9954188
6892
Scikit-learn Bot
9952
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
null
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n_jobs
null
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sparse_threshold
0.3
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transformer_weights
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memory
null
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axis
0
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copy
true
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missing_values
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strategy
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verbose
0
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true
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with_std
true
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memory
null
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copy
true
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fill_value
-1
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missing_values
NaN
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strategy
"constant"
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verbose
0
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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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handle_unknown
"ignore"
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n_values
null
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sparse
true
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threshold
0.0
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criterion
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init
null
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learning_rate
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loss
"deviance"
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max_depth
1
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max_features
0.4190984455252539
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max_leaf_nodes
null
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min_impurity_split
null
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min_samples_leaf
14
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min_samples_split
8
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min_weight_fraction_leaf
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n_estimators
75
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n_iter_no_change
524
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presort
"auto"
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random_state
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subsample
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tol
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validation_fraction
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verbose
0
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warm_start
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openml-python
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phoneme
https://www.openml.org/data/download/1592281/php8Mz7BG
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20828891
description
https://api.openml.org/data/download/20828891/description.xml
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20828892
predictions
https://api.openml.org/data/download/20828892/predictions.arff
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0.4992436438004884 [0.499244,0.499244]
average_cost
0
kappa
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number_of_instances
5404 [3818,1586]
predictive_accuracy
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relative_absolute_error
1.0008283104333993
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0.4553593089081206
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0.45536801763801993
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1.0000191249629224
total_cost
0
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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]
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0.5 [0.5,0.5]
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0.5 [0.5,0.5]
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0.5 [0.5,0.5]
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kb_relative_information_score
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kb_relative_information_score
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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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number_of_instances
541 [382,159]
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541 [382,159]
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541 [382,159]
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540 [382,158]
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540 [382,158]
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540 [382,158]
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540 [382,158]
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540 [381,159]
number_of_instances
540 [381,159]
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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recall
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recall
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recall
0.7060998151571165 [1,0]
recall
0.7060998151571165 [1,0]
recall
0.7074074074074074 [1,0]
recall
0.7074074074074074 [1,0]
recall
0.7074074074074074 [1,0]
recall
0.7074074074074074 [1,0]
recall
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recall
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relative_absolute_error
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usercpu_time_millis
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usercpu_time_millis_training
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