Run
167826

Run 167826

Task 3854 (Supervised Classification) car Uploaded 19-02-2015 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)_I40
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
0.9781
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.942
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8617
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1468.8867
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0595
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4199
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
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
0.942
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9421
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.9421
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1416
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.226
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4932
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.6434
UserCPU time millis
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
80
Cross-validation details (10-fold Crossvalidation)