Run
510650

Run 510650

Task 3798 (Supervised Classification) fri_c1_250_10 Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.mda(1)Learner classif.mda from package(s) !mda.
classif.mda(1)_keep.fittedFALSE
classif.mda(1)_start.methodlvq
classif.mda(1)_seed1
classif.mda(1)_kindMersenne-Twister
classif.mda(1)_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
0.7445
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7508
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4928
Cross-validation details (10-fold Crossvalidation)
KB relative information score
123.3847
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.248
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7511
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.752
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9898
Cross-validation details (10-fold Crossvalidation)
Recall
0.752
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5032
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.498
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0032
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.014
UserCPU time millis testing
0.061
UserCPU time millis training
0.953