Run
6131479

Run 6131479

Task 146609 (Supervised Classification) xerces-init Uploaded 22-08-2017 by Silvia Nunes
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.tree.tree.ExtraTreeClassifier(3)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(3)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(3)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(3)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(3)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(3)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(3)_min_impurity_split1e-07
sklearn.tree.tree.ExtraTreeClassifier(3)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(3)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(3)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(3)_random_state18766
sklearn.tree.tree.ExtraTreeClassifier(3)_splitter"random"

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.

17 Evaluation measures

Area under ROC curve
0.6791 ± 0.0872
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6729 ± 0.0676
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3445 ± 0.1275
Cross-validation details (10-fold Crossvalidation)
KB relative information score
57.0527 ± 2.5468
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.323 ± 0.0775
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4988 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Number of instances
162
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6731 ± 0.0677
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6728 ± 0.0642
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9983
Cross-validation details (10-fold Crossvalidation)
Recall
0.6728 ± 0.0642
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6477 ± 0.1549
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4994 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5644 ± 0.0729
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1302 ± 0.1456
Cross-validation details (10-fold Crossvalidation)