Run
24488

Run 24488

Task 30 (Supervised Classification) page-blocks Uploaded 10-07-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_OneR(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_OneR(1)_I20
weka.AdaBoostM1_OneR(1)_P100
weka.AdaBoostM1_OneR(1)_S1
weka.AdaBoostM1_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

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
0.9443
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9396
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6805
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3406.7968
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0227
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
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
0.9394
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9474
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9474
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2976
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1363
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6997
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
595.0561[345.53103977210054902.555042907464242.92801028643973525.1281942935622959.1382330819679]