Run
8148658

Run 8148658

Task 119 (Learning Curve) zoo Uploaded 18-10-2017 by Toon Van Craenendonck
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
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

TESTaa4d91fe80sklearn.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.
TESTaa4d91fe80sklearn.preprocessing.imputation.Imputer(1)_axis0
TESTaa4d91fe80sklearn.preprocessing.imputation.Imputer(1)_copytrue
TESTaa4d91fe80sklearn.preprocessing.imputation.Imputer(1)_missing_values"NaN"
TESTaa4d91fe80sklearn.preprocessing.imputation.Imputer(1)_strategy"median"
TESTaa4d91fe80sklearn.preprocessing.imputation.Imputer(1)_verbose0
TESTaa4d91fe80sklearn.feature_selection.variance_threshold.VarianceThreshold(1)_threshold0.0
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_cv3
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_error_score"raise"
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_fit_params{}
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_iidtrue
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_n_iter10
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_n_jobs1
TESTaa4d91fe80sklearn.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]}
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_pre_dispatch"2*n_jobs"
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_random_state33003
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_refittrue
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_return_train_scoretrue
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_scoringnull
TESTaa4d91fe80sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_verbose0
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_class_weightnull
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_criterion"gini"
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_max_depthnull
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_max_featuresnull
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_max_leaf_nodesnull
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_min_impurity_split1e-07
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_min_samples_leaf1
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_min_samples_split2
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_min_weight_fraction_leaf0.0
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_presortfalse
TESTaa4d91fe80sklearn.tree.tree.DecisionTreeClassifier(1)_random_state62501
TESTaa4d91fe80sklearn.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