Run
10160806

Run 10160806

Task 2 (Supervised Classification) anneal Uploaded 13-04-2019 by T I
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(15)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(15)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(15)_steps[{"oml-python:serialized_object": "component_reference", "value": {"step_name": "imputer", "key": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "estimator", "key": "estimator"}}]
sklearn.preprocessing.imputation.Imputer(41)_axis0
sklearn.preprocessing.imputation.Imputer(41)_copytrue
sklearn.preprocessing.imputation.Imputer(41)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(41)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(41)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(39)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(39)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(39)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(39)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(39)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(39)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(39)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(39)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(39)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(39)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(39)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(39)_random_state54954
sklearn.tree.tree.DecisionTreeClassifier(39)_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.

17 Evaluation measures

Area under ROC curve
0.9918 ± 0.0138
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9911 ± 0.0148
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9779 ± 0.0357
Cross-validation details (10-fold Crossvalidation)
KB relative information score
855.9874 ± 3.6743
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.003 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9912 ± 0.0108
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9911 ± 0.0146
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9911 ± 0.0146
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0221 ± 0.0366
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0545 ± 0.0457
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.211 ± 0.1777
Cross-validation details (10-fold Crossvalidation)