Run
520133

Run 520133

Task 3817 (Supervised Classification) spectrometer 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
0.8664
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.961
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7832
Cross-validation details (10-fold Crossvalidation)
KB relative information score
385.2711
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0377
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1869
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9608
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9623
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4849
Cross-validation details (10-fold Crossvalidation)
Recall
0.9623
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2015
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3047
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1941
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6369
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
2.953
UserCPU time millis testing
0.158
UserCPU time millis training
2.795