Run
10559820

Run 10559820

Task 6 (Supervised Classification) letter Uploaded 17-03-2021 by Pieter Gijsbers
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Flow

sklearn.tree._classes.DecisionTreeClassifier(16)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(16)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(16)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(16)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(16)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(16)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(16)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(16)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(16)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(16)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(16)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(16)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(16)_random_state21892
sklearn.tree._classes.DecisionTreeClassifier(16)_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
0.9388 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8824 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8776 ± 0.0056
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8809 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.009 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8824 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8826 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8824 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998 ± 0
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1224 ± 0.0056
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 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4947 ± 0.0115
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.8821 ± 0.0054
Cross-validation details (10-fold Crossvalidation)