Run
10432751

Run 10432751

Task 11 (Supervised Classification) balance-scale Uploaded 13-12-2019 by Evan Peterson
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Flow

sklearn.tree._classes.DecisionTreeClassifier(2)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(2)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(2)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(2)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(2)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(2)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(2)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(2)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(2)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(2)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(2)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(2)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(2)_presort"deprecated"
sklearn.tree._classes.DecisionTreeClassifier(2)_random_state19135
sklearn.tree._classes.DecisionTreeClassifier(2)_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.

18 Evaluation measures

Area under ROC curve
0.839 ± 0.0258
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7948 ± 0.0287
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6214 ± 0.0607
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5608 ± 0.0598
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1472 ± 0.0262
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7792 ± 0.0392
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8113 ± 0.0282
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7792 ± 0.0392
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3181 ± 0.0124
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3876 ± 0.0685
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3837 ± 0.0355
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8808 ± 0.0808
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.5693 ± 0.0306
Cross-validation details (10-fold Crossvalidation)