Run
578275

Run 578275

Task 18 (Supervised Classification) mfeat-morphological Uploaded 03-06-2016 by Jan van Rijn
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weka.LWL_J48(3)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.LWL_J48(3)_Atrue
weka.LWL_J48(3)_K-1
weka.LWL_J48(3)_U0
weka.LWL_J48(3)_Wweka.classifiers.trees.J48

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

22 Evaluation measures

0.9088
Per class
Cross-validation details (10-fold Crossvalidation)
0.7039
Per class
Cross-validation details (10-fold Crossvalidation)
0.6756
Cross-validation details (10-fold Crossvalidation)
1482.1971
Cross-validation details (10-fold Crossvalidation)
0.0624
Cross-validation details (10-fold Crossvalidation)
0.18
Cross-validation details (10-fold Crossvalidation)
2000
Per class
Cross-validation details (10-fold Crossvalidation)
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
0.7048
Per class
Cross-validation details (10-fold Crossvalidation)
0.708
Cross-validation details (10-fold Crossvalidation)
3.3219
Cross-validation details (10-fold Crossvalidation)
0.708
Per class
Cross-validation details (10-fold Crossvalidation)
0.3469
Cross-validation details (10-fold Crossvalidation)
0.3
Cross-validation details (10-fold Crossvalidation)
0.2064
Cross-validation details (10-fold Crossvalidation)
0.688
Cross-validation details (10-fold Crossvalidation)
1396.1054
68620
Cross-validation details (10-fold Crossvalidation)
68620
Cross-validation details (10-fold Crossvalidation)
Cross-validation details (10-fold Crossvalidation)