Run
509977

Run 509977

Task 3641 (Supervised Classification) fri_c2_100_25 Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.randomForest(42)Learner classif.randomForest from package(s) randomForest.
classif.randomForest(42)_seed1
classif.randomForest(42)_kindMersenne-Twister
classif.randomForest(42)_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
0.8456
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8498
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6931
Cross-validation details (10-fold Crossvalidation)
KB relative information score
69.1127
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.15
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8497
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.85
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9864
Cross-validation details (10-fold Crossvalidation)
Recall
0.85
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3059
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3873
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7823
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.638
UserCPU time millis testing
0.08
UserCPU time millis training
1.558