Run
514674

Run 514674

Task 9990 (Supervised Classification) energy-efficiency Uploaded 28-01-2016 by Rafael Gomes Mantovani
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Flow

classif.randomForestSRC(5)Learner classif.randomForestSRC from package(s) randomForestSRC.
classif.randomForestSRC(5)_na.actionna.impute
classif.randomForestSRC(5)_seed1
classif.randomForestSRC(5)_kindMersenne-Twister
classif.randomForestSRC(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
0.5443
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.119
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0865
Cross-validation details (10-fold Crossvalidation)
KB relative information score
74.3349
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0463
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.05
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1574
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1198
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7568
Cross-validation details (10-fold Crossvalidation)
Recall
0.1198
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9256
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1581
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2152
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3614
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
177.879
UserCPU time millis testing
13.287
UserCPU time millis training
164.592