Run
10432745

Run 10432745

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_state8136
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
0.9389 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8826 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8778 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.881 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.009 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8825 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8828 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8825 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998 ± 0
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1222 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0951 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4944 ± 0.0092
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.8822 ± 0.0042
Cross-validation details (10-fold Crossvalidation)