10219815
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)
8145247
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
"mse"
9667
init
null
9667
learning_rate
8.361359889617617e-05
9667
loss
"deviance"
9667
max_depth
27
9667
max_features
0.022671443273852177
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.1304475281161347
9667
min_impurity_split
null
9667
min_samples_leaf
16
9667
min_samples_split
13
9667
min_weight_fraction_leaf
0.11593958399529464
9667
n_estimators
937
9667
n_iter_no_change
1423
9667
presort
"auto"
9667
random_state
31670
9667
subsample
0.6865645467983765
9667
tol
0.05292373115989997
9667
validation_fraction
0.7275963004932697
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
21360546
description
https://api.openml.org/data/download/21360546/description.xml
-1
21360547
predictions
https://api.openml.org/data/download/21360547/predictions.arff
area_under_roc_curve
0.843120098515782 [0.84312,0.84312]
average_cost
0
kappa
0
kb_relative_information_score
-6.766514997595002
mean_absolute_error
0.498048490014527
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
1.008699698170338
root_mean_prior_squared_error
0.49685415342632255
root_mean_squared_error
0.49811699060894815
root_relative_squared_error
1.0025416657462096
total_cost
0
area_under_roc_curve
0.9707792207792206 [0.970779,0.970779]
area_under_roc_curve
0.9196428571428572 [0.919643,0.919643]
area_under_roc_curve
0.9634740259740261 [0.963474,0.963474]
area_under_roc_curve
0.7727272727272728 [0.772727,0.772727]
area_under_roc_curve
0.8863636363636362 [0.886364,0.886364]
area_under_roc_curve
0.8409090909090909 [0.840909,0.840909]
area_under_roc_curve
0.7954545454545454 [0.795455,0.795455]
area_under_roc_curve
0.9545454545454546 [0.954545,0.954545]
area_under_roc_curve
0.8913043478260869 [0.891304,0.891304]
area_under_roc_curve
0.8478260869565217 [0.847826,0.847826]
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
-0.6870924896838521
kb_relative_information_score
-0.7369286397960986
kb_relative_information_score
-0.7355771565462054
kb_relative_information_score
-0.7153247858105418
kb_relative_information_score
-0.7535056641915849
kb_relative_information_score
-0.7545713028757602
kb_relative_information_score
-0.7174443734787058
kb_relative_information_score
-0.71893059965826
kb_relative_information_score
-0.43643484936509
kb_relative_information_score
-0.5107051361889255
mean_absolute_error
0.49765284481291117
mean_absolute_error
0.49798994644553446
mean_absolute_error
0.4979807371276127
mean_absolute_error
0.49784371209151645
mean_absolute_error
0.4981019940796051
mean_absolute_error
0.49810914635508496
mean_absolute_error
0.4978580147662646
mean_absolute_error
0.49786819611694255
mean_absolute_error
0.4982890163398233
mean_absolute_error
0.4987912920099595
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
1.0088100795351362
relative_absolute_error
1.0094934304460428
relative_absolute_error
1.009474761904625
relative_absolute_error
1.0091969934983889
relative_absolute_error
1.0097205662573152
relative_absolute_error
1.0097350648936052
relative_absolute_error
1.0092259869676328
relative_absolute_error
1.0092466259518047
relative_absolute_error
1.0055518821458074
relative_absolute_error
1.0065654791324947
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
0.49771646852134194
root_mean_squared_error
0.4980661847284156
root_mean_squared_error
0.49804661454022964
root_mean_squared_error
0.49791895088558413
root_mean_squared_error
0.4981680285563089
root_mean_squared_error
0.49817705797146583
root_mean_squared_error
0.49793058197294165
root_mean_squared_error
0.4979311704748672
root_mean_squared_error
0.4983552145736956
root_mean_squared_error
0.49885874089558285
root_relative_squared_error
1.0026421143905426
root_relative_squared_error
1.0033466122713113
root_relative_squared_error
1.0033071884304243
root_relative_squared_error
1.0030500119761172
root_relative_squared_error
1.0035517750846694
root_relative_squared_error
1.0035699647016045
root_relative_squared_error
1.003073442621391
root_relative_squared_error
1.0030746281494018
root_relative_squared_error
0.9994146854957785
root_relative_squared_error
1.0004244704562073
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
590.0863799979561
usercpu_time_millis
544.8273399997561
usercpu_time_millis
533.3805230002326
usercpu_time_millis
536.7834309981845
usercpu_time_millis
536.2468610001088
usercpu_time_millis
535.1693209995574
usercpu_time_millis
536.6045990012935
usercpu_time_millis
535.0858790043276
usercpu_time_millis
536.023185999511
usercpu_time_millis
536.8746650019602
usercpu_time_millis_testing
3.430998000112595
usercpu_time_millis_testing
3.251782000006642
usercpu_time_millis_testing
3.061900999455247
usercpu_time_millis_testing
3.238188997784164
usercpu_time_millis_testing
3.189410999766551
usercpu_time_millis_testing
3.207557001587702
usercpu_time_millis_testing
3.284278001956409
usercpu_time_millis_testing
3.1883930023468565
usercpu_time_millis_testing
3.249878998758504
usercpu_time_millis_testing
3.179756000463385
usercpu_time_millis_training
586.6553819978435
usercpu_time_millis_training
541.5755579997494
usercpu_time_millis_training
530.3186220007774
usercpu_time_millis_training
533.5452420004003
usercpu_time_millis_training
533.0574500003422
usercpu_time_millis_training
531.9617639979697
usercpu_time_millis_training
533.3203209993371
usercpu_time_millis_training
531.8974860019807
usercpu_time_millis_training
532.7733070007525
usercpu_time_millis_training
533.6949090014969