Run
517158

Run 517158

Task 9907 (Supervised Classification) autoUniv-au6-400 Uploaded 29-01-2016 by Rafael Gomes Mantovani
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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
0.5045
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.139
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0093
Cross-validation details (10-fold Crossvalidation)
KB relative information score
55.2195
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1794
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2075
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1474
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2825
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.7777
Cross-validation details (10-fold Crossvalidation)
Recall
0.2825
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8643
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.322
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4235
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3155
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
4.886
UserCPU time millis testing
0.673
UserCPU time millis training
4.213