_relative_information_score
0.6687670320246343
kb_relative_information_score
0.6687670320246343
kb_relative_information_score
0.4458446880164228
kb_relative_information_score
0.4458446880164228
mean_absolute_error
0.4879999055192787
mean_absolute_error
0.4879999055192787
mean_absolute_error
0.4879999055192787
mean_absolute_error
0.4879999055192787
mean_absolute_error
0.4879999055192787
mean_absolute_error
0.4879999055192787
mean_absolute_error
0.4879999055192787
mean_absolute_error
0.4879999055192787
mean_absolute_error
0.4919999370128526
mean_absolute_error
0.4919999370128526
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
0.9892422571905898
relative_absolute_error
0.9892422571905898
relative_absolute_error
0.9892422571905898
relative_absolute_error
0.9892422571905898
relative_absolute_error
0.9892422571905898
relative_absolute_error
0.9892422571905898
relative_absolute_error
0.9892422571905898
relative_absolute_error
0.9892422571905898
relative_absolute_error
0.9928604614104024
relative_absolute_error
0.9928604614104024
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
0.49799604716078566
root_mean_squared_error
0.49799604716078566
root_mean_squared_error
0.49799604716078566
root_mean_squared_error
0.49799604716078566
root_mean_squared_error
0.49799604716078566
root_mean_squared_error
0.49799604716078566
root_mean_squared_error
0.49799604716078566
root_mean_squared_error
0.49799604716078566
root_mean_squared_error
0.501996110026105
root_mean_squared_error
0.501996110026105
root_relative_squared_error
1.0032053212280079
root_relative_squared_error
1.0032053212280079
root_relative_squared_error
1.0032053212280079
root_relative_squared_error
1.0032053212280079
root_relative_squared_error
1.0032053212280079
root_relative_squared_error
1.0032053212280079
root_relative_squared_error
1.0032053212280079
root_relative_squared_error
1.0032053212280079
root_relative_squared_error
1.006716233221341
root_relative_squared_error
1.006716233221341
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
58.099156001844676
usercpu_time_millis
51.500482000847114
usercpu_time_millis
51.648438995471224
usercpu_time_millis
51.76664300233824
usercpu_time_millis
51.96776500088163
usercpu_time_millis
52.14982400138979
usercpu_time_millis
51.656407998962095
usercpu_time_millis
51.43579700234113
usercpu_time_millis
50.48993500167853
usercpu_time_millis
47.594051000487525
usercpu_time_millis_testing
3.0125730008876417
usercpu_time_millis_testing
3.014237001480069
usercpu_time_millis_testing
3.0242539978644345
usercpu_time_millis_testing
3.0408670027100015
usercpu_time_millis_testing
3.0219239997677505
usercpu_time_millis_testing
3.0626070001744665
usercpu_time_millis_testing
3.010652999364538
usercpu_time_millis_testing
2.9962580010760576
usercpu_time_millis_testing
2.798796002025483
usercpu_time_millis_testing
2.785877000860637
usercpu_time_millis_training
55.086583000957035
usercpu_time_millis_training
48.486244999367045
usercpu_time_millis_training
48.62418499760679
usercpu_time_millis_training
48.72577599962824
usercpu_time_millis_training
48.94584100111388
usercpu_time_millis_training
49.08721700121532
usercpu_time_millis_training
48.64575499959756
usercpu_time_millis_training
48.439539001265075
usercpu_time_millis_training
47.69113899965305
usercpu_time_millis_training
44.80817399962689