Run
507008

Run 507008

Task 3637 (Supervised Classification) analcatdata_michiganacc 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
0.7271
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7312
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4551
Cross-validation details (10-fold Crossvalidation)
KB relative information score
48.9568
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2685
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
108
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.731
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7315
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9914
Cross-validation details (10-fold Crossvalidation)
Recall
0.7315
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5436
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5182
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0428
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.108
UserCPU time millis testing
0.042
UserCPU time millis training
0.066