9910147
6892
Scikit-learn Bot
14
Supervised Classification
8834
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)(1)
7839540
memory
null
8834
n_jobs
null
8835
remainder
"passthrough"
8835
sparse_threshold
0.3
8835
transformer_weights
null
8835
memory
null
8836
axis
0
8837
copy
true
8837
missing_values
"NaN"
8837
strategy
"median"
8837
verbose
0
8837
copy
true
8838
with_mean
true
8838
with_std
true
8838
memory
null
8839
copy
true
8840
fill_value
-1
8840
missing_values
NaN
8840
strategy
"constant"
8840
verbose
0
8840
categorical_features
null
8841
categories
null
8841
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8841
handle_unknown
"ignore"
8841
n_values
null
8841
sparse
true
8841
threshold
0.0
8842
criterion
"mae"
8843
init
null
8843
learning_rate
0.05143612923477821
8843
loss
"deviance"
8843
max_depth
7
8843
max_features
0.4120733082754281
8843
max_leaf_nodes
null
8843
min_impurity_decrease
0.24975485017515353
8843
min_impurity_split
null
8843
min_samples_leaf
3
8843
min_samples_split
11
8843
min_weight_fraction_leaf
0.3584386299069056
8843
n_estimators
339
8843
n_iter_no_change
334
8843
presort
"auto"
8843
random_state
34920
8843
subsample
0.5538184312074672
8843
tol
0.00024255755616433533
8843
validation_fraction
0.09489506918986212
8843
verbose
0
8843
warm_start
false
8843
openml-python
Sklearn_0.20.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
20740750
description
https://api.openml.org/data/download/20740750/description.xml
-1
20740751
predictions
https://api.openml.org/data/download/20740751/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
6.102915994083366
mean_absolute_error
0.18000000000000116
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
predictive_accuracy
0.1
prior_entropy
3.321928094887362
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
relative_absolute_error
0.9999999999999757
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.3000083248297452
root_relative_squared_error
1.0000277494324685
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
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
0.6102915994083421
kb_relative_information_score
0.6102915994083421
kb_relative_information_score
0.6102915994083421
kb_relative_information_score
0.6102915994083421
kb_relative_information_score
0.6102915994083421
kb_relative_information_score
0.6102915994083421
kb_relative_information_score
0.6102915994083421
kb_relative_information_score
0.6102915994083421
kb_relative_information_score
0.6102915994083421
kb_relative_information_score
0.6102915994083421
mean_absolute_error
0.18000000000000013
mean_absolute_error
0.18000000000000013
mean_absolute_error
0.18000000000000013
mean_absolute_error
0.18000000000000013
mean_absolute_error
0.18000000000000013
mean_absolute_error
0.18000000000000013
mean_absolute_error
0.18000000000000013
mean_absolute_error
0.18000000000000013
mean_absolute_error
0.18000000000000013
mean_absolute_error
0.18000000000000013
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
relative_absolute_error
1.0000000000000018
relative_absolute_error
1.0000000000000018
relative_absolute_error
1.0000000000000018
relative_absolute_error
1.0000000000000018
relative_absolute_error
1.0000000000000018
relative_absolute_error
1.0000000000000018
relative_absolute_error
1.0000000000000018
relative_absolute_error
1.0000000000000018
relative_absolute_error
1.0000000000000018
relative_absolute_error
1.0000000000000018
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.30000832482974477
root_mean_squared_error
0.30000832482974477
root_mean_squared_error
0.30000832482974477
root_mean_squared_error
0.30000832482974477
root_mean_squared_error
0.30000832482974477
root_mean_squared_error
0.30000832482974477
root_mean_squared_error
0.30000832482974477
root_mean_squared_error
0.30000832482974477
root_mean_squared_error
0.30000832482974477
root_mean_squared_error
0.30000832482974477
root_relative_squared_error
1.0000277494324832
root_relative_squared_error
1.0000277494324832
root_relative_squared_error
1.0000277494324832
root_relative_squared_error
1.0000277494324832
root_relative_squared_error
1.0000277494324832
root_relative_squared_error
1.0000277494324832
root_relative_squared_error
1.0000277494324832
root_relative_squared_error
1.0000277494324832
root_relative_squared_error
1.0000277494324832
root_relative_squared_error
1.0000277494324832
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
108180.55938199905
usercpu_time_millis
107858.60077599864
usercpu_time_millis
107988.04536999887
usercpu_time_millis
107601.70107099839
usercpu_time_millis
107936.51346099796
usercpu_time_millis
108046.7289799999
usercpu_time_millis
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usercpu_time_millis
107673.3861419998
usercpu_time_millis
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usercpu_time_millis
108059.921019998
usercpu_time_millis_testing
7.000177000008989
usercpu_time_millis_testing
6.42744499782566
usercpu_time_millis_testing
7.073590000800323
usercpu_time_millis_testing
6.41007800004445
usercpu_time_millis_testing
6.824090000009164
usercpu_time_millis_testing
6.271109999943292
usercpu_time_millis_testing
7.098353999026585
usercpu_time_millis_testing
6.5709730006346945
usercpu_time_millis_testing
7.176074999733828
usercpu_time_millis_testing
6.301312998402864
usercpu_time_millis_training
108173.55920499904
usercpu_time_millis_training
107852.17333100081
usercpu_time_millis_training
107980.97177999807
usercpu_time_millis_training
107595.29099299834
usercpu_time_millis_training
107929.68937099795
usercpu_time_millis_training
108040.45786999995
usercpu_time_millis_training
107504.59842700002
usercpu_time_millis_training
107666.81516899916
usercpu_time_millis_training
108262.26094199956
usercpu_time_millis_training
108053.6197069996