Run
494813

Run 494813

Task 3654 (Supervised Classification) fri_c1_100_10 Uploaded 03-12-2015 by Rafael Gomes Mantovani
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Flow

classif.ctree(2)Learner classif.ctree from package(s) party.
classif.ctree(2)_seed1
classif.ctree(2)_kindMersenne-Twister
classif.ctree(2)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.6176 ± 0.1512
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5733 ± 0.1866
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1753 ± 0.3
Cross-validation details (10-fold Crossvalidation)
KB relative information score
14.4011 ± 2.3516
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4304 ± 0.1068
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6117 ± 0.2379
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6 ± 0.1491
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10-fold Crossvalidation)
Recall
0.6 ± 0.1491
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8638 ± 0.2162
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5084 ± 0.0777
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0186 ± 0.1585
Cross-validation details (10-fold Crossvalidation)