Run
23644

Run 23644

Task 15 (Supervised Classification) breast-w Uploaded 26-06-2014 by Joaquin Vanschoren
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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)_I40
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
0.9308
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
593.1997
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0653
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
0.1446
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2522
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5306
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.6234[561.7522155508621014.1867954103211479.99187728791736906.75889678256981750.4272808716194]