Run
168930

Run 168930

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 20-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I10
weka.MultiBoostAB_NaiveBayes(2)_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
0.6022
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4796
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1353
Cross-validation details (10-fold Crossvalidation)
KB relative information score
16.3532
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4704
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4944
Cross-validation details (10-fold Crossvalidation)
Number of instances
369
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
0.6503
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5366
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.992
Cross-validation details (10-fold Crossvalidation)
Recall
0.5366
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9514
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4972
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5709
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1481
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.2336
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)