Run
517073

Run 517073

Task 3857 (Supervised Classification) vehicle Uploaded 29-01-2016 by Rafael Gomes Mantovani
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

classif.avNNet(5)Learner classif.avNNet from package(s) nnet.
classif.avNNet(5)_size3
classif.avNNet(5)_seed1
classif.avNNet(5)_kindMersenne-Twister
classif.avNNet(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
0.5046
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6381
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0136
Cross-validation details (10-fold Crossvalidation)
KB relative information score
220.2157
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2553
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3828
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.81
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7447
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8241
Cross-validation details (10-fold Crossvalidation)
Recall
0.7447
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6669
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4374
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5053
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1553
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
2.223
UserCPU time millis testing
0.287
UserCPU time millis training
1.936