Run
10560099

Run 10560099

Task 9960 (Supervised Classification) wall-robot-navigation 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_state48403
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
0.9963 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9949 ± 0.0038
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9923 ± 0.0057
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9921 ± 0.0069
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0026 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3312 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.9949 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Number of instances
5456
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9949 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9949 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7146 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0077 ± 0.0057
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4069 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0507 ± 0.0223
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1245 ± 0.0547
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.9921 ± 0.0098
Cross-validation details (10-fold Crossvalidation)