Run
7810118

Run 7810118

Task 53 (Supervised Classification) vehicle Uploaded 09-09-2017 by Benjamin Strang
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_memorynull
sklearn.preprocessing.imputation.Imputer(7)_axis0
sklearn.preprocessing.imputation.Imputer(7)_copytrue
sklearn.preprocessing.imputation.Imputer(7)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(7)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(7)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(13)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(13)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(13)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(13)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(13)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(13)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(13)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(13)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(13)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(13)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(13)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(13)_random_state32626
sklearn.tree.tree.DecisionTreeClassifier(13)_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
0.7937 ± 0.0327
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6906 ± 0.0459
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5885 ± 0.0643
Cross-validation details (10-fold Crossvalidation)
KB relative information score
531.6215 ± 4.8208
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1543 ± 0.0241
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6901 ± 0.0427
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6915 ± 0.0481
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.6915 ± 0.0481
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4115 ± 0.0642
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3928 ± 0.0315
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9072 ± 0.0727
Cross-validation details (10-fold Crossvalidation)