Run
509960

Run 509960

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

classif.multinom(5)Learner classif.multinom from package(s) nnet.
classif.multinom(5)_seed1
classif.multinom(5)_kindMersenne-Twister
classif.multinom(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
0.7085
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.711
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4134
Cross-validation details (10-fold Crossvalidation)
KB relative information score
40.3362
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.29
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
0.7132
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.71
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9864
Cross-validation details (10-fold Crossvalidation)
Recall
0.71
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5914
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5385
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0877
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.228
UserCPU time millis testing
0.075
UserCPU time millis training
0.153