Run
16551

Run 16551

Task 1 (Supervised Classification) anneal 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.AdaBoostM1_LMT(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_LMT(1)_I40
weka.AdaBoostM1_LMT(1)_P100
weka.AdaBoostM1_LMT(1)_S1
weka.AdaBoostM1_LMT(1)_Wweka.classifiers.trees.LMT
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0

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
0.9942
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9861
Cross-validation details (10-fold Crossvalidation)
KB relative information score
865.8549
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0018
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9944
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0131
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0412
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1594
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
576.0186[330.9754547083218902.555042907464234.33912611263722497.4269467718531914.7962353878092]