Run
9203164

Run 9203164

Task 3 (Supervised Classification) kr-vs-kp Uploaded 05-06-2018 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_state16865
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
0.9985 ± 0.002
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9884 ± 0.0065
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9768 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3099.9817 ± 4.7364
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0158 ± 0.007
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9884 ± 0.0065
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9884 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9884 ± 0.0065
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0317 ± 0.0141
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0945 ± 0.0269
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1892 ± 0.0538
Cross-validation details (10-fold Crossvalidation)