Run
483297

Run 483297

Task 59 (Supervised Classification) iris Uploaded 01-12-2015 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
0.9919
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.93
Cross-validation details (10-fold Crossvalidation)
KB relative information score
137.0538
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0455
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9544
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9533
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1024
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1618
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3433
Cross-validation details (10-fold Crossvalidation)