Run
249547

Run 249547

Task 4558 (Supervised Classification) eucalyptus Uploaded 04-03-2015 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_Standardize_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.FilteredClassifier_Standardize_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
0.8237
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6645
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3621
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
586.007
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3509
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4127
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
7360
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8118
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.653
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8704
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.653
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8503
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4541
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5492
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.2093
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
889.3151
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)