10218172
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)
8143604
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
"mae"
9667
init
null
9667
learning_rate
0.0009884875324615182
9667
loss
"deviance"
9667
max_depth
27
9667
max_features
0.27740352493761133
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.8492442982344801
9667
min_impurity_split
null
9667
min_samples_leaf
1
9667
min_samples_split
15
9667
min_weight_fraction_leaf
0.32689576483120664
9667
n_estimators
66
9667
n_iter_no_change
111
9667
presort
"auto"
9667
random_state
14853
9667
subsample
0.9437596991586408
9667
tol
0.0021825994066879844
9667
validation_fraction
0.7761145352174904
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
21357260
description
https://api.openml.org/data/download/21357260/description.xml
-1
21357261
predictions
https://api.openml.org/data/download/21357261/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
8.93148773631529
mean_absolute_error
0.48654585658622
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
0.9854033663875456
root_mean_prior_squared_error
0.49685415342632255
root_mean_squared_error
0.5009752287770565
root_relative_squared_error
1.008294336119191
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
0.9569451146052101
kb_relative_information_score
0.9569451146052101
kb_relative_information_score
0.9569451146052101
kb_relative_information_score
0.9569451146052101
kb_relative_information_score
0.9569451146052101
kb_relative_information_score
0.9569451146052101
kb_relative_information_score
0.9569451146052101
kb_relative_information_score
0.9569451146052101
kb_relative_information_score
0.6379634097368069
kb_relative_information_score
0.6379634097368069
mean_absolute_error
0.4855848463423785
mean_absolute_error
0.4855848463423785
mean_absolute_error
0.4855848463423785
mean_absolute_error
0.4855848463423785
mean_absolute_error
0.4855848463423785
mean_absolute_error
0.4855848463423785
mean_absolute_error
0.4855848463423785
mean_absolute_error
0.4855848463423785
mean_absolute_error
0.49038989756158563
mean_absolute_error
0.49038989756158563
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
0.9843466033915108
relative_absolute_error
0.9843466033915108
relative_absolute_error
0.9843466033915108
relative_absolute_error
0.9843466033915108
relative_absolute_error
0.9843466033915108
relative_absolute_error
0.9843466033915108
relative_absolute_error
0.9843466033915108
relative_absolute_error
0.9843466033915108
relative_absolute_error
0.989611386782102
relative_absolute_error
0.989611386782102
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
0.5000151693742712
root_mean_squared_error
0.5000151693742712
root_mean_squared_error
0.5000151693742712
root_mean_squared_error
0.5000151693742712
root_mean_squared_error
0.5000151693742712
root_mean_squared_error
0.5000151693742712
root_mean_squared_error
0.5000151693742712
root_mean_squared_error
0.5000151693742712
root_mean_squared_error
0.5047972076226137
root_mean_squared_error
0.5047972076226137
root_relative_squared_error
1.0072728116434977
root_relative_squared_error
1.0072728116434977
root_relative_squared_error
1.0072728116434977
root_relative_squared_error
1.0072728116434977
root_relative_squared_error
1.0072728116434977
root_relative_squared_error
1.0072728116434977
root_relative_squared_error
1.0072728116434977
root_relative_squared_error
1.0072728116434977
root_relative_squared_error
1.0123336281870032
root_relative_squared_error
1.0123336281870032
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
65.26268699781212
usercpu_time_millis
60.58350499915832
usercpu_time_millis
60.2817299986782
usercpu_time_millis
60.41732899939234
usercpu_time_millis
60.225291999813635
usercpu_time_millis
60.15327199929743
usercpu_time_millis
60.668789001283585
usercpu_time_millis
59.02523300028406
usercpu_time_millis
55.21233599938569
usercpu_time_millis
55.13444499956677
usercpu_time_millis_testing
3.1098749986995244
usercpu_time_millis_testing
3.0851039991830476
usercpu_time_millis_testing
3.065966999201919
usercpu_time_millis_testing
3.0831770000077086
usercpu_time_millis_testing
3.0765550000069197
usercpu_time_millis_testing
3.068996000365587
usercpu_time_millis_testing
3.085751000980963
usercpu_time_millis_testing
2.8254560002096696
usercpu_time_millis_testing
2.831075000358396
usercpu_time_millis_testing
2.850460999979987
usercpu_time_millis_training
62.1528119991126
usercpu_time_millis_training
57.498400999975274
usercpu_time_millis_training
57.21576299947628
usercpu_time_millis_training
57.33415199938463
usercpu_time_millis_training
57.148736999806715
usercpu_time_millis_training
57.084275998931844
usercpu_time_millis_training
57.58303800030262
usercpu_time_millis_training
56.19977700007439
usercpu_time_millis_training
52.38126099902729
usercpu_time_millis_training
52.28398399958678