Run
509978

Run 509978

Task 3641 (Supervised Classification) fri_c2_100_25 Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.ranger(3)Learner classif.ranger from package(s) ranger.
classif.ranger(3)_num.threads1
classif.ranger(3)_verboseFALSE
classif.ranger(3)_seed1
classif.ranger(3)_kindMersenne-Twister
classif.ranger(3)_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
0.8629
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8606
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7176
Cross-validation details (10-fold Crossvalidation)
KB relative information score
71.1681
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.14
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8639
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.86
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9864
Cross-validation details (10-fold Crossvalidation)
Recall
0.86
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2855
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7558
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.872
UserCPU time millis testing
0.14
UserCPU time millis training
0.732