Run
167251

Run 167251

Task 3528 (Supervised Classification) la2s.wc Uploaded 18-02-2015 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)_I80
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
0.9427
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8099
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7631
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2384.2953
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0678
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2655
Cross-validation details (10-fold Crossvalidation)
Number of instances
3075
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
0.8151
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8101
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4305
Cross-validation details (10-fold Crossvalidation)
Recall
0.8101
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2553
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3643
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2336
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6411
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.5243
UserCPU time millis
2763400
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
821810
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1941590
Cross-validation details (10-fold Crossvalidation)