Run
10432734

Run 10432734

Task 6 (Supervised Classification) letter 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_state42938
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
0.938 ± 0.0019
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.881 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8761 ± 0.0038
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8793 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0092 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8809 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8812 ± 0.0036
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8809 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998 ± 0
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1239 ± 0.0038
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0957 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4978 ± 0.0077
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.8806 ± 0.0036
Cross-validation details (10-fold Crossvalidation)