10227465
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)
8152897
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
1.088350495804861e-05
9667
loss
"deviance"
9667
max_depth
32
9667
max_features
0.4699892041117433
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.25859592821359
9667
min_impurity_split
null
9667
min_samples_leaf
2
9667
min_samples_split
10
9667
min_weight_fraction_leaf
0.41023635113489143
9667
n_estimators
86
9667
n_iter_no_change
2046
9667
presort
"auto"
9667
random_state
13222
9667
subsample
0.8119200065040525
9667
tol
0.0008326488606254127
9667
validation_fraction
0.06774341385971927
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
21375846
description
https://api.openml.org/data/download/21375846/description.xml
-1
21375847
predictions
https://api.openml.org/data/download/21375847/predictions.arff
area_under_roc_curve
0.6478870957288223 [0.647887,0.647887]
average_cost
0
kappa
0
kb_relative_information_score
0.14002206148690433
mean_absolute_error
0.49364590972158634
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
0.999783133816272
root_mean_prior_squared_error
0.49685415342632255
root_mean_squared_error
0.49683630600427037
root_relative_squared_error
0.9999640791529484
total_cost
0
area_under_roc_curve
0.7386363636363638 [0.738636,0.738636]
area_under_roc_curve
0.8230519480519481 [0.823052,0.823052]
area_under_roc_curve
0.6063311688311689 [0.606331,0.606331]
area_under_roc_curve
0.726461038961039 [0.726461,0.726461]
area_under_roc_curve
0.7865259740259739 [0.786526,0.786526]
area_under_roc_curve
0.788961038961039 [0.788961,0.788961]
area_under_roc_curve
0.7402597402597402 [0.74026,0.74026]
area_under_roc_curve
0.7475649350649349 [0.747565,0.747565]
area_under_roc_curve
0.8542673107890499 [0.854267,0.854267]
area_under_roc_curve
0.7061191626409018 [0.706119,0.706119]
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
0.009411417870545134
kb_relative_information_score
0.00942441406258534
kb_relative_information_score
0.007013522496502797
kb_relative_information_score
0.009025912311374108
kb_relative_information_score
0.009249815681201461
kb_relative_information_score
0.010435235759765859
kb_relative_information_score
0.008851255457858441
kb_relative_information_score
0.009881005606984914
kb_relative_information_score
0.03482687013866477
kb_relative_information_score
0.03190261210142149
mean_absolute_error
0.4932348833067132
mean_absolute_error
0.4932347843934432
mean_absolute_error
0.49325320138226075
mean_absolute_error
0.4932378278557149
mean_absolute_error
0.49323611731919464
mean_absolute_error
0.49322706167868424
mean_absolute_error
0.4932391618050107
mean_absolute_error
0.4932312950149305
mean_absolute_error
0.4952711644769488
mean_absolute_error
0.49529359998295946
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
0.9998542699885712
relative_absolute_error
0.9998540694779043
relative_absolute_error
0.9998914032219942
relative_absolute_error
0.9998602389903433
relative_absolute_error
0.9998567714999008
relative_absolute_error
0.9998384144835214
relative_absolute_error
0.9998629430872037
relative_absolute_error
0.9998469960325265
relative_absolute_error
0.9994618289412607
relative_absolute_error
0.9995071040016295
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
0.496365902999596
root_mean_squared_error
0.4963643572959461
root_mean_squared_error
0.4963877607672165
root_mean_squared_error
0.4963722509431575
root_mean_squared_error
0.49636948356548416
root_mean_squared_error
0.49636085642602656
root_mean_squared_error
0.4963721847987913
root_mean_squared_error
0.49636505871591136
root_mean_squared_error
0.49868753155214773
root_mean_squared_error
0.49870894191984266
root_relative_squared_error
0.9999214210721774
root_relative_squared_error
0.9999183072761233
root_relative_squared_error
0.9999654532063924
root_relative_squared_error
0.9999342089061293
root_relative_squared_error
0.9999286340666831
root_relative_squared_error
0.9999112548279117
root_relative_squared_error
0.9999340756593285
root_relative_squared_error
0.9999197202757757
root_relative_squared_error
1.000081122725273
root_relative_squared_error
1.0001240596410923
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
80.2857890012092
usercpu_time_millis
75.46805500169285
usercpu_time_millis
75.25914600410033
usercpu_time_millis
75.10287900367985
usercpu_time_millis
75.15833799698157
usercpu_time_millis
74.7850869956892
usercpu_time_millis
71.65853199694538
usercpu_time_millis
70.09298800403485
usercpu_time_millis
69.61325999873225
usercpu_time_millis
69.07279000006383
usercpu_time_millis_testing
2.963404003821779
usercpu_time_millis_testing
2.967216001707129
usercpu_time_millis_testing
2.956091004307382
usercpu_time_millis_testing
2.959208002721425
usercpu_time_millis_testing
2.9756389994872734
usercpu_time_millis_testing
2.9490719971363433
usercpu_time_millis_testing
2.7283249946776778
usercpu_time_millis_testing
2.7341910026734695
usercpu_time_millis_testing
2.7334740007063374
usercpu_time_millis_testing
2.7424319996498525
usercpu_time_millis_training
77.32238499738742
usercpu_time_millis_training
72.50083899998572
usercpu_time_millis_training
72.30305499979295
usercpu_time_millis_training
72.14367100095842
usercpu_time_millis_training
72.1826989974943
usercpu_time_millis_training
71.83601499855286
usercpu_time_millis_training
68.93020700226771
usercpu_time_millis_training
67.35879700136138
usercpu_time_millis_training
66.87978599802591
usercpu_time_millis_training
66.33035800041398