9954237
6892
Scikit-learn Bot
125921
Supervised Classification
8890
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)(3)
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memory
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n_jobs
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transformer_weights
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memory
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axis
0
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copy
true
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missing_values
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strategy
"median"
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verbose
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memory
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missing_values
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strategy
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verbose
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categorical_features
null
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categories
null
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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threshold
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criterion
"mse"
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init
null
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learning_rate
0.04426006442246963
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loss
"deviance"
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max_depth
7
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max_features
0.9852496556960577
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max_leaf_nodes
null
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min_impurity_decrease
0.8568476253645437
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min_impurity_split
null
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min_samples_leaf
2
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min_samples_split
8
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min_weight_fraction_leaf
0.20392547481548073
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n_estimators
215
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n_iter_no_change
232
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presort
"auto"
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random_state
6861
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subsample
0.9500141940112269
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tol
0.00021128360959744996
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validation_fraction
0.6523052718925489
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verbose
0
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warm_start
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openml-python
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40496
LED-display-domain-7digit
https://www.openml.org/data/download/4535757/phpSj3fWL
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20828990
description
https://api.openml.org/data/download/20828990/description.xml
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predictions
https://api.openml.org/data/download/20828991/predictions.arff
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0.4892870287148938 [0.469475,0.5,0.501092,0.479209,0.5,0.489269,0.501174,0.488119,0.47784,0.489819]
average_cost
0
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number_of_instances
500 [45,37,51,57,52,52,47,57,53,49]
predictive_accuracy
0.106
prior_entropy
3.3126901837382854
recall
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relative_absolute_error
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1.0020736635996006
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
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area_under_roc_curve
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area_under_roc_curve
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kb_relative_information_score
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1.2631046655513563
kb_relative_information_score
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kb_relative_information_score
1.2631046655513563
mean_absolute_error
0.17956922954939147
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0.17956922954939147
mean_absolute_error
0.17957390363047923
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
50 [4,4,5,5,5,5,5,6,6,5]
number_of_instances
50 [4,4,5,5,5,5,5,6,6,5]
number_of_instances
50 [4,4,5,5,5,6,4,6,6,5]
number_of_instances
50 [4,4,5,6,5,6,4,6,5,5]
number_of_instances
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number_of_instances
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50 [5,4,5,6,5,5,5,5,5,5]
number_of_instances
50 [5,3,5,6,5,5,5,6,5,5]
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
recall
0.12 [0,0,0,0,0,0,0,0,1,0]
recall
0.12 [0,0,0,0,0,0,0,0,1,0]
recall
0.12 [0,0,0,0,0,0,0,0,1,0]
recall
0.1 [0,0,0,0,0,0,0,0,1,0]
recall
0.1 [0,0,0,0,0,0,0,0,1,0]
recall
0.1 [0,0,0,0,0,0,0,0,1,0]
recall
0.1 [0,0,0,0,0,0,0,0,1,0]
recall
0.1 [0,0,0,0,0,0,0,0,1,0]
recall
0.1 [0,0,0,0,0,0,0,0,1,0]
recall
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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total_cost
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usercpu_time_millis
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