Run
513428

Run 513428

Task 3583 (Supervised Classification) rmftsa_ladata Uploaded 28-01-2016 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
0.8892
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8916
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7796
Cross-validation details (10-fold Crossvalidation)
KB relative information score
395.4125
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1083
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4921
Cross-validation details (10-fold Crossvalidation)
Number of instances
508
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8916
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8917
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9886
Cross-validation details (10-fold Crossvalidation)
Recall
0.8917
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.22
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.496
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.329
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6634
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
3.897
UserCPU time millis testing
0.271
UserCPU time millis training
3.626