automl_yeast_model

[(0.960000, MyDummyClassifier(configuration=1, init_params=None, random_state=None)),
(0.020000, SimpleClassificationPipeline({'one_hot_encoding:minimum_fraction': 0.01, 'imputation:strategy': 'mean', 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:n_estimators': 100, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:criterion': 'gini', 'rescaling:__choice__': 'standardize', 'classifier:random_forest:min_samples_split': 2, 'one_hot_encoding:use_minimum_fraction': 'True', 'balancing:strategy': 'none', 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:max_features': 1.0, 'classifier:__choice__': 'random_forest'},
dataset_properties={
  'multilabel': False,
  'task': 2,
  'signed': False,
  'sparse': False,
  'multiclass': True,
  'target_type': 'classification'})),
(0.020000, SimpleClassificationPipeline({'one_hot_encoding:minimum_fraction': 0.010000000000000004, 'imputation:strategy': 'mean', 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:n_estimators': 100, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:criterion': 'gini', 'rescaling:__choice__': 'minmax', 'classifier:random_forest:min_samples_split': 2, 'one_hot_encoding:use_minimum_fraction': 'True', 'balancing:strategy': 'none', 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:max_features': 1.0, 'classifier:__choice__': 'random_forest'},
dataset_properties={
  'multilabel': False,
  'task': 2,
  'signed': False,
  'sparse': False,
  'multiclass': True,
  'target_type': 'classification'})),
]