Run
517701

Run 517701

Task 3632 (Supervised Classification) fri_c1_500_50 Uploaded 30-01-2016 by Rafael Gomes Mantovani
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Flow

classif.cforest(4)Learner classif.cforest from package(s) party.
classif.cforest(4)_seed1
classif.cforest(4)_kindMersenne-Twister
classif.cforest(4)_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.

20 Evaluation measures

Area under ROC curve
0.761
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7628
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5245
Cross-validation details (10-fold Crossvalidation)
KB relative information score
263.2133
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.236
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4989
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7657
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.764
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9984
Cross-validation details (10-fold Crossvalidation)
Recall
0.764
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4731
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4858
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9727
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
17.72
UserCPU time millis testing
1.702
UserCPU time millis training
16.018