10226521
1
Jan van Rijn
3494
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)
8151953
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": []}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 1, 2, 3, 4, 5]}}]
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
0.0030484830820510975
9667
loss
"deviance"
9667
max_depth
31
9667
max_features
0.08269285760141776
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.3178196606646779
9667
min_impurity_split
null
9667
min_samples_leaf
3
9667
min_samples_split
5
9667
min_weight_fraction_leaf
0.038779607408116534
9667
n_estimators
1430
9667
n_iter_no_change
425
9667
presort
"auto"
9667
random_state
3403
9667
subsample
0.5178516725374223
9667
tol
0.00045903090830542255
9667
validation_fraction
0.6542414261856088
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
335
monks-problems-3
https://www.openml.org/data/download/52238/phphZierv
-1
21373958
description
https://api.openml.org/data/download/21373958/description.xml
-1
21373959
predictions
https://api.openml.org/data/download/21373959/predictions.arff
area_under_roc_curve
0.5016186299081036 [0.501619,0.501619]
average_cost
0
kappa
0
kb_relative_information_score
1.1077858723743903
mean_absolute_error
0.4984817499554734
mean_prior_absolute_error
0.4992143469340059
number_of_instances
554 [266,288]
predictive_accuracy
0.51985559566787
prior_entropy
0.9988703245161819
recall
0.51985559566787 [0,1]
relative_absolute_error
0.9985325001514243
root_mean_prior_squared_error
0.49960560487440536
root_mean_squared_error
0.499933571917043
root_relative_squared_error
1.0006564518881251
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
0.08096382743643397
kb_relative_information_score
0.08096382743643397
kb_relative_information_score
0.08096382743643397
kb_relative_information_score
0.08096382743643397
kb_relative_information_score
0.05599504018776104
kb_relative_information_score
0.05599504018776104
kb_relative_information_score
0.1679851205632831
kb_relative_information_score
0.1679851205632831
kb_relative_information_score
0.1679851205632831
kb_relative_information_score
0.1679851205632831
mean_absolute_error
0.4987657539961422
mean_absolute_error
0.4987657539961422
mean_absolute_error
0.4987657539961422
mean_absolute_error
0.4987657539961422
mean_absolute_error
0.49926670205220264
mean_absolute_error
0.49926670205220264
mean_absolute_error
0.497800106156608
mean_absolute_error
0.497800106156608
mean_absolute_error
0.497800106156608
mean_absolute_error
0.497800106156608
mean_prior_absolute_error
0.4992934224049325
mean_prior_absolute_error
0.4992934224049325
mean_prior_absolute_error
0.4992934224049325
mean_prior_absolute_error
0.4992934224049325
mean_prior_absolute_error
0.4996402877697835
mean_prior_absolute_error
0.4996402877697835
mean_prior_absolute_error
0.49892086330935187
mean_prior_absolute_error
0.49892086330935187
mean_prior_absolute_error
0.49892086330935187
mean_prior_absolute_error
0.49892086330935187
number_of_instances
56 [27,29]
number_of_instances
56 [27,29]
number_of_instances
56 [27,29]
number_of_instances
56 [27,29]
number_of_instances
55 [27,28]
number_of_instances
55 [27,28]
number_of_instances
55 [26,29]
number_of_instances
55 [26,29]
number_of_instances
55 [26,29]
number_of_instances
55 [26,29]
predictive_accuracy
0.5178571428571428
predictive_accuracy
0.5178571428571428
predictive_accuracy
0.5178571428571428
predictive_accuracy
0.5178571428571428
predictive_accuracy
0.509090909090909
predictive_accuracy
0.509090909090909
predictive_accuracy
0.5272727272727272
predictive_accuracy
0.5272727272727272
predictive_accuracy
0.5272727272727272
predictive_accuracy
0.5272727272727272
prior_entropy
0.9988703245161819
prior_entropy
0.9988703245161819
prior_entropy
