Run
515804

Run 515804

Task 57 (Supervised Classification) ionosphere Uploaded 28-01-2016 by Rafael Gomes Mantovani
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Flow

classif.multinom(5)Learner classif.multinom from package(s) nnet.
classif.multinom(5)_seed1
classif.multinom(5)_kindMersenne-Twister
classif.multinom(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
0.8481
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8722
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7188
Cross-validation details (10-fold Crossvalidation)
KB relative information score
251.8659
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1254
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.875
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8746
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8746
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2722
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3541
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7381
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.425
UserCPU time millis testing
0.099
UserCPU time millis training
0.326