Run
508299

Run 508299

Task 3742 (Supervised Classification) fri_c4_100_10 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
0.7874
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7894
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.577
Cross-validation details (10-fold Crossvalidation)
KB relative information score
57.7795
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.21
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7903
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.79
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10-fold Crossvalidation)
Recall
0.79
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4215
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9182
Cross-validation details (10-fold Crossvalidation)
Total cost
UserCPU time millis
0.72
UserCPU time millis testing
0.113
UserCPU time millis training
0.607