Run
9201756

Run 9201756

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_state41425
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
0.9442 ± 0.0489
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.811 ± 0.0921
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6223 ± 0.1842
Cross-validation details (10-fold Crossvalidation)
KB relative information score
385.242 ± 7.3206
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1495 ± 0.0647
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
0.8118 ± 0.0961
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8112 ± 0.0921
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8112 ± 0.0921
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2991 ± 0.1294
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2966 ± 0.0686
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5932 ± 0.1372
Cross-validation details (10-fold Crossvalidation)