Run
593879

Run 593879

Task 3493 (Supervised Classification) monks-problems-2 Uploaded 16-06-2016 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_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.FilteredClassifier_NaiveBayes(1)_Fweka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate " -F "weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\'T\'HH:mm:ss" -F "weka.filters.unsupervised.attribute.RemoveUseless -M 99.0"
weka.FilteredClassifier_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

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
0.5446
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5075
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0551
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-11.6671
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4465
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4254
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.629
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.629
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9906
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4781
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0073
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
901.458
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)