Run
316506

Run 316506

Task 2979 (Supervised Classification) meta_instanceincremental.arff Uploaded 21-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_Discretize_J48(4)Weka implementation of FilteredClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.FilteredClassifier_Discretize_J48(4)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(4)_Wweka.classifiers.trees.J48
weka.Discretize(3)_Rfirst-last
weka.Discretize(3)_precision6

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

Area under ROC curve
0.7499
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7911
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5311
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
341.4441
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1137
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2277
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
740
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.7766
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8135
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.3146
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8135
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4992
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3317
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2876
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8669
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1341.5795
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)