10220782
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)
8146214
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
"mean"
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
"mse"
9667
init
null
9667
learning_rate
0.0012297959918572048
9667
loss
"deviance"
9667
max_depth
18
9667
max_features
0.18281075803983582
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.5481722698380489
9667
min_impurity_split
null
9667
min_samples_leaf
12
9667
min_samples_split
5
9667
min_weight_fraction_leaf
0.10598428978590113
9667
n_estimators
201
9667
n_iter_no_change
1236
9667
presort
"auto"
9667
random_state
63115
9667
subsample
0.3291331425906784
9667
tol
0.0021695041449134246
9667
validation_fraction
0.1541948529501158
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
21362480
description
https://api.openml.org/data/download/21362480/description.xml
-1
21362481
predictions
https://api.openml.org/data/download/21362481/predictions.arff
area_under_roc_curve
0.4935186985546698 [0.493519,0.493519]
average_cost
0
kappa
0
kb_relative_information_score
-1.0421337682115515
mean_absolute_error
0.49439319097654544
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
1.0012966056798323
root_mean_prior_squared_error
0.49685415342632255
root_mean_squared_error
0.4969072139069648
root_relative_squared_error
1.0001067928692482
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
-0.1195260354509365
kb_relative_information_score
-0.1195260354509365
kb_relative_information_score
-0.1195260354509365
kb_relative_information_score
-0.1195260354509365
kb_relative_information_score
-0.1195260354509365
kb_relative_information_score
-0.1195260354509365
kb_relative_information_score
-0.1195260354509365
kb_relative_information_score
-0.1195260354509365
kb_relative_information_score
-0.04296274230202973
kb_relative_information_score
-0.04296274230202973
mean_absolute_error
0.4940412354340182
mean_absolute_error
0.4940412354340182
mean_absolute_error
0.4940412354340182
mean_absolute_error
0.4940412354340182
mean_absolute_error
0.4940412354340182
mean_absolute_error
0.4940412354340182
mean_absolute_error
0.4940412354340182
mean_absolute_error
0.4940412354340182
mean_absolute_error
0.49580101314665354
mean_absolute_error
0.49580101314665354
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
1.0014888555478794
relative_absolute_error
1.0014888555478794
relative_absolute_error
1.0014888555478794
relative_absolute_error
1.0014888555478794
relative_absolute_error
1.0014888555478794
relative_absolute_error
1.0014888555478794
relative_absolute_error
1.0014888555478794
relative_absolute_error
1.0014888555478794
relative_absolute_error
1.0005310684982305
relative_absolute_error
1.0005310684982305
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
0.4964947035497587
root_mean_squared_error
0.4964947035497587
root_mean_squared_error
0.4964947035497587
root_mean_squared_error
0.4964947035497587
root_mean_squared_error
0.4964947035497587
root_mean_squared_error
0.4964947035497587
root_mean_squared_error
0.4964947035497587
root_mean_squared_error
0.4964947035497587
root_mean_squared_error
0.4985538421796146
root_mean_squared_error
0.4985538421796146
root_relative_squared_error
1.0001808877848894
root_relative_squared_error
1.0001808877848894
root_relative_squared_error
1.0001808877848894
root_relative_squared_error
1.0001808877848894
root_relative_squared_error
1.0001808877848894
root_relative_squared_error
1.0001808877848894
root_relative_squared_error
1.0001808877848894
root_relative_squared_error
1.0001808877848894
root_relative_squared_error
0.9998130185331285
root_relative_squared_error
0.9998130185331285
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
159.54376200170373
usercpu_time_millis
153.42015599890146
usercpu_time_millis
151.77607299847296
usercpu_time_millis
152.15635799904703
usercpu_time_millis
141.26363399918773
usercpu_time_millis
140.3098669979954
usercpu_time_millis
140.2132770017488
usercpu_time_millis
140.51163300246117
usercpu_time_millis
141.37161599865067
usercpu_time_millis
140.83032899725367
usercpu_time_millis_testing
3.2461340015288442
usercpu_time_millis_testing
3.212132000044221
usercpu_time_millis_testing
3.0066020008234773
usercpu_time_millis_testing
3.0115410008875187
usercpu_time_millis_testing
2.9463060018315446
usercpu_time_millis_testing
2.769988997897599
usercpu_time_millis_testing
2.7692360017681494
usercpu_time_millis_testing
2.829155000654282
usercpu_time_millis_testing
3.050195999094285
usercpu_time_millis_testing
3.123332997347461
usercpu_time_millis_training
156.29762800017488
usercpu_time_millis_training
150.20802399885724
usercpu_time_millis_training
148.76947099764948
usercpu_time_millis_training
149.1448169981595
usercpu_time_millis_training
138.3173279973562
usercpu_time_millis_training
137.53987800009781
usercpu_time_millis_training
137.44404099998064
usercpu_time_millis_training
137.68247800180689
usercpu_time_millis_training
138.32141999955638
usercpu_time_millis_training
137.7069959999062