Run
509261

Run 509261

Task 40 (Supervised Classification) glass Uploaded 27-01-2016 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
0.8375
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7672
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6884
Cross-validation details (10-fold Crossvalidation)
KB relative information score
147.1637
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0641
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.776
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7757
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.7757
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3029
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2532
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7803
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
11.211
UserCPU time millis testing
2.097
UserCPU time millis training
9.114