Run
516807

Run 516807

Task 23 (Supervised Classification) cmc Uploaded 29-01-2016 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
0.6422
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5371
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.282
Cross-validation details (10-fold Crossvalidation)
KB relative information score
496.2557
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3073
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5359
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.539
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.539
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7133
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5544
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1944
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
15.072
UserCPU time millis testing
1.134
UserCPU time millis training
13.938