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  1. [(0.5, SimpleClassificationPipeline({'balancing:strategy': 'none', 'categorical_encoding:__choice__': 'no_encoding', 'classifier:__choice__': 'lda', 'imputation:strategy': 'median', 'preprocessor:__choice__': 'f
  2. ast_ica', 'rescaling:__choice__': 'minmax', 'classifier:lda:n_components': 119, 'classifier:lda:shrinkage': 'auto', 'classifier:lda:tol': 0.00021465950575038498, 'preprocessor:fast_ica:algorithm': 'deflation', '
  3. preprocessor:fast_ica:fun': 'cube', 'preprocessor:fast_ica:whiten': 'True', 'preprocessor:fast_ica:n_components': 1618},
  4. dataset_properties={
  5. 'task': 2,
  6. 'sparse': False,
  7. 'multilabel': False,
  8. 'multiclass': True,
  9. 'target_type': 'classification',
  10. 'signed': False})), (0.16, SimpleClassificationPipeline({'balancing:strategy': 'none', 'categorical_encoding:__choice__': 'no_encoding', 'classifier:__choice__': 'lda', 'imputation:strategy': 'most_frequent',
  11. 'preprocessor:__choice__': 'nystroem_sampler', 'rescaling:__choice__': 'robust_scaler', 'classifier:lda:n_components': 60, 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 5.057915601166346e-05, 'prepro
  12. cessor:nystroem_sampler:kernel': 'poly', 'preprocessor:nystroem_sampler:n_components': 927, 'rescaling:robust_scaler:q_max': 0.8870684560625407, 'rescaling:robust_scaler:q_min': 0.26380547721852715, 'preprocesso
  13. r:nystroem_sampler:coef0': -0.9323177503689852, 'preprocessor:nystroem_sampler:degree': 4, 'preprocessor:nystroem_sampler:gamma': 0.8962358200305338},
  14. dataset_properties={
  15. 'task': 2,
  16. 'sparse': False,
  17. 'multilabel': False,
  18. 'multiclass': True,
  19. 'target_type': 'classification',
  20. 'signed': False})), (0.08, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'categorical_encoding:__choice__': 'no_encoding', 'classifier:__choice__': 'qda', 'imputation:strategy': 'mean', 'pre
  21. processor:__choice__': 'liblinear_svc_preprocessor', 'rescaling:__choice__': 'robust_scaler', 'classifier:qda:reg_param': 0.11337653349783328, 'preprocessor:liblinear_svc_preprocessor:C': 82.89704762687131, 'pre
  22. processor:liblinear_svc_preprocessor:dual': 'False', 'preprocessor:liblinear_svc_preprocessor:fit_intercept': 'True', 'preprocessor:liblinear_svc_preprocessor:intercept_scaling': 1, 'preprocessor:liblinear_svc_p
  23. reprocessor:loss': 'squared_hinge', 'preprocessor:liblinear_svc_preprocessor:multi_class': 'ovr', 'preprocessor:liblinear_svc_preprocessor:penalty': 'l1', 'preprocessor:liblinear_svc_preprocessor:tol': 1.6197657
  24. 425698723e-05, 'rescaling:robust_scaler:q_max': 0.7810776004178903, 'rescaling:robust_scaler:q_min': 0.2685467357753518},
  25. dataset_properties={
  26. 'task': 2,
  27. 'sparse': False,
  28. 'multilabel': False,
  29. 'multiclass': True,
  30. 'target_type': 'classification',
  31. 'signed': False})), (0.06, SimpleClassificationPipeline({'balancing:strategy': 'none', 'categorical_encoding:__choice__': 'one_hot_encoding', 'classifier:__choice__': 'random_forest', 'imputation:strategy': 'm
  32. ean', 'preprocessor:__choice__': 'no_preprocessing', 'rescaling:__choice__': 'standardize', 'categorical_encoding:one_hot_encoding:use_minimum_fraction': 'True', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_fores$
  33. :min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'classifier:random_forest$
  34. n_estimators': 100, 'categorical_encoding:one_hot_encoding:minimum_fraction': 0.01},
  35. dataset_properties={
  36. 'task': 2,
  37. 'sparse': False,
  38. 'multilabel': False,
  39. 'multiclass': True,
  40. 'target_type': 'classification',
  41. 'signed': False})), (0.06, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'categorical_encoding:__choice__': 'one_hot_encoding', 'classifier:__choice__': 'random_forest', 'imputation:strateg$': 'most_frequent', 'preprocessor:__choice__': 'feature_agglomeration', 'rescaling:__choice__': 'robust_scaler', 'categorical_encoding:one_hot_encoding:use_minimum_fraction': 'True', 'classifier:random_forest:b$otstrap': 'False', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5565918060287016, 'classifier:random_forest:max_leaf_$
