Run
9201757

Run 9201757

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 26-05-2018 by João Freitas
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Flow

sklearn.pipeline.Pipeline(decisiontreeclassifier=sklearn.tree.tree.Decision TreeClassifier)(2)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(22)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(22)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(22)_max_depth10
sklearn.tree.tree.DecisionTreeClassifier(22)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(22)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(22)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(22)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(22)_min_samples_leaf5
sklearn.tree.tree.DecisionTreeClassifier(22)_min_samples_split18
sklearn.tree.tree.DecisionTreeClassifier(22)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(22)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(22)_random_state48067
sklearn.tree.tree.DecisionTreeClassifier(22)_splitter"best"
sklearn.pipeline.Pipeline(decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2)_memorynull

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
0.9437 ± 0.0435
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8093 ± 0.0818
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6187 ± 0.1634
Cross-validation details (10-fold Crossvalidation)
KB relative information score
383.1202 ± 7.0009
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1516 ± 0.0629
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
556
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8095 ± 0.0842
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8094 ± 0.0817
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8094 ± 0.0817
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3032 ± 0.1259
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2982 ± 0.0663
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5964 ± 0.1326
Cross-validation details (10-fold Crossvalidation)