Run
8148640

Run 8148640

Task 119 (Learning Curve) zoo Uploaded 18-10-2017 by Toon Van Craenendonck
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Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1, 0), predictive_accuracy(1, 1, 0), root_mean_squared_error(1, 1, 0), prior_entropy(1, 1, 0), total_cost(1, 1, 0), root_relative_squared_error(1, 1, 0), area_under_roc_curve(1, 1, 0), mean_prior_absolute_error(1, 1, 0), average_cost(1, 1, 0), number_of_instances(1, 1, 0), recall(1, 1, 0), kb_relative_information_score(1, 1, 0), kappa(1, 1, 0), root_mean_prior_squared_error(1, 1, 0), relative_absolute_error(1, 1, 0), mean_absolute_error(1, 1, 1), predictive_accuracy(1, 1, 1), root_mean_squared_error(1, 1, 1), prior_entropy(1, 1, 1), total_cost(1, 1, 1), f_measure(1, 1, 1), root_relative_squared_error(1, 1, 1), area_under_roc_curve(1, 1, 1), mean_prior_absolute_error(1, 1, 1), precision(1, 1, 1), average_cost(1, 1, 1), number_of_instances(1, 1, 1), recall(1, 1, 1), kb_relative_information_score(1, 1, 1), kappa(1, 1, 1), root_mean_prior_squared_error(1, 1, ... (message cut-off due to excessive length)
Issue #Downvotes for this reason By


Flow

TESTd8347ef9afsklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imput ation.Imputer,VarianceThreshold=sklearn.feature_selection.variance_threshol d.VarianceThreshold,Estimator=sklearn.model_selection._search.RandomizedSea rchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)Automatically created scikit-learn flow.
TESTd8347ef9afsklearn.preprocessing.imputation.Imputer(1)_axis0
TESTd8347ef9afsklearn.preprocessing.imputation.Imputer(1)_copytrue
TESTd8347ef9afsklearn.preprocessing.imputation.Imputer(1)_missing_values"NaN"
TESTd8347ef9afsklearn.preprocessing.imputation.Imputer(1)_strategy"median"
TESTd8347ef9afsklearn.preprocessing.imputation.Imputer(1)_verbose0
TESTd8347ef9afsklearn.feature_selection.variance_threshold.VarianceThreshold(1)_threshold0.0
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_cv3
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_error_score"raise"
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_fit_params{}
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_iidtrue
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_n_iter10
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_n_jobs1
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_param_distributions{"min_samples_leaf": [1, 2, 4, 8, 16, 32, 64], "min_samples_split": [2, 4, 8, 16, 32, 64, 128]}
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_pre_dispatch"2*n_jobs"
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_random_state33003
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_refittrue
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_return_train_scoretrue
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_scoringnull
TESTd8347ef9afsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_verbose0
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_class_weightnull
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_criterion"gini"
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_max_depthnull
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_max_featuresnull
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_max_leaf_nodesnull
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_min_impurity_split1e-07
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_min_samples_leaf1
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_min_samples_split2
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_min_weight_fraction_leaf0.0
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_presortfalse
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_random_state62501
TESTd8347ef9afsklearn.tree.tree.DecisionTreeClassifier(1)_splitter"best"

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

0 Evaluation measures