Run
16073

Run 16073

Task 29 (Supervised Classification) credit-approval Uploaded 04-06-2014 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)_I80
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
0.9091
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8695
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7358
Cross-validation details (10-fold Crossvalidation)
KB relative information score
492.9073
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1426
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
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
0.8695
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8696
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8696
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2887
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3398
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6837
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.9419[547.4704052124141012.3220633477529480.4213690634573904.56866745157771754.9271701211055]