Run
492175

Run 492175

Task 3637 (Supervised Classification) analcatdata_michiganacc Uploaded 03-12-2015 by Rafael Gomes Mantovani
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Flow

classif.cforest(2)Learner classif.cforest from package(s) party.
classif.cforest(2)_seed1
classif.cforest(2)_kindMersenne-Twister
classif.cforest(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
0.7997
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7108
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4126
Cross-validation details (10-fold Crossvalidation)
KB relative information score
34.6238
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3443
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
108
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7118
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.713
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9914
Cross-validation details (10-fold Crossvalidation)
Recall
0.713
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.697
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4269
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8591
Cross-validation details (10-fold Crossvalidation)