  42. odes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 5, 'classifier:random_forest:min_samples_split': 18, 'classifier:random_forest:min_weight_fract$
  43. on_leaf': 0.0, 'classifier:random_forest:n_estimators': 100, 'preprocessor:feature_agglomeration:affinity': 'cosine', 'preprocessor:feature_agglomeration:linkage': 'complete', 'preprocessor:feature_agglomeratio$
  44. :n_clusters': 173, 'preprocessor:feature_agglomeration:pooling_func': 'max', 'rescaling:robust_scaler:q_max': 0.9527068489270145, 'rescaling:robust_scaler:q_min': 0.04135311355893583, 'categorical_encoding:one_$
  45. ot_encoding:minimum_fraction': 0.0053329726928195206},
  46. dataset_properties={
  47. 'task': 2,
  48. 'sparse': False,
  49. 'multilabel': False,
  50. 'multiclass': True,
  51. 'target_type': 'classification',
  52. 'signed': False})), (0.04, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'categorical_encoding:__choice__': 'one_hot_encoding', 'classifier:__choice__': 'random_forest', 'imputation:strategy
  53. ': 'mean', 'preprocessor:__choice__': 'liblinear_svc_preprocessor', 'rescaling:__choice__': 'none', 'categorical_encoding:one_hot_encoding:use_minimum_fraction': 'False', 'classifier:random_forest:bootstrap': 'F
  54. alse', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:ran
  55. dom_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'classifier:rand
  56. om_forest:n_estimators': 100, 'preprocessor:liblinear_svc_preprocessor:C': 0.20202014999292295, 'preprocessor:liblinear_svc_preprocessor:dual': 'False', 'preprocessor:liblinear_svc_preprocessor:fit_intercept': '
  57. True', 'preprocessor:liblinear_svc_preprocessor:intercept_scaling': 1, 'preprocessor:liblinear_svc_preprocessor:loss': 'squared_hinge', 'preprocessor:liblinear_svc_preprocessor:multi_class': 'ovr', 'preprocessor
  58. :liblinear_svc_preprocessor:penalty': 'l1', 'preprocessor:liblinear_svc_preprocessor:tol': 0.026650505297677905},
  59. dataset_properties={
  60. 'task': 2,
  61. 'sparse': False,
  62. 'multilabel': False,
  63. 'multiclass': True,
  64. 'target_type': 'classification',
  65. 'signed': False})), (0.04, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'categorical_encoding:__choice__': 'one_hot_encoding', 'classifier:__choice__': 'gradient_boosting', 'imputation:str$
  66. tegy': 'mean', 'preprocessor:__choice__': 'liblinear_svc_preprocessor', 'rescaling:__choice__': 'standardize', 'categorical_encoding:one_hot_encoding:use_minimum_fraction': 'True', 'classifier:gradient_boosting$
  67. criterion': 'friedman_mse', 'classifier:gradient_boosting:learning_rate': 0.020474516012597883, 'classifier:gradient_boosting:loss': 'deviance', 'classifier:gradient_boosting:max_depth': 2, 'classifier:gradient$
  68. boosting:max_features': 0.2151620591282045, 'classifier:gradient_boosting:max_leaf_nodes': 'None', 'classifier:gradient_boosting:min_impurity_decrease': 0.0, 'classifier:gradient_boosting:min_samples_leaf': 11,
  69. 'classifier:gradient_boosting:min_samples_split': 11, 'classifier:gradient_boosting:min_weight_fraction_leaf': 0.0, 'classifier:gradient_boosting:n_estimators': 484, 'classifier:gradient_boosting:subsample': 0.$
  70. 0898185035409041, 'preprocessor:liblinear_svc_preprocessor:C': 20.254356522058224, 'preprocessor:liblinear_svc_preprocessor:dual': 'False', 'preprocessor:liblinear_svc_preprocessor:fit_intercept': 'True', 'prep$
  71. ocessor:liblinear_svc_preprocessor:intercept_scaling': 1, 'preprocessor:liblinear_svc_preprocessor:loss': 'squared_hinge', 'preprocessor:liblinear_svc_preprocessor:multi_class': 'ovr', 'preprocessor:liblinear_s$
  72. c_preprocessor:penalty': 'l1', 'preprocessor:liblinear_svc_preprocessor:tol': 0.00047718879270147155, 'categorical_encoding:one_hot_encoding:minimum_fraction': 0.000634119411541892},
  73. dataset_properties={
  74. 'task': 2,
  75. 'sparse': False,