0.9988703245161819
prior_entropy
0.9988703245161819
prior_entropy
0.9988703245161819
prior_entropy
0.9988703245161819
prior_entropy
0.9988703245161819
prior_entropy
0.9988703245161819
prior_entropy
0.9988703245161819
prior_entropy
0.9988703245161819
recall
0.5178571428571429 [0,1]
recall
0.5178571428571429 [0,1]
recall
0.5178571428571429 [0,1]
recall
0.5178571428571429 [0,1]
recall
0.509090909090909 [0,1]
recall
0.509090909090909 [0,1]
recall
0.5272727272727272 [0,1]
recall
0.5272727272727272 [0,1]
recall
0.5272727272727272 [0,1]
recall
0.5272727272727272 [0,1]
relative_absolute_error
0.9989431697172201
relative_absolute_error
0.9989431697172201
relative_absolute_error
0.9989431697172201
relative_absolute_error
0.9989431697172201
relative_absolute_error
0.9992522906444385
relative_absolute_error
0.9992522906444385
relative_absolute_error
0.9977536374299726
relative_absolute_error
0.9977536374299726
relative_absolute_error
0.9977536374299726
relative_absolute_error
0.9977536374299726
root_mean_prior_squared_error
0.49968473650177464
root_mean_prior_squared_error
0.49968473650177464
root_mean_prior_squared_error
0.49968473650177464
root_mean_prior_squared_error
0.49968473650177464
root_mean_prior_squared_error
0.5000317002527929
root_mean_prior_squared_error
0.5000317002527929
root_mean_prior_squared_error
0.49931180318240753
root_mean_prior_squared_error
0.49931180318240753
root_mean_prior_squared_error
0.49931180318240753
root_mean_prior_squared_error
0.49931180318240753
root_mean_squared_error
0.4999600691489316
root_mean_squared_error
0.4999600691489316
root_mean_squared_error
0.4999600691489316
root_mean_squared_error
0.4999600691489316
root_mean_squared_error
0.5008925262368564
root_mean_squared_error
0.5008925262368564
root_mean_squared_error
0.49942639792500493
root_mean_squared_error
0.49942639792500493
root_mean_squared_error
0.49942639792500493
root_mean_squared_error
0.49942639792500493
root_relative_squared_error
1.0005510127227109
root_relative_squared_error
1.0005510127227109
root_relative_squared_error
1.0005510127227109
root_relative_squared_error
1.0005510127227109
root_relative_squared_error
1.0017215428214419
root_relative_squared_error
1.0017215428214419
root_relative_squared_error
1.0002295053749322
root_relative_squared_error
1.0002295053749322
root_relative_squared_error
1.0002295053749322
root_relative_squared_error
1.0002295053749322
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
203.98697500058915
usercpu_time_millis
202.8327369989711
usercpu_time_millis
201.70403600059217
usercpu_time_millis
186.48388599831378
usercpu_time_millis
185.75593800051138
usercpu_time_millis
185.7725070003653
usercpu_time_millis
185.29555100394646
usercpu_time_millis
186.04477500048233
usercpu_time_millis
187.95590800436912
usercpu_time_millis
186.94244499056367
usercpu_time_millis_testing
1.799231999029871
usercpu_time_millis_testing
1.9788520003203303
usercpu_time_millis_testing
2.0048130027134903
usercpu_time_millis_testing
1.7210700025316328
usercpu_time_millis_testing
1.6693930010660551
usercpu_time_millis_testing
1.650407000852283
usercpu_time_millis_testing
1.668774006247986
usercpu_time_millis_testing
1.7409610009053722
usercpu_time_millis_testing
1.7577350008650683
usercpu_time_millis_testing
1.8546649953350425
usercpu_time_millis_training
202.18774300155928
usercpu_time_millis_training
200.85388499865076
usercpu_time_millis_training
199.69922299787868
usercpu_time_millis_training
184.76281599578215
usercpu_time_millis_training
184.08654499944532
usercpu_time_millis_training
184.122099999513
usercpu_time_millis_training
183.62677699769847
usercpu_time_millis_training
184.30381399957696
usercpu_time_millis_training
186.19817300350405
usercpu_time_millis_training
185.08777999522863