Run
517329

Run 517329

Task 9909 (Supervised Classification) autoUniv-au1-1000 Uploaded 29-01-2016 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
0.5679
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7052
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.184
Cross-validation details (10-fold Crossvalidation)
KB relative information score
333.5818
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.231
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7714
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.769
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.769
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6015
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4806
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0971
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
67.628
UserCPU time millis testing
7.846
UserCPU time millis training
59.782