  76. 'multilabel': False,
  77. 'multiclass': True,
  78. 'target_type': 'classification',
  79. 'signed': False})), (0.02, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'categorical_encoding:__choice__': 'no_encoding', 'classifier:__choice__': 'adaboost', 'imputation:strategy': 'media$
  80. ', 'preprocessor:__choice__': 'select_rates', 'rescaling:__choice__': 'robust_scaler', 'classifier:adaboost:algorithm': 'SAMME.R', 'classifier:adaboost:learning_rate': 0.17594939834687667, 'classifier:adaboost:$
  81. ax_depth': 3, 'classifier:adaboost:n_estimators': 171, 'preprocessor:select_rates:alpha': 0.3586865028344499, 'preprocessor:select_rates:mode': 'fpr', 'preprocessor:select_rates:score_func': 'f_classif', 'resca$
  82. ing:robust_scaler:q_max': 0.9791238614029694, 'rescaling:robust_scaler:q_min': 0.16693440597202153},
  83. dataset_properties={
  84. 'task': 2,
  85. 'sparse': False,
  86. 'multilabel': False,
  87. 'multiclass': True,
  88. 'target_type': 'classification',
  89. 'signed': False})), (0.02, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'categorical_encoding:__choice__': 'no_encoding', 'classifier:__choice__': 'extra_trees', 'imputation:strategy': 'mea
  90. n', 'preprocessor:__choice__': 'feature_agglomeration', 'rescaling:__choice__': 'none', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_dept
  91. h': 'None', 'classifier:extra_trees:max_features': 0.8338751730606484, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_le
  92. af': 17, 'classifier:extra_trees:min_samples_split': 12, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'classifier:extra_trees:n_estimators': 100, 'preprocessor:feature_agglomeration:affinity': 'cosine
  93. ', 'preprocessor:feature_agglomeration:linkage': 'average', 'preprocessor:feature_agglomeration:n_clusters': 140, 'preprocessor:feature_agglomeration:pooling_func': 'mean'},
  94. dataset_properties={
  95. 'task': 2,
  96. 'sparse': False,
  97. 'multilabel': False,
  98. 'multiclass': True,
  99. 'target_type': 'classification',
  100. 'signed': False})), (0.02, SimpleClassificationPipeline({'balancing:strategy': 'none', 'categorical_encoding:__choice__': 'no_encoding', 'classifier:__choice__': 'extra_trees', 'imputation:strategy': 'mean', '
  101. preprocessor:__choice__': 'liblinear_svc_preprocessor', 'rescaling:__choice__': 'robust_scaler', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_tree
  102. s:max_depth': 'None', 'classifier:extra_trees:max_features': 0.9990999604490303, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_
  103. samples_leaf': 6, 'classifier:extra_trees:min_samples_split': 4, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'classifier:extra_trees:n_estimators': 100, 'preprocessor:liblinear_svc_preprocessor:C': 2
  104. 4.136430622242006, 'preprocessor:liblinear_svc_preprocessor:dual': 'False', 'preprocessor:liblinear_svc_preprocessor:fit_intercept': 'True', 'preprocessor:liblinear_svc_preprocessor:intercept_scaling': 1, 'prepr
  105. ocessor:liblinear_svc_preprocessor:loss': 'squared_hinge', 'preprocessor:liblinear_svc_preprocessor:multi_class': 'ovr', 'preprocessor:liblinear_svc_preprocessor:penalty': 'l1', 'preprocessor:liblinear_svc_prepr
  106. ocessor:tol': 0.003077255210337526, 'rescaling:robust_scaler:q_max': 0.8963215641064294, 'rescaling:robust_scaler:q_min': 0.160294089836629},
  107. dataset_properties={
  108. 'task': 2,
  109. 'sparse': False,
  110. 'multilabel': False,
  111. 'multiclass': True,
  112. 'target_type': 'classification',
  113. 'signed': False}))]
  114.  
  115. auto-sklearn results:
  116. Dataset name: daea3408b112c2a10f15a21a8cbd473d
  117. Metric: accuracy
  118. Best validation score: 0.839858
  119. Number of target algorithm runs: 58
  120. Number of successful target algorithm runs: 47
  121. Number of crashed target algorithm runs: 3
  122. Number of target algorithms that exceeded the time limit: 6
  123. Number of target algorithms that exceeded the memory limit: 2
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