Run
506000

Run 506000

Task 3731 (Supervised Classification) visualizing_livestock Uploaded 15-01-2016 by Rafael Gomes Mantovani
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Flow

classif.multinom(3)Learner classif.multinom from package(s) nnet.
classif.multinom(3)_seed1
classif.multinom(3)_kindMersenne-Twister
classif.multinom(3)_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
0.6029
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7671
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2227
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20.5024
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2231
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3135
Cross-validation details (10-fold Crossvalidation)
Number of instances
130
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7598
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7769
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7158
Cross-validation details (10-fold Crossvalidation)
Recall
0.7769
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7115
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3941
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4723
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1983
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.13
UserCPU time millis testing
0.044
UserCPU time millis training
0.086