Run
10560010

Run 10560010

Task 9985 (Supervised Classification) first-order-theorem-proving Uploaded 13-08-2021 by Sergey Redyuk
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Flow

sklearn.tree.tree.DecisionTreeClassifier(65)A decision tree classifier.
sklearn.tree.tree.DecisionTreeClassifier(65)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(65)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(65)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(65)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(65)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(65)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(65)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(65)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(65)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(65)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(65)_random_state30956
sklearn.tree.tree.DecisionTreeClassifier(65)_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
0.7247 ± 0.0145
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5587 ± 0.0207
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4128 ± 0.0278
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.4272 ± 0.0248
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1483 ± 0.0069
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2508 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.5567 ± 0.0211
Cross-validation details (10-fold Crossvalidation)
Number of instances
6118
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5611 ± 0.0204
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5567 ± 0.0211
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5915 ± 0.0275
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3541 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3809 ± 0.009
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0758 ± 0.0253
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.4607 ± 0.0239
Cross-validation details (10-fold Crossvalidation)