Run
271

Run 271

Task 57 (Supervised Classification) ionosphere Uploaded 07-04-2014 by Jan van Rijn
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Flow

weka.IBk(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.805
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8537
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6757
Cross-validation details (10-fold Crossvalidation)
KB relative information score
239.4398
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1418
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)
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.8706
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8604
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8604
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.308
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3725
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7765
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2008.2758