Run
519822

Run 519822

Task 3608 (Supervised Classification) fri_c4_500_100 Uploaded 05-02-2016 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

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
0.8188
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8292
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6509
Cross-validation details (10-fold Crossvalidation)
KB relative information score
327.6819
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.168
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4913
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8367
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.832
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9875
Cross-validation details (10-fold Crossvalidation)
Recall
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3419
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4956
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4099
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.827
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
7.972
UserCPU time millis testing
0.61
UserCPU time millis training
7.362