Run
506859

Run 506859

Task 7306 (Supervised Classification) iris Uploaded 27-01-2016 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
0.975
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.6333
Cross-validation details (10-fold Crossvalidation)
F measure
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.95
Cross-validation details (10-fold Crossvalidation)
KB relative information score
143.1546
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0222
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9668
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.05
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1491
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3162
Cross-validation details (10-fold Crossvalidation)
Total cost
95
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.014
UserCPU time millis testing
0.132
UserCPU time millis training
0.882