Run
545821

Run 545821

Task 3785 (Supervised Classification) fri_c2_100_50 Uploaded 01-04-2016 by Rafael Gomes Mantovani
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Flow

classif.ranger(5)Learner classif.ranger from package(s) ranger.
classif.ranger(5)_num.threads1
classif.ranger(5)_verboseFALSE
classif.ranger(5)_seed1
classif.ranger(5)_kindMersenne-Twister
classif.ranger(5)_normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.8801
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8803
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7553
Cross-validation details (10-fold Crossvalidation)
KB relative information score
75.0525
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.12
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4875
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8814
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.88
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9822
Cross-validation details (10-fold Crossvalidation)
Recall
0.88
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3464
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7019
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.862
UserCPU time millis testing
0.088
UserCPU time millis training
0.774