Run
485005

Run 485005

Task 3654 (Supervised Classification) fri_c1_100_10 Uploaded 01-12-2015 by Rafael Gomes Mantovani
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Flow

classif.avNNet(1)Learner classif.avNNet from package(s) nnet.
classif.avNNet(1)_size3
classif.avNNet(1)_seed1
classif.avNNet(1)_kindMersenne-Twister
classif.avNNet(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.

17 Evaluation measures

Area under ROC curve
0.79
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7302
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.46
Cross-validation details (10-fold Crossvalidation)
KB relative information score
35.6013
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3313
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7318
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.73
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10-fold Crossvalidation)
Recall
0.73
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6649
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4358
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8731
Cross-validation details (10-fold Crossvalidation)