10220752
1
Jan van Rijn
3512
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)
8146184
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": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
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
8.91597441547284e-05
9667
loss
"deviance"
9667
max_depth
31
9667
max_features
0.20521609691760145
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.17917985850071838
9667
min_impurity_split
null
9667
min_samples_leaf
16
9667
min_samples_split
18
9667
min_weight_fraction_leaf
0.3327181544369368
9667
n_estimators
636
9667
n_iter_no_change
562
9667
presort
"auto"
9667
random_state
58759
9667
subsample
0.9463002809850176
9667
tol
0.012923475622773632
9667
validation_fraction
0.3157393249248234
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
377
synthetic_control
https://www.openml.org/data/download/52417/synthetic_control.arff
-1
21362420
description
https://api.openml.org/data/download/21362420/description.xml
-1
21362421
predictions
https://api.openml.org/data/download/21362421/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
1.3390277154871932
mean_absolute_error
0.2777777777777778
mean_prior_absolute_error
0.2777777777777742
number_of_instances
600 [100,100,100,100,100,100]
predictive_accuracy
0.16666666666666669
prior_entropy
2.584962500721156
recall
0.16666666666666666 [0,0,0,0,1,0]
relative_absolute_error
1.0000000000000129
root_mean_prior_squared_error
0.37267799624996256
root_mean_squared_error
0.37268344140755766
root_relative_squared_error
1.000014610891037
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
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
0.13390277154871902
kb_relative_information_score
0.13390277154871902
kb_relative_information_score
0.13390277154871902
kb_relative_information_score
0.13390277154871902
kb_relative_information_score
0.13390277154871902
kb_relative_information_score
0.13390277154871902
kb_relative_information_score
0.13390277154871902
kb_relative_information_score
0.13390277154871902
kb_relative_information_score
0.13390277154871902
kb_relative_information_score
0.13390277154871902
mean_absolute_error
0.2777777777777779
mean_absolute_error
0.2777777777777779
mean_absolute_error
0.2777777777777779
mean_absolute_error
0.2777777777777779
mean_absolute_error
0.2777777777777779
mean_absolute_error
0.2777777777777779
mean_absolute_error
0.2777777777777779
mean_absolute_error
0.2777777777777779
mean_absolute_error
0.2777777777777779
mean_absolute_error
0.2777777777777779
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
mean_prior_absolute_error
0.2777777777777782
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
number_of_instances
60 [10,10,10,10,10,10]
predictive_accuracy
0.16666666666666669
predictive_accuracy
0.16666666666666669
predictive_accuracy
0.16666666666666669
predictive_accuracy
0.16666666666666669
predictive_accuracy
0.16666666666666669
predictive_accuracy
0.16666666666666669
predictive_accuracy
0.16666666666666669
predictive_accuracy
0.16666666666666669
predictive_accuracy
0.16666666666666669
predictive_accuracy
0.16666666666666669
prior_entropy
2.584962500721156
prior_entropy
2.584962500721156
prior_entropy
2.584962500721156
prior_entropy
2.584962500721156
prior_entropy
2.584962500721156
prior_entropy
2.584962500721156
prior_entropy
2.584962500721156
prior_entropy
2.584962500721156
prior_entropy
2.584962500721156
prior_entropy
2.584962500721156
recall
0.16666666666666666 [0,0,0,0,1,0]
recall
0.16666666666666666 [0,0,0,0,1,0]
recall
0.16666666666666666 [0,0,0,0,1,0]
recall
0.16666666666666666 [0,0,0,0,1,0]
recall
0.16666666666666666 [0,0,0,0,1,0]
recall
0.16666666666666666 [0,0,0,0,1,0]
recall
0.16666666666666666 [0,0,0,0,1,0]
recall
0.16666666666666666 [0,0,0,0,1,0]
recall
0.16666666666666666 [0,0,0,0,1,0]
recall
0.16666666666666666 [0,0,0,0,1,0]
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_prior_squared_error
0.3726779962499652
root_mean_squared_error
0.3726834414075582
root_mean_squared_error
0.3726834414075582
root_mean_squared_error
0.3726834414075582
root_mean_squared_error
0.3726834414075582
root_mean_squared_error
0.3726834414075582
root_mean_squared_error
0.3726834414075582
root_mean_squared_error
0.3726834414075582
root_mean_squared_error
0.3726834414075582
root_mean_squared_error
0.3726834414075582
root_mean_squared_error
0.3726834414075582
root_relative_squared_error
1.0000146108910313
root_relative_squared_error
1.0000146108910313
root_relative_squared_error
1.0000146108910313
root_relative_squared_error
1.0000146108910313
root_relative_squared_error
1.0000146108910313
root_relative_squared_error
1.0000146108910313
root_relative_squared_error
1.0000146108910313
root_relative_squared_error
1.0000146108910313
root_relative_squared_error
1.0000146108910313
root_relative_squared_error
1.0000146108910313
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
2248.9767049955844
usercpu_time_millis
2203.1561069961754
usercpu_time_millis
2189.8919669984025
usercpu_time_millis
2197.366256998066
usercpu_time_millis
2220.284928996989
usercpu_time_millis
2197.5076490016363
usercpu_time_millis
2190.669595001964
usercpu_time_millis
2193.4749810025096
usercpu_time_millis
2193.118355997285
usercpu_time_millis
2193.6585870025738
usercpu_time_millis_testing
2.265670998895075
usercpu_time_millis_testing
2.1639399965351913
usercpu_time_millis_testing
2.241623998997966
usercpu_time_millis_testing
2.0239080004103016
usercpu_time_millis_testing
2.275359998748172
usercpu_time_millis_testing
2.030022002145415
usercpu_time_millis_testing
2.255829000205267
usercpu_time_millis_testing
2.085200001602061
usercpu_time_millis_testing
2.2887649975018576
usercpu_time_millis_testing
2.0946870026818942
usercpu_time_millis_training
2246.7110339966894
usercpu_time_millis_training
2200.99216699964
usercpu_time_millis_training
2187.6503429994045
usercpu_time_millis_training
2195.342348997656
usercpu_time_millis_training
2218.009568998241
usercpu_time_millis_training
2195.477626999491
usercpu_time_millis_training
2188.4137660017586
usercpu_time_millis_training
2191.3897810009075
usercpu_time_millis_training
2190.8295909997832
usercpu_time_millis_training
2191.563899999892