Run
10560047

Run 10560047

Task 53 (Supervised Classification) vehicle 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_state11212
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
0.8008 ± 0.0314
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7015 ± 0.0429
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6026 ± 0.0613
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6411 ± 0.0552
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1489 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7021 ± 0.0457
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7017 ± 0.0416
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7021 ± 0.0457
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3973 ± 0.061
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3859 ± 0.0301
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8914 ± 0.0695
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.7042 ± 0.0435
Cross-validation details (10-fold Crossvalidation)