Run
64881

Run 64881

Task 1 (Supervised Classification) anneal Uploaded 18-11-2014 by Manuel Martin Salvador
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Vote_J48(1)Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.
weka.J48(13)_C0.25
weka.J48(13)_M2
weka.Vote_J48(1)_RAVG
weka.Vote_J48(1)_S1
weka.Vote_J48(1)_Bweka.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.

21 Evaluation measures

Area under ROC curve
0.9893
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0641
Cross-validation details (10-fold Crossvalidation)
Build memory
230984574.9488
Cross-validation details (10-fold Crossvalidation)
F measure
0.9862
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9663
Cross-validation details (10-fold Crossvalidation)
KB relative information score
595.94
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0632
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_13, amd64, Windows 7, 6.1]
Precision
0.9866
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9866
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9866
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4706
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1254
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4857
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1526.8851