Run
23676

Run 23676

Task 15 (Supervised Classification) breast-w Uploaded 26-06-2014 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_RandomTree(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_RandomTree(1)_I80
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9298
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9341
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8541
Cross-validation details (10-fold Crossvalidation)
KB relative information score
592.4878
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0659
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
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
0.9341
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9342
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9342
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1457
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2539
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5342
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.9487[570.94618719647461014.1868590421574474.68690723372646909.90626928802961760.017229859821]