Run
22393

Run 22393

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 21-06-2014 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_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I10
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9937
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9286
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9206
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1860.8391
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0143
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.9292
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9285
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9285
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0795
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1103
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3675
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.2309[569.08339557480821014.1868590421574460.4381715677765909.27509318503251738.1710384960516]