Run
510564

Run 510564

Task 3695 (Supervised Classification) fri_c2_250_10 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
0.8861
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8994
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7815
Cross-validation details (10-fold Crossvalidation)
KB relative information score
194.0842
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4633
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8995
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9468
Cross-validation details (10-fold Crossvalidation)
Recall
0.9
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2158
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4812
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3162
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6572
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
2.84
UserCPU time millis testing
0.074
UserCPU time millis training
2.766